Kurosh Madani
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Developmental Biology top 5%
- Control and Systems Engineering
- Co-authors
- Yu SuJingyu WangKe ZhangCristiano RussoAntonio M. RinaldiDaming ZhouChristophe SabourinOleg Gusikhin
- Topics
- Neural Networks and Applications (28 papers)Fault Detection and Control Systems (12 papers)Fuzzy Logic and Control Systems (11 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Kurosh Madani
57 papers receiving 405 citations
Peers
Comparison fields: 5 of 91
- Signal Processing 177
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 106
- Developmental Biology 72
- Control and Systems Engineering 58
Countries citing papers authored by Kurosh Madani
This map shows the geographic impact of Kurosh Madani'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 Kurosh Madani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurosh Madani more than expected).
Fields of papers citing papers by Kurosh Madani
This network shows the impact of papers produced by Kurosh Madani. 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 Kurosh Madani. The network helps show where Kurosh Madani may publish in the future.
Co-authorship network of co-authors of Kurosh Madani
This figure shows the co-authorship network connecting the top 25 collaborators of Kurosh Madani. A scholar is included among the top collaborators of Kurosh Madani 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 Kurosh Madani. Kurosh Madani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 145 | |
| 7 | 3 | |
| 8 | 62 | |
| 9 | PROBABILISTIC AND BOTTLENECK TANDEM FEATURES FOR EMOTION RECOGNITION FROM VIDEOS | 1 |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | Design of Footstep Planning Controller for Humanoid Robot in Dynamic Environment | 1 |
| 16 | 9 | |
| 17 | Self-organizing multi-model based identification: application to nonlinear dynamic systems' behavior prediction | 2 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Kurosh Madani
Kurosh Madani is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 434 indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Fault Detection and Control Systems (12 papers) and Fuzzy Logic and Control Systems (11 papers). The work is most often cited by research in Developmental Biology (72 citations), Signal Processing (177 citations) and Computer Vision and Pattern Recognition (106 citations). Kurosh Madani has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Yu Su, Jingyu Wang, Ke Zhang, Cristiano Russo, Antonio M. Rinaldi, Daming Zhou, Christophe Sabourin, Oleg Gusikhin, Jean-Louis Ferrier and Jurek Z. Sąsiadek. Their work appears in journals such as Sensors, IEEE Journal of Solid-State Circuits and Neurocomputing.
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.