Michael A. Robert

704 citations
30 papers · 460 · h-index 13

Impact in

Papers in

Michael A. Robert

27 papers receiving 449 citations

Peers

Michael A. Robert
Comparison fields: 5 of 52
  • Public Health, Environmental and Occupational Health 353
  • Insect Science 155
  • Modeling and Simulation 54
  • Infectious Diseases 136
  • Ecological Modeling 6
Replace Felipe Dzul-Manzanilla with:
Felipe Dzul-Manzanilla Mexico
Jeffrey D. Stancil United States
Augusto Carvajal United States
Chitti Chansang Thailand
Zetian Lai China
Chris Fredregill United States
Sharron Long Australia
Chilinh Nguyen United States
PDNN Sirisena Sri Lanka
Branka B. Lothrop United States
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Citations per field
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Felipe Dzul-Manzanilla · 1×
Citations per year

Countries citing papers authored by Michael A. Robert

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Robert. 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 Michael A. Robert. The network helps show where Michael A. Robert may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael A. Robert, 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 Michael A. Robert Line = papers co-authored together Michael A. Robert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202079
2 201367
3 201944
4 201931
5 201328
6 201627
7 201322
8 202018
9 202317
10 202117
11 201416
12 202014
13 202113
14 201612
15 201411
16 201210
17 20238
18 20234
19 20204
20 20194

About Michael A. Robert

Michael A. Robert is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Insect Science, Modeling and Simulation and Sociology and Political Science, having authored 30 papers that have together received 460 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (23 papers), Viral Infections and Vectors (12 papers), Malaria Research and Control (9 papers), Insect symbiosis and bacterial influences (7 papers), COVID-19 epidemiological studies (5 papers), Dengue and Mosquito Control Research (4 papers), Neurobiology and Insect Physiology Research (2 papers) and Insect behavior and control techniques (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (353 citations), Insect Science (155 citations), Modeling and Simulation (54 citations), Infectious Diseases (136 citations) and Ecological Modeling (6 citations). Michael A. Robert has collaborated with scholars based in United States, Argentina and Uruguay. Frequent co-authors include Elizabet L. Estallo, Anna M. Stewart‐Ibarra, Alun L. Lloyd, Fred Gould, Rebecca C. Christofferson, Helen J. Wearing, Kenichi W. Okamoto, Francisco Ludueña-Almeida, Janine M. Ramsey and Luca Facchinelli. Their work appears in journals such as PLoS ONE, Scientific Data, The Lancet Regional Health - Americas, Bulletin of Mathematical Biology and PLoS neglected tropical 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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