Moustapha Cissé
- Artificial Intelligence top 10%
- Public Health, Environmental and Occupational Health
- Computer Vision and Pattern Recognition top 10%
- Pediatrics, Perinatology and Child Health
- Signal Processing
- Co-authors
- Natalia NeverovaYossi AdiJoseph KeshetGabriel BrostowTal HassnerGiovanni Maria FarinellaShai AvidanMédoune Ndiop
- Topics
- Malaria Research and Control (8 papers)Mosquito-borne diseases and control (5 papers)Global Maternal and Child Health (3 papers)
- Journals
- International Journal of Environmental Research and Public HealthAmerican Journal of Tropical Medicine and HygieneMachine Learning
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Moustapha Cissé
34 papers receiving 421 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 164
- Public Health, Environmental and Occupational Health 133
- Computer Vision and Pattern Recognition 116
- Pediatrics, Perinatology and Child Health 62
- Signal Processing 35
Countries citing papers authored by Moustapha Cissé
This map shows the geographic impact of Moustapha Cissé'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 Moustapha Cissé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moustapha Cissé more than expected).
Fields of papers citing papers by Moustapha Cissé
This network shows the impact of papers produced by Moustapha Cissé. 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 Moustapha Cissé. The network helps show where Moustapha Cissé may publish in the future.
Co-authorship network of co-authors of Moustapha Cissé
This figure shows the co-authorship network connecting the top 25 collaborators of Moustapha Cissé. A scholar is included among the top collaborators of Moustapha Cissé 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 Moustapha Cissé. Moustapha Cissé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 20 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples | 70 |
| 16 | Efficient softmax approximation for GPUs | 37 |
| 17 | ADIOS: architectures deep in output space | 14 |
| 18 | 11 | |
| 19 | 47 | |
| 20 | Deep Learners Benefit More from Out-of-Distribution Examples | 52 |
About Moustapha Cissé
Moustapha Cissé is a scholar working on Transplantation, Public Health, Environmental and Occupational Health and Ecological Modeling, having authored 43 papers that have together received 443 indexed citations. Recurring topics across this work include Malaria Research and Control (8 papers), Mosquito-borne diseases and control (5 papers) and Global Maternal and Child Health (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Health Informatics (7 citations) and Artificial Intelligence (164 citations). Moustapha Cissé has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Natalia Neverova, Yossi Adi, Joseph Keshet, Gabriel Brostow, Tal Hassner, Giovanni Maria Farinella, Shai Avidan, Médoune Ndiop, Julie Thwing and Hervé Jeǵou. Their work appears in journals such as International Journal of Environmental Research and Public Health, American Journal of Tropical Medicine and Hygiene and Machine Learning.
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.