Edmund Seto

1.6k total citations
34 papers, 1.3k citations indexed

About

Edmund Seto is a scholar working on Parasitology, Computer Vision and Pattern Recognition and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Edmund Seto has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Parasitology, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Edmund Seto's work include Parasites and Host Interactions (10 papers), Zoonotic diseases and public health (8 papers) and Context-Aware Activity Recognition Systems (6 papers). Edmund Seto is often cited by papers focused on Parasites and Host Interactions (10 papers), Zoonotic diseases and public health (8 papers) and Context-Aware Activity Recognition Systems (6 papers). Edmund Seto collaborates with scholars based in United States, China and United Kingdom. Edmund Seto's co-authors include Rajiv Bhatia, June M. Weintraub, Megan Wier, E Humphreys, Robert C. Spear, Růžena Bajcsy, Štěpán Obdržálek, Gregorij Kurillo, Alan Hubbard and Holly Jimison and has published in prestigious journals such as Environmental Health Perspectives, Accident Analysis & Prevention and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Edmund Seto

34 papers receiving 1.2k citations

Peers

Edmund Seto
Comparison fields: 5 of 126
  • Parasitology 317
  • Safety, Risk, Reliability and Quality 301
  • Transportation 287
  • Public Health, Environmental and Occupational Health 266
  • Ecology 250
Replace Yung‐Ching Liu with:
Yung‐Ching Liu Taiwan
Charlene Willis Australia
Brian C. Tefft United States
Sueli Aparecida Mingoti Brazil
Jean‐Marie Aerts Belgium
Xinxin Zhang China
Maciej Liśkiewicz Germany
G. Chandra Sekhar India
Marcus Watson Australia
Vincent Berardi United States
Yung‐Ching Liu Taiwan View profile →
Citations per field, relative to Edmund Seto
Edmund Seto · 1×
Citations per year, relative to Edmund Seto
Edmund Seto · 1×

Countries citing papers authored by Edmund Seto

Since Specialization
Citations

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

Fields of papers citing papers by Edmund Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edmund Seto

This figure shows the co-authorship network connecting the top 25 collaborators of Edmund Seto. A scholar is included among the top collaborators of Edmund Seto 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 Edmund Seto. Edmund Seto 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
# Work Indexed citations
1 8
2 4
3 8
4 25
5 3
6 1
7 234
8 7
9 30
10 9
11 320
12 47
13 78
14
The Use of Remote Sensing for Predictive Modeling of Schistosomiasis in China
42
15 37
16 46
17 66
18 14
19 6
20 3

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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