Ali Sunyaev

224 papers receiving 3.2k citations

Hit Papers

Trustworthy artificial intelligence 2020 · 307 citations
3070+2+4Years since publication100200300

Peers

Ali Sunyaev
Comparison fields: 5 of 142
  • Health Informatics 113
  • Information Systems and Management 445
  • Management Information Systems 553
  • Applied Psychology 306
  • Health Information Management 264
Replace Guodong Gao with:
Guodong Gao United States
A.K.M. Najmul Islam Finland
Andrew Burton‐Jones Australia
Atreyi Kankanhalli Singapore
Bonnie Kaplan United States
Mohamed Khalifa Hong Kong
Nigel Shadbolt United Kingdom
Mohammad Hossein Jarrahi United States
Khaled El Emam Canada
Sari Kujala Finland
Ali Sunyaev relative to Guodong Gao United States Guodong Gao's profile →
Citations per field
00.5×1.5×1.9×
Guodong Gao · 1×
Citations per year

Countries citing papers authored by Ali Sunyaev

Since Specialization
Citations

This map shows the geographic impact of Ali Sunyaev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ali Sunyaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Sunyaev more than expected).

Fields of papers citing papers by Ali Sunyaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Sunyaev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ali Sunyaev. The network helps show where Ali Sunyaev may publish in the future.

Co-authors

The 25 scholars most cited alongside Ali Sunyaev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Sunyaev Line = papers co-authored together Ali Sunyaev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trustworthy artificial intelligence
Hit paper breakdown →
2020307
2 2014256
3 2012212
4 2015180
5 2014164
6 202095
7 201888
8 201384
9 201068
10 202163
11 201662
12 202161
13 201959
14 202055
15 202150
16 202049
17 201941
18 202140
19 201639
20 201838

About Ali Sunyaev

Ali Sunyaev is a scholar working on Information Systems, Management Information Systems, Sociology and Political Science, Artificial Intelligence and General Health Professions, having authored 241 papers that have together received 3.3k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (37 papers), Electronic Health Records Systems (29 papers), Digitalization, Law, and Regulation (28 papers), Privacy, Security, and Data Protection (27 papers), Mobile Health and mHealth Applications (26 papers), Digital Innovation in Industries (22 papers), Big Data and Business Intelligence (21 papers) and Medical and Health Sciences Research (19 papers). The work is most often cited by research in Health Informatics (113 citations), Information Systems and Management (445 citations), Management Information Systems (553 citations), Applied Psychology (306 citations) and Health Information Management (264 citations). Ali Sunyaev has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Sebastian Lins, Scott Thiebes, Tobias Dehling, Stephan Schneider, Helmut Krcmar, Stephan Schneider, Fangjian Gao, Manuel Schmidt-Kraepelin, Jan Marco Leimeister and Patrick L. Taylor. Their work appears in journals such as Journal of the Association for Information Systems, Business & Information Systems Engineering, Electronic Markets, Journal of Medical Internet Research and IEEE Access.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact