Jeff Smith
Impact in
- Algebra and Number Theory top 10%
- Advanced Topics in Algebra
- Mathematical Physics top 5%
- Homotopy and Cohomology in Algebraic Topology
Papers in
-
- Digital Media Forensic Detection 3
- Advanced Steganography and Watermarking Techniques 1
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- Digital and Cyber Forensics 2
- Co-authors
- Mark Hovey (1 shared paper)Brooke Shipley (1 shared paper)Ron Dusterhoft (1 shared paper)Sanjay Vitthal (1 shared paper)J. M. McGowen (1 shared paper)Rafał Kocielnik (1 shared paper)Michael Brooks (1 shared paper)Zening Qu (1 shared paper)
- Journals
- Journal of the American Mathematical Society (1 paper)Proceedings of the ... Annual Hawaii International Conference on System Sciences (1 paper)Computer Vision and Pattern Recognition (1 paper)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Jeff Smith
7 papers receiving 212 citations
Peers
Comparison fields: 5 of 29
- Algebra and Number Theory 142
- Mathematical Physics 220
- Geometry and Topology 210
- Computational Theory and Mathematics 13
- Statistical and Nonlinear Physics 10
Countries citing papers authored by Jeff Smith
This map shows the geographic impact of Jeff Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Smith more than expected).
Fields of papers citing papers by Jeff Smith
This network shows the impact of papers produced by Jeff Smith. 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 Smith. The network helps show where Jeff Smith may publish in the future.
Co-authors
The 19 scholars most cited alongside Jeff Smith, 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 | 1999 | 222 | |
| 2 | 2000 | 13 | |
| 3 | 2019 | 10 | |
| 4 | 2017 | 6 | |
| 5 | Manipulation Data Collection and Annotation Tool for Media Forensics | 2019 | 2 |
| 6 | Large Scale Test of Digital Audio File Structure and Format for Forensic Analysis | 2017 | 2 |
| 7 | Determining Technology Priorities to Enhance Lunar Surface Science Mission Productivity | 2008 | 1 |
About Jeff Smith
Jeff Smith is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, Astronomy and Astrophysics and Mathematical Physics, having authored 7 papers that have together received 256 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (3 papers), Digital and Cyber Forensics (2 papers), Complex Network Analysis Techniques (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Space Exploration and Technology (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and Homotopy and Cohomology in Algebraic Topology (1 paper). The work is most often cited by research in Algebra and Number Theory (142 citations), Mathematical Physics (220 citations), Geometry and Topology (210 citations), Computational Theory and Mathematics (13 citations) and Statistical and Nonlinear Physics (10 citations). Jeff Smith has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Mark Hovey, Brooke Shipley, Ron Dusterhoft, Sanjay Vitthal, J. M. McGowen, Rafał Kocielnik, Michael Brooks, Zening Qu, Nan‐Chen Chen and Yooyoung Lee. Their work appears in journals such as Journal of the American Mathematical Society, Proceedings of the ... Annual Hawaii International Conference on System Sciences and Computer Vision and Pattern Recognition.
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.