Mathias M. Adankon
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Surgery
- Co-authors
- Mohamed CherietAlain BiemFarida ChérietHubert LabelleJean DansereauRobert WisnovskyReza Farrahi MoghaddamLama Séoud
- Topics
- Neural Networks and Applications (12 papers)Face and Expression Recognition (12 papers)Scoliosis diagnosis and treatment (4 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringPattern RecognitionNeural Computing and Applications
- Partner nations
- CanadaUnited States
In The Last Decade
Mathias M. Adankon
17 papers receiving 392 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 201
- Computer Vision and Pattern Recognition 170
- Control and Systems Engineering 65
- Biomedical Engineering 48
- Surgery 33
Countries citing papers authored by Mathias M. Adankon
This map shows the geographic impact of Mathias M. Adankon'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 Mathias M. Adankon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias M. Adankon more than expected).
Fields of papers citing papers by Mathias M. Adankon
This network shows the impact of papers produced by Mathias M. Adankon. 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 Mathias M. Adankon. The network helps show where Mathias M. Adankon may publish in the future.
Co-authorship network of co-authors of Mathias M. Adankon
This figure shows the co-authorship network connecting the top 25 collaborators of Mathias M. Adankon. A scholar is included among the top collaborators of Mathias M. Adankon 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 Mathias M. Adankon. Mathias M. Adankon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 38 | |
| 7 | HELP-TRAINING FOR SEMISUPERVISED SUPPORT VECTOR MACHINES | 0 |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 29 | |
| 11 | 28 | |
| 12 | 29 | |
| 13 | 3 | |
| 14 | 151 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 32 |
About Mathias M. Adankon
Mathias M. Adankon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 19 papers that have together received 418 indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Face and Expression Recognition (12 papers) and Scoliosis diagnosis and treatment (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (170 citations), Artificial Intelligence (201 citations) and Health Informatics (6 citations). Mathias M. Adankon has collaborated with scholars based in Canada and United States. Frequent co-authors include Mohamed Cheriet, Alain Biem, Farida Chériet, Hubert Labelle, Jean Dansereau, Robert Wisnovsky, Reza Farrahi Moghaddam, Lama Séoud, J. Dansereau and Stefan Parent. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition and Neural Computing and Applications.
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.