Jonathon M. Smereka
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Artificial Intelligence
- Genetics
- Co-authors
- B. V. K. Vijaya KumarVishnu Naresh BoddetiSaravanan VenkatachalamAmin GhadamiBogdan I. EpureanuAlparslan Emrah BayrakAndrés RodríguezRaghavender Jillela
- Topics
- Biometric Identification and Security (8 papers)Face recognition and analysis (5 papers)Reinforcement Learning in Robotics (5 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaSAE technical papers on CD-ROM/SAE technical paper seriesIEEE Transactions on Information Forensics and Security
- Partner nations
- United StatesChina
In The Last Decade
Jonathon M. Smereka
28 papers receiving 208 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 122
- Computer Vision and Pattern Recognition 120
- Information Systems 31
- Artificial Intelligence 30
- Genetics 24
Countries citing papers authored by Jonathon M. Smereka
This map shows the geographic impact of Jonathon M. Smereka'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 Jonathon M. Smereka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathon M. Smereka more than expected).
Fields of papers citing papers by Jonathon M. Smereka
This network shows the impact of papers produced by Jonathon M. Smereka. 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 Jonathon M. Smereka. The network helps show where Jonathon M. Smereka may publish in the future.
Co-authorship network of co-authors of Jonathon M. Smereka
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathon M. Smereka. A scholar is included among the top collaborators of Jonathon M. Smereka 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 Jonathon M. Smereka. Jonathon M. Smereka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 15 | |
| 20 | 28 |
About Jonathon M. Smereka
Jonathon M. Smereka is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 34 papers that have together received 219 indexed citations. Recurring topics across this work include Biometric Identification and Security (8 papers), Face recognition and analysis (5 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Signal Processing (122 citations), Computer Vision and Pattern Recognition (120 citations) and Industrial and Manufacturing Engineering (14 citations). Jonathon M. Smereka has collaborated with scholars based in United States and China. Frequent co-authors include B. V. K. Vijaya Kumar, Vishnu Naresh Boddeti, Saravanan Venkatachalam, Amin Ghadami, Bogdan I. Epureanu, Alparslan Emrah Bayrak, Andrés Rodríguez, Raghavender Jillela, Ryan Barnard and Robert J. Plemmons. Their work appears in journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Transactions on Information Forensics and Security.
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.