Ali Sunyaev
Impact in
- Health Informatics top 1%
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- Big Data and Business Intelligence
Papers in
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- Blockchain Technology Applications and Security 36
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- Big Data and Business Intelligence 20
- Co-authors
- Scott Thiebes (49 shared papers)Sebastian Lins (41 shared papers)Tobias Dehling (37 shared papers)Stephan Schneider (12 shared papers)Helmut Krcmar (44 shared papers)Stephan Schneider (4 shared papers)Fangjian Gao (8 shared papers)Manuel Schmidt-Kraepelin (32 shared papers)
- Journals
- Journal of the Association for Information Systems (46 papers)Business & Information Systems Engineering (9 papers)Journal of Medical Internet Research (6 papers)Electronic Markets (6 papers)IEEE Access (4 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Ali Sunyaev
229 papers receiving 3.3k citations
Ali Sunyaev's Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 104
- Management Information Systems 551
- Information Systems and Management 412
- Health Information Management 238
- Information Systems 1.1k
Countries citing papers authored by Ali Sunyaev
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
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.
All Works
Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trustworthy artificial intelligence Hit paper breakdown → | 2020 | 317 |
| 2 | 2014 | 257 | |
| 3 | 2012 | 216 | |
| 4 | 2015 | 182 | |
| 5 | 2014 | 166 | |
| 6 | 2020 | 95 | |
| 7 | 2018 | 91 | |
| 8 | 2013 | 85 | |
| 9 | 2021 | 69 | |
| 10 | 2010 | 67 | |
| 11 | 2016 | 64 | |
| 12 | 2021 | 62 | |
| 13 | 2019 | 60 | |
| 14 | 2020 | 56 | |
| 15 | 2021 | 50 | |
| 16 | 2020 | 49 | |
| 17 | 2021 | 46 | |
| 18 | 2019 | 41 | |
| 19 | 2016 | 39 | |
| 20 | 2023 | 38 |
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 243 papers that have together received 3.4k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (36 papers), Electronic Health Records Systems (28 papers), Digitalization, Law, and Regulation (28 papers), Privacy, Security, and Data Protection (26 papers), Mobile Health and mHealth Applications (23 papers), Digital Innovation in Industries (22 papers), Big Data and Business Intelligence (20 papers) and Medical and Health Sciences Research (19 papers). The work is most often cited by research in Health Informatics (104 citations), Management Information Systems (551 citations), Information Systems and Management (412 citations), Health Information Management (238 citations) and Information Systems (1.1k citations). Ali Sunyaev has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Scott Thiebes, Sebastian Lins, Tobias Dehling, Stephan Schneider, Helmut Krcmar, Stephan Schneider, Fangjian Gao, Manuel Schmidt-Kraepelin, Jan Marco Leimeister and Kenneth D. Mandl. 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.