Eva Pilot

43 papers receiving 801 citations

Peers

Eva Pilot
Comparison fields: 5 of 130
  • Health, Toxicology and Mutagenesis 241
  • Modeling and Simulation 57
  • Health 97
  • General Health Professions 221
  • Finance 56
Replace Julián Alfredo Fernández-Niño with:
Julián Alfredo Fernández-Niño Colombia
Jongho Heo South Korea
Isobel Braithwaite United Kingdom
Chuanhua Yu China
Ying‐Chih Chuang Taiwan
Raaj Kishore Biswas Australia
Lucy Telfar-Barnard New Zealand
Laura Andrea Rodríguez-Villamizar Colombia
Mary Wolfe United States
Pania Karnaki Greece
Eva Pilot relative to Julián Alfredo Fernández-Niño Colombia Julián Alfredo Fernández-Niño's profile →
Citations per field
00.5×
Julián Alfredo Fernández-Niño · 1×
Citations per year

Countries citing papers authored by Eva Pilot

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pilot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018116
2 201483
3 201770
4 201862
5 201651
6 202047
7 201841
8 201729
9 201728
10 201926
11 202322
12 202019
13 202016
14 202116
15 202114
16 201712
17 201912
18 201411
19 201611
20 201811

About Eva Pilot

Eva Pilot is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Infectious Diseases, Epidemiology and Health, having authored 45 papers that have together received 821 indexed citations. Recurring topics across this work include Global Health Care Issues (8 papers), COVID-19 epidemiological studies (8 papers), Employment and Welfare Studies (7 papers), Air Quality and Health Impacts (6 papers), Health disparities and outcomes (6 papers), Mosquito-borne diseases and control (6 papers), Zoonotic diseases and public health (5 papers) and Data-Driven Disease Surveillance (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (241 citations), Modeling and Simulation (57 citations), Health (97 citations), General Health Professions (221 citations) and Finance (56 citations). Eva Pilot has collaborated with scholars based in Netherlands, China and United Kingdom. Frequent co-authors include Thomas Krafft, Mala Rao, Paula Santana, Wuyi Wang, Fengying Zhang, Linsheng Yang, Yonghua Li, Esperanza Díaz, Sotiris Vardoulakis and Jun Yang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Public Health, International Journal for Equity in Health, Health & Place and European Journal of Public Health.

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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