Iranian Artificial Intelligence Research Map Based on Scopus Citation Database (1978-2022)

Document Type : Research Paper

Authors

1 Ph.D.in Management, Head of AI Monitor, Part AI Research-Center.

2 Ph.D.in Information Technology Management, Expert of AI Monitor, Part AI Research-Center.

3 Ph.D.in Management of Technology, Expert of AI Monitor, Part AI Research-Center.

Abstract

importance of artificial intelligence, the increasing growth, and the high penetration rate of this technology in other sciences, the necessity of conducting scientometric studies is fully felt. The literature review on the research topic shows that very few studies have been conducted in this case or with not enough comprehensiveness. Considering rapid and significant progress in this field, it needs to be clarified to reveal the current situation and future trends based on scientometric techniques.
To fill this existing gap, the present study seeks to answer the question that how is the scientific map of the published studies in the field of artificial intelligence by Iranian researchers in the Scopus database, and based on this map, what are the noteworthy fields of researchers?
Methodology: The current research is a quantitative and practical study using scientific methods, including co-word analysis and social network analysis. The research population includes all documents in the field of artificial intelligence with at least one author who is affiliated with an Iranian organization and indexed in the Scopus database from the beginning to January 2022. VOSviewer and Gephi are the software used to analyze data and extract maps. The reason for choosing the Scopus database is that this database contains 70 million research articles reviewed by more than 5000 international publishers (Zhang et. al, 2021), and also the database has relative uniformity in all fields (Batooli et al. 2019).
Findings: The results of the analysis show that Iranian researchers have published the most documents in 2021, and also the best position of Iran in the field of artificial intelligence was the 20th rank, which was achieved in 2021. Overall, Iran ranks 31 in this database and third among Middle Eastern countries after Israel and Turkey.
Among the types of published documents, articles with number of 3124 are in the first place and notes are in the last place with a number of two published items.
19.9% of the published documents of Iranian papers have not received any citations. The greatest number of published documents have between 1 and 5 citations. The highest number of citations belongs to an article with 824 citations. Also, findings show the most frequent keywords are "artificial intelligence", "algorithm" and "optimization".
The network structure of high-frequency keywords with a repetition threshold of at least 15, consists of five clusters. In the first cluster, the keyword "neural network" has the highest link weight. In the next "artificial intelligence", "machine learning" and "learning systems" have the highest link weights and the only word in the fifth cluster is "mathematical model" and keywords are placed in five clusters: “inference and prediction”, “intelligent algorithms”, “diagnosis and learning”, “data analysis”, and “mathematical models”.
In the coauthor network of 80 countries collaborating with Iranian writers, the most collaboration is between Iranian and American researchers. This network has classified collaborating countries into eight clusters based on direct relations.
Conclusion: The findings showed that the most frequent keywords are artificial intelligence, algorithm, optimization, and neural network. Optimizing is common between this study and GhaviDel, Nezamdost, & Riahinia's (2020). Also, the neural network is common between the present study and the study of Feng & Law (2021) and the study of Darko et al. (2020).
The comparison of the most frequent keywords in Iranian and non-Iranian documents shows that Iranian researchers in choosing their research topics were aligned to the general trend of scientific development in most years, and in some years, they have progressed with a step delay.
The results of the cluster analysis show that the studies were divided into five thematic clusters. This is even though the study of GhaviDel, Nezamdost, & Riahinia (2020) identified 12 clusters. Also, the difference between the results of the clustering of the present study and the study of Taherian & Assareh (2012) is that in the present study, clustering was done on the documents published by Iranian researchers, but in that study, the clustering was done on all the published documents in the field of artificial intelligence.
According to the findings of the research, at the beginning of 2022, Iran was in the 31st rank. Meanwhile, Iran's rank in the study of FarzinYazdi and RezaeiSharifabadi (2017) in the same Scopus database was 17.
Iranian researchers do not observe standard affiliations of education institutes and it leads to inaccuracy in the search results.
Also, the results show that the process of Iranian documents has been generally upward. However, this growth rate is lower compared to other countries. In the following research topics, Iranian researchers have been in line with the general direction for most of the years, and in some years they have been one step behind.

