J. Kahn
Impact in
-
- 3D Surveying and Cultural Heritage
-
- Building Energy and Comfort Optimization
Papers in
-
- Advanced Neural Network Applications 2
- Co-authors
- Rebekka Volk (4 shared papers)Markus Götz (6 shared papers)Yu Hou (3 shared papers)Frank Schultmann (3 shared papers)Robert Pitz‐Paal (1 shared paper)Achim Streit (3 shared papers)Marc Röger (1 shared paper)Tobias Hirsch (1 shared paper)
- Journals
- Automation in Construction (1 paper)Journal Of Big Data (1 paper)Solar Energy (1 paper)Machine Learning Science and Technology (1 paper)Safety Science (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
J. Kahn
10 papers receiving 60 citations
Peers
Comparison fields: 5 of 43
- Geology 9
- Building and Construction 18
- Conservation 3
- Space and Planetary Science 1
- Media Technology 6
Countries citing papers authored by J. Kahn
This map shows the geographic impact of J. Kahn'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 J. Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kahn more than expected).
Fields of papers citing papers by J. Kahn
This network shows the impact of papers produced by J. Kahn. 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 J. Kahn. The network helps show where J. Kahn may publish in the future.
Co-authors
The 16 scholars most cited alongside J. Kahn, 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 | 2022 | 29 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 5 | |
| 5 | 2023 | 5 | |
| 6 | 2025 | 3 | |
| 7 | 2021 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2016 | 0 |
About J. Kahn
J. Kahn is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Geology, Nuclear and High Energy Physics and Media Technology, having authored 11 papers that have together received 61 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (3 papers), Particle physics theoretical and experimental studies (2 papers), Remote-Sensing Image Classification (2 papers), Advanced Neural Network Applications (2 papers), Supply Chain Resilience and Risk Management (1 paper), Archaeological Research and Protection (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Geology (9 citations), Building and Construction (18 citations), Conservation (3 citations), Space and Planetary Science (1 citation) and Media Technology (6 citations). J. Kahn has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Rebekka Volk, Markus Götz, Yu Hou, Frank Schultmann, Robert Pitz‐Paal, Achim Streit, Marc Röger, Tobias Hirsch, Charlotte Debus and I. Tsaklidis. Their work appears in journals such as Automation in Construction, Journal Of Big Data, Solar Energy, Machine Learning Science and Technology and Safety Science.
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.