John Psarras

21 papers receiving 335 citations

Peers

John Psarras
Comparison fields: 5 of 66
  • Management Science and Operations Research 87
  • Management Information Systems 62
  • Communication 37
  • Industrial and Manufacturing Engineering 51
  • Information Systems and Management 34
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Kang Xie China
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Countries citing papers authored by John Psarras

Since Specialization
Citations

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

Fields of papers citing papers by John Psarras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside John Psarras, 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 John Psarras Line = papers co-authored together John Psarras links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 200261
3 200450
4 200638
5 200528
6 200228
7 200327
8 200410
9 20099
10 20098
11 20146
12 20115
13 20155
14
Leveraging Hyperledger Iroha for the Issuance and Verification of Higher-Education Certificates
20204
15 20074
16 20074
17
Towards an Interoperability Science: Cultivating the scientific foundations for Enterprise Interoperability
20114
18 20092
19 20202
20 20241

About John Psarras

John Psarras is a scholar working on Political Science and International Relations, Management Information Systems, Management Science and Operations Research, Control and Systems Engineering and Information Systems, having authored 21 papers that have together received 363 indexed citations. Recurring topics across this work include E-Government and Public Services (3 papers), Scheduling and Optimization Algorithms (2 papers), Optimization and Mathematical Programming (2 papers), Capital Investment and Risk Analysis (2 papers), Smart Cities and Technologies (2 papers), Multi-Criteria Decision Making (2 papers), Information Technology Governance and Strategy (2 papers) and Risk and Portfolio Optimization (2 papers). The work is most often cited by research in Management Science and Operations Research (87 citations), Management Information Systems (62 citations), Communication (37 citations), Industrial and Manufacturing Engineering (51 citations) and Information Systems and Management (34 citations). John Psarras has collaborated with scholars based in Greece and United Kingdom. Frequent co-authors include Kostas Metaxiotis, Dimitris Askounis, Panos Xidonas, George Mavrotas, Constantin Zopounidis, Kostas Ergazakis, Fenareti Lampathaki, Yannis Charalabidis, Eleftherios Siskos and Haris Doukas. Their work appears in journals such as Electronic Government an International Journal, Industrial Management & Data Systems, Journal of Knowledge Management, Journal of Intelligent Manufacturing and Journal of Optimization Theory and Applications.

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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