Keywords

References

ابراهیم‌زاده, صنم, رضایی شریف‌آبادی, سعید, کربلا آقایی کامران, معصومه. (1398). بررسی وضعیت تولیدات علمی و ترسیم نقشه هم‌رخدادی واژگان حوزه رفتار اطلاع‌یابی مشارکتی بر اساس مقالات نمایه‌شده در پایگاه وب علوم. پژوهش‌نامه علم‌سنجی, 5 (9), 185-202. DOI: 10.22070/rsci.2019.821
احمدی، ح.، سلیمی، ع.، و زنگیشه، ا. (1392). علم‌سنجی، خوشه‌بندی و نقشه دانش تولیدات علمی ادبیات تطبیقی در ایران. کاوش‌نامه ادبیات تطبیقی، 11، 1-28.
اکبری, مرتضی, دلبری راغب, فاطمه, ذوالفقاری, عاطفه, کلانکی, ابوالفضل, رازی, سمیرا. (1394). ترسیم نقشۀ دانش کارآفرینی ایران بر مبنای مقالات علمی و پژوهشی در ایران. مجله علمی مدیریت فرهنگ سازمانی (4)13، 1091-1112، DOI: 10.22059/JOMC.2016.55429
باب‌الحوائجی، ف.، زارعی، ع.، نشاط، ن.، و حریری، ن. (1393). نقشه دانش علم اطلاعات و دانش‌شناسی بر اساس مقوله‌بندی موضوعی. فصلنامه مطالعات کتابداری و علم اطلاعات، 13، 1-24.
بتولی، ز.، ناخدا، م.، فهیمی‌فر، س.، و فهیم‌نیا، ف. (1399). ترسیم نقشه موضوعی مقالات حوزه "بازی در کتابخانه‌ها" در اسکوپوس. پژوهش‌نامه علم‌سنجی، 6(1)، 21-4، DOI :10.22070/RSCI.2018.642
دانیالی, سمیرا, نقشینه, نادر. (1397). مطالعه روند پژوهش و ترسیم نقشه دانش قلمروهای پژوهشی فعال حوزه بازیابی تصویر بر اساس مقالات نمایه‌‌شده در وب آو ساینس از سال‌های 2012-2001. پژوهش‌نامه علم‌سنجی, 4 (7), 119-142. DOI: 10.22070/rsci.2018.612
تلافی داریانی، م.، حیدری، ع.، و حاجی حیدری، ن. (1398). کاربرد تحلیل هم‌رخدادی واژگان در بررسی قلمرو معنایی مشترک میان دو دیدگاه نظری (مورد مطالعه: قابلیت‌های پویا و دوسوتوانی). نشریه علمی مدیریت اطلاعات، 5 (2)، 197-219.
رمضانی، ه.، علیپور حافظی، م.، و مؤمنی، ع. (1393). نقشه‌های علمی: فنون و روش‌ها. ترویج علم، 53-84. DOI: 10.22034/AIMJ.2020.111353
ریاحی عارف، صیامیان حسن، زارع امین، یمین فیروز موسی. ترسیم نقشه تولیدات علمی دانشگاه علوم پزشکی مازندران در پایگاه اطلاعاتی اسکوپوس طی سال‏های ۱۹۹۲-۲۰۱۳. مجله دانشگاه علوم پزشکی مازندران. ۱۳۹۳; ۲۴ (۱۲۲) :۴۰۰-۳۹۵
زندی روان، ن.، داورپناه، م.، و فتاحی، ر. (1395). مروری بر رسم نقشه علم و روش‌شناسی آن. پژوهش‌نامه علم‌سنجی، 2، 57-76. DOI: 10.22070/RSCI.2016.469
سهیلی، ف.، خاصه، ع.، و کرانیان، پ. (1398). گزارش نهایی طرح پژوهشی ترسیم ساختار فکری حوزه سازمان‌دهی دانش با استفاده از تحلیل هم‌رخدادی واژگان. پژوهش‌نامه پردازش و مدیریت اطلاعات. DOI: 10.35050/JIPM010.2019.026
سهیلی، ف.، توکلی‌زاده راوری، م.، حاضری، ا.، و دوست حسینی، ن. (1397). ترسیم نقشه علم. دانشگاه پیام نور.
صدیقی، م. (1393). بررسی کاربرد روش تحلیل هم‌رخدادی واژگان در ترسیم ساختار حوزه‌های علمی (مطالعه موردی: حوزه اطلاع‌سنجی). پردازش و مدیریت اطلاعات (علوم و فناوری اطلاعات), 30 (2), 373-396.
طاهریان، آ.، و عصاره ، ف. (1389). بررسی تحلیلی و ترسیم نقشه علمی حوزه هوش مصنوعی در سال‌های ۱۹۸۸ تا ۲۰۰۸ در وب‌گاه علوم. مجله مطالعات کتابداری و علم اطلاعات (علوم تربیتی و روانشناسی)، 2، 31-68.
عبدی، آ. (1396). بررسی وضعیت فناوری هوش مصنوعی در ایران و جهان. معاونت پژوهش‌های زیربنایی و امور تولیدی دفتر مطالعات ارتباطات و فناوری‌های نوین مجلس شورای اسلامی.
