Árpád Barsi
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
- Space and Planetary Science top 10%
Papers in
-
- Remote Sensing and LiDAR Applications 22
- Geology 18
- 3D Surveying and Cultural Heritage 18
- Co-authors
- Tamás Lovas (20 shared papers)Christian Heipke (3 shared papers)J Somogyi (9 shared papers)Éva Lublóy (4 shared papers)Zsuzsanna Szepessy (7 shared papers)György L. Balázs (2 shared papers)György Szabó (3 shared papers)Zoltán Zsolt Nagy (5 shared papers)
In The Last Decade
Árpád Barsi
57 papers receiving 498 citations
Peers
Comparison fields: 5 of 106
- Geology 98
- Space and Planetary Science 14
- Environmental Engineering 132
- Ophthalmology 51
- Ocean Engineering 85
Countries citing papers authored by Árpád Barsi
This map shows the geographic impact of Árpád Barsi'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 Árpád Barsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Árpád Barsi more than expected).
Fields of papers citing papers by Árpád Barsi
This network shows the impact of papers produced by Árpád Barsi. 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 Árpád Barsi. The network helps show where Árpád Barsi may publish in the future.
Co-authors
The 25 scholars most cited alongside Árpád Barsi, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2018 | 37 | |
| 3 | ARTIFICIAL NEURAL NETWORKS FOR THE DETECTION OF ROAD JUNCTIONS IN AERIAL IMAGES | 2003 | 35 |
| 4 | 2018 | 31 | |
| 5 | 2017 | 25 | |
| 6 | 2009 | 25 | |
| 7 | 2002 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2015 | 20 | |
| 10 | 2015 | 17 | |
| 11 | TERRESTRIAL LASER SCANNING - CIVIL ENGINEERING APPLICATIONS | 2010 | 14 |
| 12 | 2008 | 14 | |
| 13 | 2015 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2017 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2003 | 9 | |
| 20 | 2017 | 8 |
About Árpád Barsi
Árpád Barsi is a scholar working on Environmental Engineering, Geology, Aerospace Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 527 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (22 papers), 3D Surveying and Cultural Heritage (18 papers), Robotics and Sensor-Based Localization (9 papers), Geographic Information Systems Studies (7 papers), Autonomous Vehicle Technology and Safety (6 papers), 3D Modeling in Geospatial Applications (6 papers), Automated Road and Building Extraction (5 papers) and Image Processing and 3D Reconstruction (4 papers). The work is most often cited by research in Geology (98 citations), Space and Planetary Science (14 citations), Environmental Engineering (132 citations), Ophthalmology (51 citations) and Ocean Engineering (85 citations). Árpád Barsi has collaborated with scholars based in Hungary, Italy and China. Frequent co-authors include Tamás Lovas, Christian Heipke, J Somogyi, Éva Lublóy, Zsuzsanna Szepessy, György L. Balázs, György Szabó, Zoltán Zsolt Nagy, István László and László Dunai. Their work appears in journals such as Ocular Immunology and Inflammation, PLoS ONE, Construction and Building Materials, Natural hazards and earth system sciences and Magazine of Concrete 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.