William G. Eckert

841 citations
59 papers · 579 · h-index 12

Impact in

Papers in

William G. Eckert

43 papers receiving 463 citations

Peers

William G. Eckert
Comparison fields: 5 of 99
  • Archeology 129
  • Radiology, Nuclear Medicine and Imaging 156
  • Emergency Medicine 51
  • Genetics 30
  • Insect Science 28
Replace Marco Grandi with:
Marco Grandi Italy
Domenico De Leo Italy
Wolfgang Bonte Germany
B. Vennemann Germany
Stuart H. James United Kingdom
Zehra Zerrin Erkol Türkiye
Pauline Saint‐Martin France
Ahmed Banasr Tunisia
W Spann Germany
Véronique Alunni France
William G. Eckert relative to Marco Grandi Italy Marco Grandi's profile →
Citations per field
00.5×1.5×1.8×
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Citations per year

Countries citing papers authored by William G. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by William G. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside William G. Eckert, 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 William G. Eckert Line = papers co-authored together William G. Eckert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198087
2 198862
3
Interpretation of Bloodstain Evidence at Crime Scenes
198956
4 198445
5 199637
6 198430
7 199126
8 197825
9 198119
10 199617
11 198615
12 199013
13 198611
14 198110
15 199010
16 19829
17 19919
18 19818
19 19827
20 19857

About William G. Eckert

William G. Eckert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, History and Philosophy of Science, Toxicology and Archeology, having authored 59 papers that have together received 579 indexed citations. Recurring topics across this work include Autopsy Techniques and Outcomes (30 papers), Historical and Scientific Studies (19 papers), History of Science and Medicine (11 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers), Legal processes and jurisprudence (5 papers), Forensic Toxicology and Drug Analysis (5 papers), Forensic Entomology and Diptera Studies (5 papers) and Medical History and Innovations (4 papers). The work is most often cited by research in Archeology (129 citations), Radiology, Nuclear Medicine and Imaging (156 citations), Emergency Medicine (51 citations), Genetics (30 citations) and Insect Science (28 citations). William G. Eckert has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stuart H. James, Thomas T. Noguchi, Vincent J.M. DiMaio, Joel B. Kirkpatrick, Robert R. Hazelwood, Joshua A. Perper, Mark L. Taff, Joe J. Lin, Werner U. Spitz and Ronald F. Wright. Their work appears in journals such as American Journal of Forensic Medicine & Pathology, CHEST Journal, CRC Press eBooks, PubMed and Medical Entomology and Zoology.

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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