عبدی‌نسب، ع.، و مؤمنی، ع.، و طاهری، س. (1397). طراحی الگوی سیستم نرم‌افزاری اعتباریابی کتاب‌های دانشگاهی مبتنی بر متن‌کاوی. پژوهش و نگارش کتب دانشگاهی, 22 (42), 38-77. DOI: 20.1001.1.26767503.1397.22.42.2.8
علی‌نژاد چمازکتی, فاطمه, میرحق جو لنگرودی, سعیده. (1401). تحلیل علم‌سنجی و الگوهای هم‌نویسندگی و استناد مقالات منتشرشده در نشریات وب آو ساینس کشورهای ایران و ترکیه. پژوهش‌نامه علم‌سنجی، DOI: 10.22070/rsci.2022.14765.1513
فرزین یزدی، م.، و رضایی شریف‌آبادی، س. (1396). بررسی تولیدات علمی حوزه موضوعی هوش مصنوعی در کشورهای خاورمیانه طی سال‌های 1996 تا 2014. پژوهش‌نامه علم‌سنجی، 3 (2)، 97-114. DOI: 10.22070/RSCI.2017.512
محمودخانی, م. (1400). بررسی وضعیت تولیدات علمی و هم‌رخدادی واژگان کلیدی حوزه مالیات بر اساس مقالات نمایه‌شده در پایگاه وب آو ساینس. پژوهش‌نامه علم‌سنجی، 7 (14)، 136-115. DOI: 10.22070/rsci.2020.5239.1355
مکی‌زاده، ف.، و ابراهیمی، و. (1396). ترسیم نقشه‌ علمی حوزهی موضوعی مدیریت ریسک در پایگاه نمایه استنادی علوم ایران (ISC). مدیریت بحران، 2، 105-117. DOI: 20.1001.1.23453915.1396.6.2.9.3
نجار لشگری, سحر, زارعی, هاجر, خلخالی, علی, پالی, سمیرا. (1400). ترسیم نقشه ساختاری دانش مدیریت آموزشی در ایران: تحلیل هم‌رخدادی واژگان. پژوهش‌نامه علم‌سنجی.  DOI:  10.22070/rsci.2021.14863.1517
نظربلند, ندا, رحمانی, رضوانه, رحمانی, مهدی, عرفان‌منش, محمدامین. (1397). ترسیم و تحلیل شبکه هم‌رخدادی واژگان در پایان‌نامه‌های گروه مشاوره دانشگاه شهید بهشتی. پژوهش‌نامه علم‌سنجی, 4(7), 179-193.DOI: 10.22070/rsci.2018.613
نگهبان، م.، رمضانی‌فر، ه.، و تاج‌الدینی، ا. (1395). شناسایی حوزه‌های بین‌رشته‌ای دانشگاه شهید باهنر کرمان از طریق سنجش نقشه‌های موضوعی. نشریه علمی مدیریت اطلاعات، 5(1)، 1-14. DOI: 10.22034/AIMJ.2019.95900
نوروزیان امیری, سید محمد, خلخالی, علی, شکیبایی, زهره. (1398). تدوین نقشه دانش برای پژوهش‌های حکمت. پژوهش‌نامه علم‌سنجی, 5(9), 117-138. DOI: 10.22070/rsci.2018.757
یزدانی، ک.، نجات، س.، رحیمی موقر، آ.، و قالیچی، ل. (1393). علم‌سنجی: مروری بر مفاهیم،کاربردها و شاخص‌ها. مجله تخصصی اپیدمیولوژی ایران، 10(4)، 78-88
Abdi, A. (2017). Investigating the state of artificial intelligence technology in Iran and the world. Tehran: New Technologies Studies Office of the Islamic Council of IR. [In Persian]
Abdinasab, A., Mo'meni, E., & Taheri, S. (2018). Designing a Model of Validation Software System for Academic Textbooks Based on Text Mining. University Textbooks Research and Writing, 22(42), 38-77. doi: 20.1001.1.26767503.1397.22.42.2.8 [In Persian]
Ahmadi, H., Salimi, A., & Zangisheh, A. (2013). Scientometrics, clustering and knowledge map of scientific products of comparative literature in Iran. Research in Comparative Literature, 11, 1-28. [In Persian]
Akbari, M., Delbari Ragheb, F., Zolfaghari, A., Kalanaki, A., Razi, S. (2016). Designing Knowledge Map of Entrepreneurship in Iran based on Iran's Persian Scientific Researches. Organizational Culture Management, 13(4), 1091-1112. doi: 10.22059/jomc.2016.55429 [In Persian]
