J. R. Smith
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 2%
- Nuclear and High Energy Physics top 5%
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Co-authors
- Rakesh MohanShih‐Fu ChangShih-Fu ChangMilind NaphadeB.L. TsengChing‐Yung LinApostol NatsevChung‐Sheng Li
- Topics
- Video Analysis and Summarization (43 papers)Advanced Image and Video Retrieval Techniques (43 papers)Image Retrieval and Classification Techniques (32 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
J. R. Smith
115 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 419
- Nuclear and High Energy Physics 368
- Artificial Intelligence 341
- Sociology and Political Science 335
Countries citing papers authored by J. R. Smith
This map shows the geographic impact of J. R. 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 J. R. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Smith more than expected).
Fields of papers citing papers by J. R. Smith
This network shows the impact of papers produced by J. R. 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 J. R. Smith. The network helps show where J. R. Smith may publish in the future.
Co-authorship network of co-authors of J. R. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Smith. A scholar is included among the top collaborators of J. R. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. R. Smith. J. R. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 35 | |
| 3 | 3 | |
| 4 | 46 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 56 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 111 | |
| 12 | 1 | |
| 13 | 95 | |
| 14 | 2 | |
| 15 | Transferring heat tolerance and indeterminancy from indeterminate Jamaica Red (PI 163122) to kidney bean | 4 |
| 16 | 223 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 10 |
About J. R. Smith
J. R. Smith is a scholar working on Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Signal Processing, having authored 118 papers that have together received 2.8k indexed citations. Recurring topics across this work include Video Analysis and Summarization (43 papers), Advanced Image and Video Retrieval Techniques (43 papers) and Image Retrieval and Classification Techniques (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (419 citations) and Nuclear and High Energy Physics (368 citations). J. R. Smith has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Rakesh Mohan, Shih‐Fu Chang, Shih-Fu Chang, Shih-Fu Chang, Milind Naphade, B.L. Tseng, Ching‐Yung Lin, Apostol Natsev, Chung‐Sheng Li and Philippe Salembier. Their work appears in journals such as Nature, Physical Review Letters and Nuclear Physics B.
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.