Maya Wardeh

873 citations
30 papers · 464 · h-index 13

Impact in

Papers in

Maya Wardeh

29 papers receiving 453 citations

Peers

Maya Wardeh
Comparison fields: 5 of 86
  • Agronomy and Crop Science 111
  • Infectious Diseases 171
  • Public Health, Environmental and Occupational Health 187
  • Parasitology 34
  • Modeling and Simulation 22
Replace Alexios Giannakopoulos with:
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Kelly Patyk United States
F. Moutou France
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Alex D. Washburne United States
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Juliette R. Ongus Kenya
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Maya Wardeh relative to Alexios Giannakopoulos Greece Alexios Giannakopoulos's profile →
Citations per field
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Alexios Giannakopoulos · 1×
Citations per year

Countries citing papers authored by Maya Wardeh

Since Specialization
Citations

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

Fields of papers citing papers by Maya Wardeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Wardeh, 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 Maya Wardeh Line = papers co-authored together Maya Wardeh 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 201588
2 201938
3 202137
4 201536
5 202126
6 202023
7 201921
8 202121
9 201621
10 200920
11 201716
12 201314
13 201714
14 201612
15 201911
16 201611
17 20139
18 20128
19 20127
20 20165

About Maya Wardeh

Maya Wardeh is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Artificial Intelligence and Food Science, having authored 30 papers that have together received 464 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (13 papers), Animal Disease Management and Epidemiology (11 papers), Viral Infections and Vectors (11 papers), Viral gastroenteritis research and epidemiology (5 papers), Logic, Reasoning, and Knowledge (5 papers), Multi-Agent Systems and Negotiation (5 papers), Semantic Web and Ontologies (4 papers) and Animal Diversity and Health Studies (3 papers). The work is most often cited by research in Agronomy and Crop Science (111 citations), Infectious Diseases (171 citations), Public Health, Environmental and Occupational Health (187 citations), Parasitology (34 citations) and Modeling and Simulation (22 citations). Maya Wardeh has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include Matthew Baylis, K. Marie McIntyre, Marcus S. C. Blagrove, Christian Setzkorn, Claire Risley, Trevor Bench‐Capon, Frans Coenen, Kieran J. Sharkey, Sergé Morand and Konstans Wells. Their work appears in journals such as Veterinary Record, PLoS neglected tropical diseases, Nature Communications, Preventive Veterinary Medicine and Scientific Reports.

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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