Alinezhad Chamazkoti, F., & mirhaghjoo langerudi, S. (2022). Scientometric Analysis and Co-authorship Patterns and Citation of the Articles Published in Iranian and Turkish Journals in WoS. Scientometrics Research Journal, doi: 10.22070/rsci.2022.14765.1513[In Persian]
Babalhavaeji, F., Zarei, A., Neshat, N., & Hariri , N. (2014). Mapping of Knowledge and Information Science based on Main and Sub-main Subject Categorization. Journal of Studies in Library and Information Science, 13, 1-24. [In Persian]
Batooli, Z., Nakhoda, M., Fahimifar, S., & Fahimnia, F. (21-40). Subject Map of "Game in libraries" articles in the Scopus database. Scientometrics Research Journal, 6(1), 21-40. doi: 10.22070/RSCI.2018.642 [In Persian]
Borg, I & Groenen, P. J. F. (2005). Modern multidimensional scaling (2nd ed.). Berlin: Springer. doi: 10.1007/0-387-28981-X
Danialy, S., & Naghshineh, N. (2018). Research Trend Analysis and Knowledge Mapping Of Active Research in Domain of Image Retrieval Based on Web of Science Indexed Papers during 2001-2012. Scientometrics Research Journal, 4(7), 119-142. doi: 10.22070/rsci.2018.612 [In Persian]
Darko, A., Chan, A., Adabre, M., Edwards, D., Hosseini, M., & Ameyaw, E. (2020). Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction, 112.
Ebrahimzadeh, S., Rezaei Sharifabadi, S., & Karbala Aghaee, M. (2019). Investigating Trends and Co-word Mapping of Collaborative Information Seeking Behavior (CIS) Based on Web of Science. Scientometrics Research Journal, 5(9), 185-202. doi: 10.22070/rsci.2019.821 [In Persian]
Eck, V., Jan, N., & Waltman, L. (2013). VOSviewer manual. Leiden: Univeristeit Leiden.
Eck, V., & Jan, N. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
Eck, N., & Waltman, L. (2018). VOSviewer Manual. Leiden University’s Centre.
Erokhin, S. D. (2019). A review of scientific research on artificial intelligence. Systems of Signals Generating and Processing in the Field of on Board Communications. IEEE. doi: 10.1109/SOSG.2019.8706723
Farzin Yazdi , M., & Sharifabadi , S. (2017). Scientific publications in the subject area of Artificial Intelligence in Middle Eastern countries during 1996 to 2014. Scientometrics Research Journal, 3(6), 97-114. doi: 10.22070/RSCI.2017.512 [In Persian]
GhaviDel, S., Nezamdost, S., & Riahinia, N. (2020). Conceptual Network Evolution of Cybernetic area in Middle East Countries. International Journal of Information Science and Management (IJISM), 18(2), 97-114.
He, Q. (1999). "Knowledge discovery through co-word analysis." (1999). Library Trends, 48(1), 133–159.Hosseini, M. R., Maghrebi, M., Akbarnezhad, A., Martek, I., & Arashpour, M. (2018). Analysis of citation networks in building information modeling research. Journal of Construction Engineering and Management, 144(8).
Kratsios, M., & Parker, L. (2020). American artificial intelligence initiative: year one annual report. The white house office of science and technology policy. The White House Office of Science and Technology Policy.
