Richard M. Dansereau
- Signal Processing top 2%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Mohammad Hadi RadfarRafik GoubranMohamed M. FouadWitold KinsnerAdrian D. C. ChanDavid LoAnthony WhiteheadAli Miri
- Topics
- Speech and Audio Processing (34 papers)Blind Source Separation Techniques (23 papers)Advanced Adaptive Filtering Techniques (21 papers)
In The Last Decade
Richard M. Dansereau
76 papers receiving 503 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 305
- Computational Mechanics 149
- Artificial Intelligence 133
- Computer Vision and Pattern Recognition 118
- Electrical and Electronic Engineering 62
Countries citing papers authored by Richard M. Dansereau
This map shows the geographic impact of Richard M. Dansereau'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 Richard M. Dansereau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Dansereau more than expected).
Fields of papers citing papers by Richard M. Dansereau
This network shows the impact of papers produced by Richard M. Dansereau. 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 Richard M. Dansereau. The network helps show where Richard M. Dansereau may publish in the future.
Co-authorship network of co-authors of Richard M. Dansereau
This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Dansereau. A scholar is included among the top collaborators of Richard M. Dansereau 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 Richard M. Dansereau. Richard M. Dansereau 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 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 69 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 31 | |
| 20 | 3 |
About Richard M. Dansereau
Richard M. Dansereau is a scholar working on Signal Processing, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 545 indexed citations. Recurring topics across this work include Speech and Audio Processing (34 papers), Blind Source Separation Techniques (23 papers) and Advanced Adaptive Filtering Techniques (21 papers). The work is most often cited by research in Signal Processing (305 citations), Computational Mechanics (149 citations) and Computer Vision and Pattern Recognition (118 citations). Richard M. Dansereau has collaborated with scholars based in Canada, Iran and Egypt. Frequent co-authors include Mohammad Hadi Radfar, Rafik Goubran, Mohamed M. Fouad, Witold Kinsner, Adrian D. C. Chan, David Lo, Anthony Whitehead, Ali Miri, Bhashyam Balaji and Sreeraman Rajan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal 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.