Moustapha Cissé

7.4k total citations
43 papers, 443 citations indexed

About

Moustapha Cissé is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Moustapha Cissé has authored 43 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Moustapha Cissé's work include Malaria Research and Control (8 papers), Mosquito-borne diseases and control (5 papers) and Global Maternal and Child Health (3 papers). Moustapha Cissé is often cited by papers focused on Malaria Research and Control (8 papers), Mosquito-borne diseases and control (5 papers) and Global Maternal and Child Health (3 papers). Moustapha Cissé collaborates with scholars based in United States, Israel and United Kingdom. Moustapha Cissé's co-authors include Yossi Adi, Natalia Neverova, Joseph Keshet, Gabriel Brostow, Shai Avidan, Tal Hassner, Giovanni Maria Farinella, Julie Thwing, Médoune Ndiop and Hervé Jeǵou and has published in prestigious journals such as International Journal of Environmental Research and Public Health, American Journal of Tropical Medicine and Hygiene and Machine Learning.

In The Last Decade

Moustapha Cissé

34 papers receiving 421 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moustapha Cissé United States 12 164 133 116 62 35 43 443
Naeem Ullah Pakistan 17 205 1.3× 20 0.2× 207 1.8× 22 0.4× 12 0.3× 68 885
Thomas Roos Germany 12 27 0.2× 107 0.8× 80 0.7× 37 0.6× 106 3.0× 27 513
Youssoufa Mohamadou Cameroon 9 92 0.6× 22 0.2× 40 0.3× 5 0.1× 16 0.5× 18 459
Xuelei Hu China 11 240 1.5× 27 0.2× 55 0.5× 5 0.1× 30 0.9× 40 425
Usman Muhammad Finland 10 76 0.5× 16 0.1× 124 1.1× 6 0.1× 48 1.4× 26 296
Liang Xiao China 9 63 0.4× 140 1.1× 29 0.3× 4 0.1× 17 0.5× 45 574
Alhanoof Althnian Saudi Arabia 5 81 0.5× 7 0.1× 52 0.4× 19 0.3× 15 0.4× 12 329
Anitha Venugopal India 12 95 0.6× 61 0.5× 147 1.3× 5 0.1× 4 0.1× 73 564
Marco Di Marzio Italy 11 171 1.0× 29 0.2× 25 0.2× 19 0.3× 8 0.2× 33 370
Denan Lin China 12 211 1.3× 25 0.2× 40 0.3× 4 0.1× 9 0.3× 19 534

Countries citing papers authored by Moustapha Cissé

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 5 indexed citations
2.
Cissé, Moustapha, et al.. (2022). Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution. JMIR Medical Informatics. 10(6). e34554–e34554. 15 indexed citations
3.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science.
4.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science.
5.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 4 indexed citations
6.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 10 indexed citations
7.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 7 indexed citations
8.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 7 indexed citations
9.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 1 indexed citations
10.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science.
11.
Avidan, Shai, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, & Tal Hassner. (2022). Computer Vision – ECCV 2022. Lecture notes in computer science. 1 indexed citations
12.
Ndiaye, Jean Louis, Mame Birame Diouf, Annē Linn, et al.. (2020). Proactive community case management in Senegal 2014–2016: a case study in maximizing the impact of community case management of malaria. Malaria Journal. 19(1). 166–166. 20 indexed citations
13.
Grave, Édouard, Armand Joulin, Moustapha Cissé, & Hervé Jeǵou. (2017). Efficient softmax approximation for GPUs. International Conference on Machine Learning. 1302–1310. 37 indexed citations
14.
Thwing, Julie, Mame Birame Diouf, Médoune Ndiop, et al.. (2017). Assessment of the utility of a symptom-based algorithm for identifying febrile patients for malaria diagnostic testing in Senegal. Malaria Journal. 16(1). 95–95. 9 indexed citations
15.
Cissé, Moustapha, Yossi Adi, Natalia Neverova, & Joseph Keshet. (2017). Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. Neural Information Processing Systems. 30. 6977–6987. 70 indexed citations
16.
Thwing, Julie, Erin Eckert, Roger Tine, et al.. (2017). Declines in Malaria Burden and All-Cause Child Mortality following Increases in Control Interventions in Senegal, 2005–2010. American Journal of Tropical Medicine and Hygiene. 97(3_Suppl). 89–98. 20 indexed citations
17.
Cissé, Moustapha, Maruan Al-Shedivat, & Samy Bengio. (2016). ADIOS: architectures deep in output space. International Conference on Machine Learning. 2770–2779. 14 indexed citations
18.
Diouf, Ibrahima, Abdoulaye Dème, Jacques‐André Ndione, et al.. (2013). Climate and health: Observation and modeling of malaria in the Ferlo (Senegal). Comptes Rendus Biologies. 336(5-6). 253–260. 11 indexed citations
19.
Thiam, Sylla, Julie Thwing, Ibrahima Diallo, et al.. (2012). Scale-up of home-based management of malaria based on rapid diagnostic tests and artemisinin-based combination therapy in a resource-poor country: results in Senegal. Malaria Journal. 11(1). 334–334. 47 indexed citations
20.
Bengio, Yoshua, Frédéric Bastien, Arnaud Bergeron, et al.. (2011). Deep Learners Benefit More from Out-of-Distribution Examples. 164–172. 52 indexed citations

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.

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