López Belmonte, J., Segura-Robles, A., Moreno-Guerrero, A., & Parra-González, M. (2020). Scientific Development of Educational Artificial Intelligence in Web of Science. Symmetry, 12(4). doi: 10.3390/fi12080124
Mahmoudkhani, M. (2021). Investigating the status of scientific products and the co-occurrence of keywords in the field of tax Based on Web of Science Indexed Papers. Scientometrics Research Journal, 7(14), 115-136. doi: 10.22070/rsci.2020.5239.1355[In Persian]
Makkizadeh, F., & Vajieh Ebrahimi . (2018). Scientific Mapping of Risk Management Field in ISC. Emergency Management, 6(2), 105-117. doi: 20.1001.1.23453915.1396.6.2.9.3 [In Persian]
McCarthy, J. (2016). The inversion of functions defined by Turing machines. Automata Studies. (AM-34), 34, 177-182. doi: 10.1515/9781400882618-009
Mokhtari, H., Roumiyani, A., & Saberi, M. K. (2019). Bibliometric Analysis and Visualization of the Journal of Artificial Societies and Social Simulation (JASSS) between 2000 and 2018. Webology, 16(1). doi: 10.14704/WEB/V16I1/a185
Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404. doi: 10.1016/j.jbusres.2020.10.044
Najjar Lashgari, S., Zarei, H., Khalkhali, A., & Pali, S. (2021). Mapping the Intellectual Structure in the Field of Educational Management in Iran: Co- Word Analysis. Scientometrics Research Journal. doi: 10.22070/rsci.2021.14863.1517 [In Persian]
Nazarboland, N., Rahmani, R., Rahmani, M., & Erfan manesh, M. (2018). Visualization and Analysis of Word Co-occurrence Network of the Theses in the Department of Consulting of Shahid Beheshti University. Scientometrics Research Journal, 4(7), 179-193. doi: 10.22070/rsci.2018.613 [In Persian]
Neff, M., & Corley, E. (2009). 35 years and 160,000 articles: A bibliometric exploration of the evolution of ecology. Scientometrics, 80(3), 657-682. doi: 10.1007/s11192-008-2099-3
Negahban, M., Ramezanifar, H., & Tajedini, O. (2019). Identifying Interdisciplinary Areas of Research at Shahid Bahonar University of Kerman through an Evaluation of Thematic Maps. Iranian Journal of Information Management, 5(1), 1-14. doi:  10.22034/AIMJ.2019.95900 [In Persian]
Nourozian Amiri, S., Khalkhali, A., & Shakibaei, Z. (2019). CompilIng the Knowledge Map of Wisdom Research. Scientometrics Research Journal, 5(9), 117-138. doi: 10.22070/rsci.2018.757 [In Persian]
Pandey, S., Kumar Verma, M., & Shukla, R. (2021). A Scientometric Analysis of Scientific Productivity of Artificial Intelligence Research in India. Journal of Scientometric Research, 10(2), 245-250. doi: 10.5530/jscires.10.2.38
Praveena, K., Veerakumar, R., & Rajeswari, S. (2021). Mapping of Artificial Intelligence Research Output: A Scientometric Study. Library Philosophy and Practice, 1-17.
