Yaya Diémé

814 citations
20 papers · 578 indexed · h-index 13

Yaya Diémé

18 papers receiving 576 citations

Peers

Yaya Diémé
Comparison fields: 5 of 56
  • Parasitology 119
  • Public Health, Environmental and Occupational Health 469
  • Computational Theory and Mathematics 174
  • Pharmacology 72
  • Clinical Biochemistry 50
Replace Sandie Ménard with:
Sandie Ménard France
Jessica T. Lin United States
Sabina Dahlström Sweden
Michele D. Hastings United States
Bina Srivastava India
Kanokon Suwannasin United Kingdom
Awa B. Dème Senegal
D. F. Clyde United States
Linda Eva Amoah Ghana
Kefas Mugittu Tanzania
Yaya Diémé relative to Sandie Ménard France Sandie Ménard's profile →
Citations per field
00.5×2.6×
Sandie Ménard · 1×
Citations per year

Countries citing papers authored by Yaya Diémé

Since Specialization
Citations

This map shows the geographic impact of Yaya Diémé'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 Yaya Diémé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaya Diémé more than expected).

Fields of papers citing papers by Yaya Diémé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaya Diémé. 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 Yaya Diémé. The network helps show where Yaya Diémé may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yaya Diémé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yaya Diémé Line = papers co-authored together Yaya Diémé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201710
2 201615
3 201614
4 20166
5 201541
6 201551
7 201547
8 201519
9 20150
10 201465
11 201470
12 201412
13 201322
14 20136
15 2013106
16
PREVISION DES CRUES DANS LE BASSIN AMONT DU FLEUVE SENEGAL A L?AIDE DE PROCEDURES ADAPTATIVES./ADAPTIVE METHODS FOR SENEGAL RIVER HEADBASIN FLOOD FORECASTING
20121
17 201239
18 20127
19 201140
20 20097

About Yaya Diémé

Yaya Diémé is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 20 papers that have together received 578 indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), Computational Drug Discovery Methods (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), HIV/AIDS drug development and treatment (4 papers), Mosquito-borne diseases and control (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Flood Risk Assessment and Management (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Parasitology (119 citations), Public Health, Environmental and Occupational Health (469 citations) and Computational Theory and Mathematics (174 citations). Yaya Diémé has collaborated with scholars based in Senegal, France and Cambodia. Frequent co-authors include Boubacar Wade, Bécaye Fall, Bruno Pradines, Bakary Diatta, Mansour Fall, Cheikhou Camara, Raymond Bercion, Khadidiatou Ba Fall, Aminata Nakoulima and P S Mbaye. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Emerging infectious diseases.

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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