M. Kirby
- Computer Vision and Pattern Recognition
- Nuclear and High Energy Physics
- Artificial Intelligence
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Yui Man LuiBruce A. DraperJ. Ross BeveridgeChris PetersonF. D. SniderY. OksuzianM. TrovatoT. J. Phillips
- Topics
- Face and Expression Recognition (3 papers)Distributed and Parallel Computing Systems (3 papers)Advanced Data Storage Technologies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
- Partner nations
- United StatesItalyPoland
In The Last Decade
M. Kirby
14 papers receiving 62 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 31
- Nuclear and High Energy Physics 17
- Artificial Intelligence 12
- Computer Networks and Communications 8
- Signal Processing 7
Countries citing papers authored by M. Kirby
This map shows the geographic impact of M. Kirby'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 M. Kirby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kirby more than expected).
Fields of papers citing papers by M. Kirby
This network shows the impact of papers produced by M. Kirby. 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 M. Kirby. The network helps show where M. Kirby may publish in the future.
Co-authorship network of co-authors of M. Kirby
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kirby. A scholar is included among the top collaborators of M. Kirby 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 M. Kirby. M. Kirby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 16 | |
| 14 | 10 | |
| 15 | 1 |
About M. Kirby
M. Kirby is a scholar working on Biophysics, Information Systems and Management and Signal Processing, having authored 15 papers that have together received 65 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (31 citations), Nuclear and High Energy Physics (17 citations) and Signal Processing (7 citations). M. Kirby has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Yui Man Lui, Bruce A. Draper, J. Ross Beveridge, Chris Peterson, F. D. Snider, Y. Oksuzian, M. Trovato, T. J. Phillips, J. Vizán and J. Freeman. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.