Sedighi M. (2015) Using of co-word analysis method in mapping of the structure of scientific fields(case study: The field of Informetrics). International Journal of Information Processing and Management, 30 (2), 373-396 [In Persian]
Shao, Z., Yuan, S., Wang, Y., & Xu, J. (2021). Evolutions and trends of artificial intelligence (AI): Research, output, influence and competition. Library Hi Tech. doi: 10.1108/LHT-01-2021-0018
Ramezani, H., Alipour Hafezi , M., & Momeni, E. (2014). Scientific Maps: Methods and Techniques. Popularization of Science, 5(1), 53-84. doi: 10.22034/AIMJ.2020.111353 [In Persian]
Ravan, N. Z., Davarpanah , M., & Fattahi, R. (2016). Review of Science Map Visualization and its Methodology. Scientometrics Research Journal, 2(3), 57-76. [In Persian]
Riahi A, Siamian H, Zare A, Yaminfirooz M. Mapping the Scientific Productions of Mazandaran University of Medical Sciences in Scopus Database in 1992-2013. J Mazandaran Univ Med Sci. 2015; 24 (122) :395-400 [In Persian]
Soheili, F., Tavaklizadeh Ravari, M., Hazeri, A., & Dost Hosseini, N. (2018). Drawing a map of science. Tehran: Payam Noor. [In Persian]
Soheili, F., Khasseh, A., & Koranian, P. (2019). Iranian Journal of Information Management Map Intellectual Structure of Knowledge and Information Science in Iran based on Co-word Analysis. Iranian Journal of Information Processing & Management , 34(4), 1935-1938. doi: 10.35050/JIPM010.2019.026 [In Persian]
Taherian, A. S., & Assareh, F. (2012). Analytical review and drawing of a scientific map of the field of artificial intelligence in the years 1988-2008 in Web of Science. Journal of Studies in Library and Information Science, 6, 31-68. [In Persian]
Talafidaryani, M., Heidari, A., & Hajiheydari , N. (Iranian Journal of Information Management). Application of Word Co-Occurrence Analysis in Exploring the Shared Semantic Territory between Two Theoretical Views: A Study of Dynamic Capabilities and Ambidexterity. Iranian Journal of Information Management, 5(2), 197-219. doi: 10.22034/AIMJ.2020.111353 [In Persian]
Yazdani , K., Nedjat , S., Rahimi-Movaghar , A., Ghalichee , L., & Khalili , M. (2015). Scientometrics: Review of Concepts, Applications,and Indicators. Iranian Journal of Epidemiology, 10(4), 78 -88. [In Persian]
Zandi Ravan, N., Davarpanah, M., & Fattahi, R. (2016). Review of Science Map Visualization and its Methodology. Scientometrics Research Journal, 2(3), 57-76. doi: 10.22070/rsci.2016.469 [In Persian]
Zhang, D. Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., . . . Shoham, Y. (2021). The Artificial Intelligence (AI) Index 2021 Annual Repor. Srini Raju Centre for IT and the Networked Economy (SRITNE).
Zhang, D., Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., . . . Perrault, R. (2021). The AI Index 2021 Annual Report. Stanford: AI Index Steering Committee, Human-Centered AI Institute, Stanford University.
 

Files

Share

How to cite

Statistics