Alexei Sharpanskykh

121 papers receiving 1.1k citations

Peers

Alexei Sharpanskykh
Comparison fields: 5 of 106
  • Management Information Systems 255
  • Radiological and Ultrasound Technology 115
  • Statistics, Probability and Uncertainty 117
  • Management Science and Operations Research 175
  • Transportation 77
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Antonio De Nicola Italy
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Citations per year

Countries citing papers authored by Alexei Sharpanskykh

Since Specialization
Citations

This map shows the geographic impact of Alexei Sharpanskykh'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 Alexei Sharpanskykh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Sharpanskykh more than expected).

Fields of papers citing papers by Alexei Sharpanskykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexei Sharpanskykh. 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 Alexei Sharpanskykh. The network helps show where Alexei Sharpanskykh may publish in the future.

Co-authors

The 25 scholars most cited alongside Alexei Sharpanskykh, 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 Alexei Sharpanskykh Line = papers co-authored together Alexei Sharpanskykh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009147
2 2009126
3 200665
4 201139
5 201433
6 201131
7 201027
8 200626
9 201125
10
Verifying Interlevel Relations within Multi-Agent Systems
200624
11 201924
12 201820
13 202119
14
Formal modeling and analysis of organizations
200618
15 201917
16 201916
17 201916
18 200716
19 201116
20 200814

About Alexei Sharpanskykh

Alexei Sharpanskykh is a scholar working on Artificial Intelligence, Management Science and Operations Research, Management Information Systems, Social Psychology and Radiological and Ultrasound Technology, having authored 133 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (30 papers), Business Process Modeling and Analysis (22 papers), Occupational Health and Safety Research (22 papers), Evacuation and Crowd Dynamics (20 papers), Human-Automation Interaction and Safety (18 papers), Complex Systems and Decision Making (17 papers), Service-Oriented Architecture and Web Services (16 papers) and Risk and Safety Analysis (15 papers). The work is most often cited by research in Management Information Systems (255 citations), Radiological and Ultrasound Technology (115 citations), Statistics, Probability and Uncertainty (117 citations), Management Science and Operations Research (175 citations) and Transportation (77 citations). Alexei Sharpanskykh has collaborated with scholars based in Netherlands, United Kingdom and Türkiye. Frequent co-authors include Jan Treur, Viara Popova, Catholijn M. Jonker, Tibor Bosse, Lourens van der Meij, Sybert Stroeve, Richard Curran, Kashif Zia, H.A.P. Blom and Pınar Yolum. Their work appears in journals such as Applied Intelligence, Lecture notes in computer science, Journal of Air Transport Management, Computational and Mathematical Organization Theory and Reliability Engineering & System Safety.

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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