Jeff Bach
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
- Geology 5
- 3D Surveying and Cultural Heritage 5
-
- Advanced Image and Video Retrieval Techniques 3
- Advanced Vision and Imaging 1
- Co-authors
- Xin Chen (3 shared papers)Bernd Girod (2 shared papers)Radek Grzeszczuk (2 shared papers)Ramakrishna Vedantham (2 shared papers)Sam S. Tsai (2 shared papers)David Meng-Chuen Chen (2 shared papers)Kimmo Roimela (1 shared paper)Marc Pollefeys (1 shared paper)
- Journals
- ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) (1 paper)Proceedings (2 papers)Proceedings - International Conference on Image Processing (1 paper)IEEE International Conference on Multimedia and Expo (ICME) (1 paper)
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Jeff Bach
8 papers receiving 559 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 387
- Geology 63
- Aerospace Engineering 115
- Ocean Engineering 55
- Automotive Engineering 28
Countries citing papers authored by Jeff Bach
This map shows the geographic impact of Jeff Bach'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 Jeff Bach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Bach more than expected).
Fields of papers citing papers by Jeff Bach
This network shows the impact of papers produced by Jeff Bach. 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 Jeff Bach. The network helps show where Jeff Bach may publish in the future.
Co-authors
The 20 scholars most cited alongside Jeff Bach, 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 | 2011 | 340 | |
| 2 | 2011 | 105 | |
| 3 | 2009 | 63 | |
| 4 | 2011 | 43 | |
| 5 | 2012 | 12 | |
| 6 | 2010 | 5 | |
| 7 | 2011 | 4 | |
| 8 | 2009 | 2 |
About Jeff Bach
Jeff Bach is a scholar working on Geology, Computer Vision and Pattern Recognition, Ocean Engineering, Automotive Engineering and Environmental Engineering, having authored 8 papers that have together received 574 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Automated Road and Building Extraction (2 papers), 3D Modeling in Geospatial Applications (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Satellite Image Processing and Photogrammetry (1 paper), Advanced Vision and Imaging (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (387 citations), Geology (63 citations), Aerospace Engineering (115 citations), Ocean Engineering (55 citations) and Automotive Engineering (28 citations). Jeff Bach has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Xin Chen, Bernd Girod, Radek Grzeszczuk, Ramakrishna Vedantham, Sam S. Tsai, David Meng-Chuen Chen, Kimmo Roimela, Marc Pollefeys, Kevin Köser and Ruisheng Wang. Their work appears in journals such as ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS), Proceedings, Proceedings - International Conference on Image Processing and IEEE International Conference on Multimedia and Expo (ICME).
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.