Gergő Pintér
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Transportation top 10%
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
Papers in
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- Human Mobility and Location-Based Analysis 10
- Urban Transport and Accessibility 3
- Transportation Planning and Optimization 3
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- Opportunistic and Delay-Tolerant Networks 3
- Co-authors
- Amir Mosavi (6 shared papers)Imre Felde (11 shared papers)Pedram Ghamisi (1 shared paper)Richard Gloaguen (1 shared paper)Saeed Nosratabadi (1 shared paper)Farshid Aram (1 shared paper)László Nádai (5 shared papers)Javad Hassannataj Joloudari (1 shared paper)
In The Last Decade
Gergő Pintér
20 papers receiving 350 citations
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 90
- Transportation 53
- Health Information Management 29
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 111
Countries citing papers authored by Gergő Pintér
This map shows the geographic impact of Gergő Pintér'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 Gergő Pintér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergő Pintér more than expected).
Fields of papers citing papers by Gergő Pintér
This network shows the impact of papers produced by Gergő Pintér. 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 Gergő Pintér. The network helps show where Gergő Pintér may publish in the future.
Co-authors
The 19 scholars most cited alongside Gergő Pintér, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 172 | |
| 2 | 2020 | 52 | |
| 3 | 2020 | 44 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2023 | 9 | |
| 7 | 2006 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2004 | 1 | |
| 20 | 2004 | 1 |
About Gergő Pintér
Gergő Pintér is a scholar working on Transportation, Computer Networks and Communications, Artificial Intelligence, Global and Planetary Change and Automotive Engineering, having authored 23 papers that have together received 371 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (10 papers), Urban Transport and Accessibility (3 papers), Transportation Planning and Optimization (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Impact of Light on Environment and Health (3 papers), Topological Materials and Phenomena (2 papers), Real-Time Systems Scheduling (2 papers) and Agricultural Engineering and Mechanization (1 paper). The work is most often cited by research in Modeling and Simulation (90 citations), Transportation (53 citations), Health Information Management (29 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (111 citations). Gergő Pintér has collaborated with scholars based in Hungary, Slovakia and Iran. Frequent co-authors include Amir Mosavi, Imre Felde, Pedram Ghamisi, Richard Gloaguen, Saeed Nosratabadi, Farshid Aram, László Nádai, Javad Hassannataj Joloudari, István Majzik and Tarahom Mesri Gundoshmian. Their work appears in journals such as Physical review. B., Sustainability, EPJ Data Science, ISPRS International Journal of Geo-Information and International Journal of Environmental Research and Public Health.
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.