David G. Heath
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 2%
- Surgery top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Brian S. KuszykElliot K. FishmanArthur M. FriedlanderP. Patrick ClearySusan L. WelkosG.W. AndersonGerard P. AndrewsP S Calhoun
- Topics
- Yersinia bacterium, plague, ectoparasites research (9 papers)Medical Imaging Techniques and Applications (8 papers)Medical Image Segmentation Techniques (8 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesGermanyCanada
In The Last Decade
David G. Heath
52 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 152
- Pulmonary and Respiratory Medicine 749
- Genetics 739
- Surgery 647
- Molecular Biology 607
- Radiology, Nuclear Medicine and Imaging 588
Countries citing papers authored by David G. Heath
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
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 of co-authors of David G. Heath
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Heath. A scholar is included among the top collaborators of David G. Heath 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 David G. Heath. David G. Heath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 22 | |
| 3 | 49 | |
| 4 | 177 | |
| 5 | 31 | |
| 6 | 20 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 241 | |
| 11 | 27 | |
| 12 | 93 | |
| 13 | 127 | |
| 14 | 10 | |
| 15 | 48 | |
| 16 | Induction of Oblique Decision Trees. | 96 |
| 17 | 16 | |
| 18 | 25 | |
| 19 | Learning with a Helpful Teacher. | 27 |
| 20 | 30 |
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) and Medical Image Segmentation Techniques (8 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.