Árpád Csámer
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping
Papers in
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- Geochemistry and Geologic Mapping 20
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- Remote-Sensing Image Classification 15
- Co-authors
- Ali Shebl (23 shared papers)Timothy Kusky (1 shared paper)Sayed O. Elkhateeb (1 shared paper)Yasushi Watanabe (2 shared papers)Mohamed Abdelkader (2 shared papers)Mohamed A. Abd El‐Wahed (1 shared paper)Hosni Ghazala (1 shared paper)Sultan Awad Sultan Araffa (1 shared paper)
In The Last Decade
Árpád Csámer
25 papers receiving 519 citations
Árpád Csámer's Hit Papers
Peers
Comparison fields: 5 of 58
- Media Technology 220
- Artificial Intelligence 406
- Environmental Engineering 161
- Geophysics 137
- Radiological and Ultrasound Technology 16
Countries citing papers authored by Árpád Csámer
This map shows the geographic impact of Árpád Csámer'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 Csámer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Árpád Csámer more than expected).
Fields of papers citing papers by Árpád Csámer
This network shows the impact of papers produced by Árpád Csámer. 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 Csámer. The network helps show where Árpád Csámer may publish in the future.
Co-authors
The 16 scholars most cited alongside Árpád Csámer, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 53 | |
| 2 | 2023 | 50 | |
| 3 | 2021 | 47 | |
| 4 | 2022 | 46 | |
| 5 | 2021 | 45 | |
| 6 | 2022 | 39 | |
| 7 | 2023 | 35 | |
| 8 | 2021 | 32 | |
| 9 | 2024 | 28 | |
| 10 | 2022 | 23 | |
| 11 | Comparative assessment of machine learning models for landslide susceptibility mapping: a focus on validation and accuracy Hit paper breakdown → | 2025 | 21 |
| 12 | 2021 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2024 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2024 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2025 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 3 |
About Árpád Csámer
Árpád Csámer is a scholar working on Artificial Intelligence, Media Technology, Environmental Engineering, Global and Planetary Change and Mechanics of Materials, having authored 30 papers that have together received 527 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (20 papers), Remote-Sensing Image Classification (15 papers), Soil Geostatistics and Mapping (8 papers), Mineral Processing and Grinding (4 papers), Flood Risk Assessment and Management (4 papers), Groundwater and Watershed Analysis (4 papers), Hydrocarbon exploration and reservoir analysis (4 papers) and Landslides and related hazards (4 papers). The work is most often cited by research in Media Technology (220 citations), Artificial Intelligence (406 citations), Environmental Engineering (161 citations), Geophysics (137 citations) and Radiological and Ultrasound Technology (16 citations). Árpád Csámer has collaborated with scholars based in Hungary, Egypt and Sudan. Frequent co-authors include Ali Shebl, Timothy Kusky, Sayed O. Elkhateeb, Yasushi Watanabe, Mohamed Abdelkader, Mohamed A. Abd El‐Wahed, Hosni Ghazala, Sultan Awad Sultan Araffa, Mahmoud M. El-Rahmany and P. Rózsa. Their work appears in journals such as Remote Sensing Applications Society and Environment, The Egyptian Journal of Remote Sensing and Space Science, Scientific Reports, Ore Geology Reviews and IEEE Transactions on Geoscience and Remote Sensing.
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.