Gábor Pap
Impact in
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- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Security in Wireless Sensor Networks
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
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- Energy Efficient Wireless Sensor Networks 2
- Bluetooth and Wireless Communication Technologies 2
- Distributed and Parallel Computing Systems 1
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- Indoor and Outdoor Localization Technologies 2
- Co-authors
- János Sallai (2 shared papers)György Tibor Balogh (2 shared papers)Miklós Maróti (2 shared papers)Gyula Simon (2 shared papers)András Nádas (2 shared papers)Ákos Lédeczi (2 shared papers)Branislav Kusý (2 shared papers)Károly Molnár (1 shared paper)
- Journals
- ACM Transactions on Sensor Networks (1 paper)International Journal of Molecular Medicine (1 paper)ePrints Soton (University of Southampton) (1 paper)
- Partner nations
- United StatesHungaryNetherlands
In The Last Decade
Gábor Pap
5 papers receiving 538 citations
Gábor Pap's Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 438
- Signal Processing 74
- Hardware and Architecture 35
- Electrical and Electronic Engineering 279
- Ocean Engineering 60
Countries citing papers authored by Gábor Pap
This map shows the geographic impact of Gábor Pap'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 Gábor Pap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Pap more than expected).
Fields of papers citing papers by Gábor Pap
This network shows the impact of papers produced by Gábor Pap. 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 Gábor Pap. The network helps show where Gábor Pap may publish in the future.
Co-authors
The 17 scholars most cited alongside Gábor Pap, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sensor network-based countersniper system Hit paper breakdown → | 2004 | 442 |
| 2 | 2005 | 123 | |
| 3 | VehicleFORGE: A Cloud-Based Infrastructure for Collaborative Model-Based Design | 2013 | 6 |
| 4 | 2006 | 5 | |
| 5 | 2011 | 5 |
About Gábor Pap
Gábor Pap is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 5 papers that have together received 581 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (2 papers), Model-Driven Software Engineering Techniques (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Bluetooth and Wireless Communication Technologies (2 papers), Simulation Techniques and Applications (1 paper), Distributed and Parallel Computing Systems (1 paper), Formal Methods in Verification (1 paper) and Advanced Software Engineering Methodologies (1 paper). The work is most often cited by research in Computer Networks and Communications (438 citations), Signal Processing (74 citations), Hardware and Architecture (35 citations), Electrical and Electronic Engineering (279 citations) and Ocean Engineering (60 citations). Gábor Pap has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include János Sallai, György Tibor Balogh, Miklós Maróti, Gyula Simon, András Nádas, Ákos Lédeczi, Branislav Kusý, Károly Molnár, Péter Völgyesi and Corina S. Păsăreanu. Their work appears in journals such as ACM Transactions on Sensor Networks, International Journal of Molecular Medicine and ePrints Soton (University of Southampton).
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.