Iryna Susha

23 papers receiving 707 citations

Peers

Iryna Susha
Comparison fields: 5 of 67
  • Political Science and International Relations 493
  • Communication 131
  • Public Administration 64
  • Information Systems and Management 110
  • Management Information Systems 136
Replace Tung-Mou Yang with:
Tung-Mou Yang Taiwan
Meghan Cook United States
Maxat Kassen Kazakhstan
Maria A. Wimmer Germany
Erna Ruijer Netherlands
Ralf Klischewski Egypt
Martin Lněnička Czechia
Tony Elliman United Kingdom
Tijs van den Broek Netherlands
Stuti Saxena India
Iryna Susha relative to Tung-Mou Yang Taiwan Tung-Mou Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iryna Susha

Since Specialization
Citations

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

Fields of papers citing papers by Iryna Susha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012110
2 201576
3 201474
4 201768
5 201564
6 201540
7 201839
8 201431
9 201731
10 202131
11 201826
12
Open data disclosure and use : critical factors from a case study
201525
13 202324
14 201920
15 201919
16 201818
17 202216
18 201513
19 20199
20
Participation in open government
20156

About Iryna Susha

Iryna Susha is a scholar working on Political Science and International Relations, Management Science and Operations Research, Management Information Systems, Artificial Intelligence and Public Administration, having authored 24 papers that have together received 746 indexed citations. Recurring topics across this work include E-Government and Public Services (21 papers), Data Quality and Management (10 papers), FinTech, Crowdfunding, Digital Finance (6 papers), Public Policy and Administration Research (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Information Systems Theories and Implementation (3 papers), Big Data and Business Intelligence (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Political Science and International Relations (493 citations), Communication (131 citations), Public Administration (64 citations), Information Systems and Management (110 citations) and Management Information Systems (136 citations). Iryna Susha has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include Åke Grönlund, Marijn Janssen, Anneke Zuiderwijk, Stefaan Verhulst, J. Ramón Gil-García, Marc van den Homberg, Rob van Tulder, Ali Pirannejad, Peter Parycek and Yannis Charalabidis. Their work appears in journals such as Government Information Quarterly, Information Polity, Transforming Government People Process and Policy, Journal of the Association for Information Systems and International Journal of Electronic Government Research.

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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