M.H. Hayes
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.5%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Computational Mechanics top 2%
- Co-authors
- Marvin H. J. GruberAra NefianAmol BorkarMark T. SmithAlan V. OppenheimAziz Umit BaturJae Sung LimD.S. Mazel
- Topics
- Advanced Vision and Imaging (42 papers)Advanced Data Compression Techniques (19 papers)Advanced X-ray Imaging Techniques (18 papers)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
M.H. Hayes
138 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 2.5k
- Signal Processing 1.1k
- Electrical and Electronic Engineering 727
- Artificial Intelligence 631
- Computational Mechanics 553
Countries citing papers authored by M.H. Hayes
This map shows the geographic impact of M.H. Hayes'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.H. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.H. Hayes more than expected).
Fields of papers citing papers by M.H. Hayes
This network shows the impact of papers produced by M.H. Hayes. 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.H. Hayes. The network helps show where M.H. Hayes may publish in the future.
Co-authorship network of co-authors of M.H. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of M.H. Hayes. A scholar is included among the top collaborators of M.H. Hayes 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.H. Hayes. M.H. Hayes 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 | 0 | |
| 3 | 40 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 47 | |
| 8 | 31 | |
| 9 | A Non Overlapping Camera Network : Calibration and Application Towards Lane Departure Warning | 4 |
| 10 | 177 | |
| 11 | 15 | |
| 12 | 65 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 40 | |
| 18 | Real-Time Detection of Human Faces in Uncontrolled Environments | 3 |
| 19 | Statistical Digital Signal Processing and Modelingbreakdown → | 1546 |
| 20 | 290 |
About M.H. Hayes
M.H. Hayes is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 154 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (42 papers), Advanced Data Compression Techniques (19 papers) and Advanced X-ray Imaging Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Signal Processing (1.1k citations) and Structural Biology (83 citations). M.H. Hayes has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Marvin H. J. Gruber, Ara Nefian, Amol Borkar, Mark T. Smith, Alan V. Oppenheim, Aziz Umit Batur, Jae Sung Lim, D.S. Mazel, Darnell Moore and Irfan Essa. Their work appears in journals such as Technometrics, Proceedings of the IEEE and IEEE Transactions on Image Processing.
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.