David E. Jacobs

6.4k citations
116 papers · 4.9k · h-index 37

Impact in

Papers in

David E. Jacobs

114 papers receiving 4.6k citations

Peers

David E. Jacobs
Comparison fields: 5 of 195
  • Health, Toxicology and Mutagenesis 2.1k
  • Speech and Hearing 580
  • Pollution 664
  • Health 261
  • Computer Vision and Pattern Recognition 600
Replace Michael J. Hodgson with:
Michael J. Hodgson United States
Lin Fritschi Australia
Martin Röösli Switzerland
Per H. J. Nafstad Norway
Jun Yun Wu United States
Michael G. Yost United States
Warwick Williams Australia
Audrey Smargiassi Canada
Myles Cockburn United States
Neil E. Klepeis United States
David E. Jacobs relative to Michael J. Hodgson United States Michael J. Hodgson's profile →
Citations per field
00.5×10×20×27.3×
Michael J. Hodgson · 1×
Citations per year

Countries citing papers authored by David E. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by David E. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Jacobs. 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 David E. Jacobs. The network helps show where David E. Jacobs may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998405
2 2002349
3 2008306
4 2004290
5 2011167
6 2008137
7 2010134
8 2003133
9 2018131
10 2008130
11 2013130
12 2010100
13 1995100
14 200099
15 202293
16 200784
17 201083
18 202280
19 202077
20 201076

About David E. Jacobs

David E. Jacobs is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Pollution, Computer Vision and Pattern Recognition and Media Technology, having authored 116 papers that have together received 4.9k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (38 papers), Noise Effects and Management (27 papers), Air Quality and Health Impacts (17 papers), Environmental Justice and Health Disparities (14 papers), Heavy metals in environment (11 papers), Climate Change and Health Impacts (9 papers), Advanced Vision and Imaging (9 papers) and Urban Green Space and Health (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.1k citations), Speech and Hearing (580 citations), Pollution (664 citations), Health (261 citations) and Computer Vision and Pattern Recognition (600 citations). David E. Jacobs has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sherry L. Dixon, Mary Jean Brown, Jonathan Wilson, Thomas Matte, John W. M. Rogers, Robert P. Clickner, David Ormandy, Jill Breysse, Darryl C. Zeldin and Bruce Perrin Lanphear. Their work appears in journals such as Environmental Research, Journal of Public Health Management and Practice, Environmental Health Perspectives, ACM Transactions on Graphics and American 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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