Iryna Susha

26 papers receiving 864 citations

Peers

Iryna Susha
Comparison fields: 5 of 70
  • Political Science and International Relations 605
  • Communication 154
  • Public Administration 72
  • Media Technology 160
  • Information Systems and Management 123
Replace Djoko Sigit Sayogo with:
Djoko Sigit Sayogo United States
Maxat Kassen Kazakhstan
Erna H.J.M. Ruijer Netherlands
Meghan E. Cook United States
Tung-Mou Yang Taiwan
Tijs Adriaan Van Den Broek Netherlands
Aggeliki Androutsopoulou Greece
Anne Fleur van Veenstra Netherlands
Tony Elliman United Kingdom
Keegan McBride Estonia
Iryna Susha relative to Djoko Sigit Sayogo United States Djoko Sigit Sayogo'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 23 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 201589
3 201486
4 201784
5 201576
6 201848
7 201545
8 201742
9 201441
10 202136
11 201831
12 202331
13
Open data disclosure and use : critical factors from a case study
201528
14 202223
15 201923
16 201820
17 201520
18 201920
19 20199
20 20206

About Iryna Susha

Iryna Susha is a scholar working on Political Science and International Relations, Management Science and Operations Research, Management Information Systems, Information Systems and Management and Public Administration, having authored 27 papers that have together received 916 indexed citations. Recurring topics across this work include E-Government and Public Services (22 papers), Data Quality and Management (11 papers), FinTech, Crowdfunding, Digital Finance (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Information Systems Theories and Implementation (3 papers), Public Policy and Administration Research (3 papers), ICT Impact and Policies (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Political Science and International Relations (605 citations), Communication (154 citations), Public Administration (72 citations), Media Technology (160 citations) and Information Systems and Management (123 citations). Iryna Susha has collaborated with scholars based in Sweden, Netherlands and United States. Frequent co-authors include Åke Grönlund, Marijn Janssen, Anneke Zuiderwijk, Stefaan Verhulst, J. Ramón Gil-García, Marc van den Homberg, Rob J.M. van Tulder, Ali Pirannejad, Yannis K. Charalabidis and Peter Parycek. Their work appears in journals such as Government Information Quarterly, Transforming Government People Process and Policy, Journal of the Association for Information Systems, Information Polity and Social Science Computer Review.

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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