David E. Jacobs

6.3k citations
113 papers · 4.7k · h-index 36

Impact in

Papers in

David E. Jacobs

106 papers receiving 4.4k citations

Peers

David E. Jacobs
Comparison fields: 5 of 194
  • Health, Toxicology and Mutagenesis 2.1k
  • Speech and Hearing 584
  • Pollution 665
  • Health 271
  • Computer Vision and Pattern Recognition 562
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Peter James United States
Michael J. Hodgson United States
Michael G. Yost United States
Jun Wu United States
Anke Huss Netherlands
Susanne Moebus Germany
Audrey Smargiassi Canada
Myles Cockburn United States
Neil E. Klepeis United States
Ulrich Ranft Germany
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Citations per field
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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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998411
2 2002346
3 2008306
4 2004284
5 2011166
6 2008135
7 2008131
8 2003129
9 2013127
10 2010126
11 2018106
12 2000104
13 2010101
14 1995101
15 200788
16 202285
17 201083
18 201677
19 201074
20 201371

About David E. Jacobs

David E. Jacobs is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Computer Vision and Pattern Recognition, Sociology and Political Science and Pollution, having authored 113 papers that have together received 4.7k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (36 papers), Noise Effects and Management (26 papers), Air Quality and Health Impacts (20 papers), Environmental Justice and Health Disparities (13 papers), Climate Change and Health Impacts (10 papers), Heavy metals in environment (10 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 (584 citations), Pollution (665 citations), Health (271 citations) and Computer Vision and Pattern Recognition (562 citations). David E. Jacobs has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sherry Dixon, Jonathan Wilson, Mary Jean Brown, Thomas Matte, John Rogers, Robert P. Clickner, David Ormandy, Jill Breysse, Darryl C. Zeldin and Bruce P. 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 Public Health 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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