Dimitris Askounis

166 papers receiving 2.5k citations

Peers

Dimitris Askounis
Comparison fields: 5 of 134
  • Management Science and Operations Research 620
  • General Energy 44
  • Management Information Systems 290
  • Information Systems 461
  • Management of Technology and Innovation 140
Replace Yuan Zhou with:
Yuan Zhou China
Amir Albadvi Iran
Christof Weinhardt Germany
Ying Kei Tse United Kingdom
Malcolm J. Beynon United Kingdom
Frances Brazier Netherlands
Paulien Herder Netherlands
Gilbert Fridgen Germany
Raghu Raman India
Metin Dağdeviren Türkiye
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Countries citing papers authored by Dimitris Askounis

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Askounis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009267
2 2003209
3 2004128
4 2010124
5 202171
6 201466
7 200263
8 202159
9 202056
10 200853
11 202250
12 202348
13 202146
14 202245
15 200844
16 201042
17 200540
18 200639
19 202339
20
A TAM Framework to Evaluate Usersâ Perception towards OnlineElectronic Payments
200736

About Dimitris Askounis

Dimitris Askounis is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Political Science and International Relations and Electrical and Electronic Engineering, having authored 175 papers that have together received 2.7k indexed citations. Recurring topics across this work include E-Government and Public Services (28 papers), Business Process Modeling and Analysis (19 papers), Information Technology Governance and Strategy (18 papers), Service-Oriented Architecture and Web Services (18 papers), Semantic Web and Ontologies (14 papers), Information and Cyber Security (11 papers), Network Security and Intrusion Detection (11 papers) and Energy Load and Power Forecasting (10 papers). The work is most often cited by research in Management Science and Operations Research (620 citations), General Energy (44 citations), Management Information Systems (290 citations), Information Systems (461 citations) and Management of Technology and Innovation (140 citations). Dimitris Askounis has collaborated with scholars based in Greece, United Kingdom and Germany. Frequent co-authors include John Psarras, Spiros Mouzakitis, Loukas Ilias, Kostas Metaxiotis, Argyris G. Kagiannas, Anna Georgiadou, Yannis Charalabidis, Kostas Ergazakis, John Psarras and Fenareti Lampathaki. Their work appears in journals such as Expert Systems with Applications, Journal of the Association for Information Systems, Renewable Energy, Energy Conversion and Management and Mitigation and Adaptation Strategies for Global Change.

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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