Péter Sasvári
Impact in
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- Hungarian Social, Economic and Educational Studies
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- Technology Adoption and User Behaviour
Papers in
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- Hungarian Social, Economic and Educational Studies 39
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- scientometrics and bibliometrics research 16
- Co-authors
- Andrea Lukács (10 shared papers)László Barkai (3 shared papers)Gyula Bakacsi (5 shared papers)Imre Dobos (10 shared papers)Joël Ladner (3 shared papers)Gábor Michalkó (2 shared papers)Małgorzata Wasilewska (2 shared papers)Marie‐Pierre Tavolacci (2 shared papers)
In The Last Decade
Péter Sasvári
63 papers receiving 315 citations
Peers
Comparison fields: 5 of 79
- Geography, Planning and Development 51
- Information Systems and Management 26
- Developmental and Educational Psychology 45
- Statistics, Probability and Uncertainty 25
- Computer Science Applications 18
Countries citing papers authored by Péter Sasvári
This map shows the geographic impact of Péter Sasvári'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 Péter Sasvári with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Sasvári more than expected).
Fields of papers citing papers by Péter Sasvári
This network shows the impact of papers produced by Péter Sasvári. 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 Péter Sasvári. The network helps show where Péter Sasvári may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Sasvári, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 44 | |
| 2 | 2019 | 38 | |
| 3 | 2016 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2016 | 18 | |
| 6 | 2020 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2015 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2012 | 3 |
About Péter Sasvári
Péter Sasvári is a scholar working on Geography, Planning and Development, Statistics, Probability and Uncertainty, Political Science and International Relations, Information Systems and Management and General Social Sciences, having authored 85 papers that have together received 340 indexed citations. Recurring topics across this work include Hungarian Social, Economic and Educational Studies (39 papers), scientometrics and bibliometrics research (16 papers), Information Society and Technology Trends (3 papers), Eating Disorders and Behaviors (3 papers), Information Technology Governance and Strategy (3 papers), Big Data and Business Intelligence (3 papers), E-Government and Public Services (3 papers) and Academic integrity and plagiarism (2 papers). The work is most often cited by research in Geography, Planning and Development (51 citations), Information Systems and Management (26 citations), Developmental and Educational Psychology (45 citations), Statistics, Probability and Uncertainty (25 citations) and Computer Science Applications (18 citations). Péter Sasvári has collaborated with scholars based in Hungary, France and Slovakia. Frequent co-authors include Andrea Lukács, László Barkai, Gyula Bakacsi, Imre Dobos, Joël Ladner, Gábor Michalkó, Małgorzata Wasilewska, Marie‐Pierre Tavolacci, József Poór and Massimo Ciambotti. Their work appears in journals such as European Journal of Public Health, Heliyon, Journal of Informetrics, Government Information Quarterly and Energies.
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.