David G. Heath

4.4k citations
52 papers · 3.3k indexed · h-index 28

David G. Heath

52 papers receiving 3.2k citations

Peers

David G. Heath
Comparison fields: 5 of 152
  • Parasitology 301
  • Endocrinology 182
  • Computer Graphics and Computer-Aided Design 115
  • Genetics 739
  • Radiology, Nuclear Medicine and Imaging 588
Replace Heung Kyu Lee with:
Heung Kyu Lee South Korea
Michael A. Scott United States
Thomas Stehlé Germany
Steffen Thiel Denmark
Yiping W. Han United States
Burkhard Ludewig Switzerland
Brian Angus United Kingdom
Robin E. Callard United Kingdom
Douglas P. Clark United States
Stephen Todryk United Kingdom
David G. Heath relative to Heung Kyu Lee South Korea Heung Kyu Lee's profile →
Citations per field
00.5×10×12.8×
Heung Kyu Lee · 1×
Citations per year

Countries citing papers authored by David G. Heath

Since Specialization
Citations

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

Fields of papers citing papers by David G. Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200579
2 200322
3 200249
4 2001177
5 199931
6 199820
7 199812
8 19985
9 199826
10 1998241
11 199827
12 199693
13 1996127
14 199610
15 199548
16
Induction of Oblique Decision Trees.
199396
17 199316
18 199225
19
Learning with a Helpful Teacher.
199127
20 199030

About David G. Heath

David G. Heath is a scholar working on Computer Graphics and Computer-Aided Design, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 3.3k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (9 papers), Medical Imaging Techniques and Applications (8 papers), Medical Image Segmentation Techniques (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Streptococcal Infections and Treatments (7 papers), Computer Graphics and Visualization Techniques (6 papers), Pharmacological Effects of Natural Compounds (6 papers) and Cerebrovascular and Carotid Artery Diseases (6 papers). The work is most often cited by research in Parasitology (301 citations), Endocrinology (182 citations) and Computer Graphics and Computer-Aided Design (115 citations). David G. Heath has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Brian S. Kuszyk, Elliot K. Fishman, Arthur M. Friedlander, P. Patrick Cleary, Susan L. Welkos, G.W. Anderson, Gerard P. Andrews, P S Calhoun, Elliot K. Fishman and Pamela T. Johnson. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

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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