Alexei Sharpanskykh

1.5k total citations
88 papers, 736 citations indexed

About

Alexei Sharpanskykh is a scholar working on Artificial Intelligence, Management Information Systems and Radiological and Ultrasound Technology. According to data from OpenAlex, Alexei Sharpanskykh has authored 88 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 18 papers in Management Information Systems and 18 papers in Radiological and Ultrasound Technology. Recurrent topics in Alexei Sharpanskykh's work include Multi-Agent Systems and Negotiation (19 papers), Occupational Health and Safety Research (18 papers) and Business Process Modeling and Analysis (17 papers). Alexei Sharpanskykh is often cited by papers focused on Multi-Agent Systems and Negotiation (19 papers), Occupational Health and Safety Research (18 papers) and Business Process Modeling and Analysis (17 papers). Alexei Sharpanskykh collaborates with scholars based in Netherlands, United Kingdom and Canada. Alexei Sharpanskykh's co-authors include Viara Popova, Jan Treur, Catholijn M. Jonker, Sybert Stroeve, Tibor Bosse, Lourens van der Meij, Richard Curran, H.A.P. Blom, Barry Kirwan and Christophe De Wagter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Neurocomputing.

In The Last Decade

Alexei Sharpanskykh

80 papers receiving 665 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexei Sharpanskykh Netherlands 13 197 164 116 104 98 88 736
James T. Luxhøj United States 15 103 0.5× 109 0.7× 31 0.3× 142 1.4× 275 2.8× 92 852
Žiga Turk Slovenia 18 169 0.9× 124 0.8× 370 3.2× 251 2.4× 35 0.4× 101 1.4k
Andreas Gregoriades Cyprus 16 141 0.7× 63 0.4× 124 1.1× 52 0.5× 52 0.5× 59 685
Dennis M. Buede United States 15 296 1.5× 97 0.6× 128 1.1× 400 3.8× 74 0.8× 86 1.2k
Roshanak Nilchiani United States 16 71 0.4× 151 0.9× 146 1.3× 129 1.2× 150 1.5× 74 1.1k
Antonio De Nicola Italy 12 292 1.5× 110 0.7× 204 1.8× 78 0.8× 48 0.5× 49 655
Zhenyong Wu China 16 89 0.5× 107 0.7× 74 0.6× 343 3.3× 160 1.6× 35 1.1k
Dilip Patel India 19 449 2.3× 48 0.3× 111 1.0× 210 2.0× 182 1.9× 97 1.4k
Hamid R. Parsaei United States 17 47 0.2× 83 0.5× 41 0.4× 106 1.0× 38 0.4× 87 837
Wan Chul Yoon South Korea 18 137 0.7× 20 0.1× 74 0.6× 133 1.3× 226 2.3× 69 959

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-authorship network of co-authors of Alexei Sharpanskykh

This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Sharpanskykh. A scholar is included among the top collaborators of Alexei Sharpanskykh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexei Sharpanskykh. Alexei Sharpanskykh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharpanskykh, Alexei, et al.. (2025). A Multi-Agent Optimization Approach for Multimodal Collaboration in Marine Terminals. Logistics. 9(3). 110–110.
2.
Sharpanskykh, Alexei, et al.. (2025). Multi-agent task allocation and path planning for autonomous ground support equipment. Journal of Air Transport Management. 129. 102855–102855.
3.
Pascoe, John-Alan, et al.. (2025). Preliminary Safety Assessment of a Liquid Hydrogen Storage System for Commercial Aviation. Safety. 11(1). 27–27. 2 indexed citations
4.
5.
Sharpanskykh, Alexei, et al.. (2025). Modelling and Analysis of Autonomous Airport Surface Movement Operations based on Multi-Agent Planning. European journal of transport and infrastructure research. 25(1). 1–23.
6.
Sharpanskykh, Alexei, et al.. (2024). A Novel Auction-Based Truck Appointment System for Marine Terminals. SHILAP Revista de lepidopterología. 8(2). 40–40. 1 indexed citations
7.
Santos, Bruno F., et al.. (2023). Airline Network Planning Considering Climate Impact: Assessing New Operational Improvements. Applied Sciences. 13(11). 6722–6722. 7 indexed citations
8.
Sharpanskykh, Alexei, et al.. (2021). Adaptive Resilience of Complex Safety-Critical Sociotechnical Systems: Toward a Unified Conceptual Framework and Its Formalization. Sustainability. 13(24). 13915–13915. 15 indexed citations
9.
Aydoğan, Reyhan, et al.. (2021). Formal modelling and verification of a multi-agent negotiation approach for airline operations control. Journal of Reliable Intelligent Environments. 7(4). 279–298. 2 indexed citations
10.
Happee, Riender, et al.. (2020). Modelling head injury due to unmanned aircraft systems collision: Crash dummy vs human body. International Journal of Crashworthiness. 27(2). 400–413. 8 indexed citations
11.
Sharpanskykh, Alexei, et al.. (2020). Data-Driven Analysis of Airport Security Checkpoint Operations. Aerospace. 7(6). 69–69. 7 indexed citations
12.
Sharpanskykh, Alexei, et al.. (2019). AATOM: an agent-based airport terminal operations model simulator. Research Repository (Delft University of Technology). 4 indexed citations
13.
Sharpanskykh, Alexei, et al.. (2016). An agent-based model to study compliance with safety regulations at an airline ground service organization. Applied Intelligence. 45(3). 881–903. 9 indexed citations
14.
Sharpanskykh, Alexei. (2012). An agent-based approach for safety analysis of safety-critical organizations.. ISCRAM. 1 indexed citations
15.
Ferscha, Alois, Kashif Zia, Andreas Riener, & Alexei Sharpanskykh. (2011). Potential of Social Modelling in Socio-Technical Systems. Procedia Computer Science. 7. 235–237. 10 indexed citations
16.
Stroeve, Sybert, Alexei Sharpanskykh, & Barry Kirwan. (2011). Agent-based organizational modelling for analysis of safety culture at an air navigation service provider. Reliability Engineering & System Safety. 96(5). 515–533. 23 indexed citations
17.
Sharpanskykh, Alexei & Sybert Stroeve. (2010). Can we predict safety culture. Adaptive Agents and Multi-Agents Systems. 1739–1746. 1 indexed citations
18.
Sharpanskykh, Alexei & Jan Treur. (2007). Formal modeling and analysis of cognitive agent behavior. Cognitive Processing. 9(3). 189–208. 1 indexed citations
19.
Sharpanskykh, Alexei, et al.. (2007). Formal Modelling of Goals in Agent Organizations.. Data Archiving and Networked Services (DANS). 74–86. 3 indexed citations
20.
Sharpanskykh, Alexei & Jan Treur. (2006). Verifying Interlevel Relations within Multi-Agent Systems. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 290–294. 16 indexed citations

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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