Ali Sunyaev

293 papers receiving 4.2k citations

Ali Sunyaev's Hit Papers

Trustworthy artificial intelligence 2020 · 376 citations
3760+2+4Years since publication100200300

Peers

Ali Sunyaev
Comparison fields: 5 of 145
  • Health Informatics 130
  • Management Information Systems 729
  • Information Systems 1.6k
  • Health Information Management 287
  • Information Systems and Management 445
Replace A.K.M. Najmul Islam with:
A.K.M. Najmul Islam Finland
Mark Rouncefield United Kingdom
Andrew Burton‐Jones Australia
Mostafa Al‐Emran United Arab Emirates
Muhammad Anshari Brunei
Khaled El Emam Canada
Oliver Hinz Germany
Ohbyung Kwon South Korea
Álvaro Rocha Portugal
Richard Evans United Kingdom
Ali Sunyaev relative to A.K.M. Najmul Islam Finland A.K.M. Najmul Islam's profile →
Citations per field
00.5×2.6×
A.K.M. Najmul Islam · 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 323 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trustworthy artificial intelligence
Hit paper breakdown →
2020376
2 2014291
3 2012237
4 2014207
5 2015195
6 2020119
7 2018113
8 2013107
9 201693
10 202187
11 202179
12 201072
13
202072
14
202066
15 201966
16 202065
17 202159
18 201958
19 202052
20 202150

About Ali Sunyaev

Ali Sunyaev is a scholar working on Information Systems, Management Information Systems, Sociology and Political Science, Artificial Intelligence and Management of Technology and Innovation, having authored 323 papers that have together received 4.4k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (59 papers), Digitalization, Law, and Regulation (38 papers), Digital Innovation in Industries (36 papers), Cloud Data Security Solutions (34 papers), Privacy, Security, and Data Protection (32 papers), Electronic Health Records Systems (31 papers), Mobile Health and mHealth Applications (24 papers) and Business Process Modeling and Analysis (23 papers). The work is most often cited by research in Health Informatics (130 citations), Management Information Systems (729 citations), Information Systems (1.6k citations), Health Information Management (287 citations) and Information Systems and Management (445 citations). Ali Sunyaev has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Sebastian Lins, Scott Thiebes, Tobias Dehling, Stephan Schneider, Helmut Krcmar, Stephan Schneider, Fangjian Gao, Jan Marco Leimeister, Manuel Schmidt-Kraepelin and Niclas Kannengießer. Their work appears in journals such as Journal of the Association for Information Systems, Business & Information Systems Engineering, Journal of Medical Internet Research, Electronic Markets 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.

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