David W. Schippert

8 total papers · 503 total citations
5 papers, 360 citations indexed

About

David W. Schippert is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David W. Schippert has authored 5 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 2 papers in Biomedical Engineering and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in David W. Schippert's work include Surgical Simulation and Training (2 papers), Anatomy and Medical Technology (2 papers) and Orthopedic Surgery and Rehabilitation (2 papers). David W. Schippert is often cited by papers focused on Surgical Simulation and Training (2 papers), Anatomy and Medical Technology (2 papers) and Orthopedic Surgery and Rehabilitation (2 papers). David W. Schippert collaborates with scholars based in United States. David W. Schippert's co-authors include Elizabeth A. Krall, Ilya Voloshin, Sanjeev Kakar, B.F. Morrey, Karl A. Illig, Craig R. Narins, Jeffrey H. Hsu, Amit Khanna, David L. Waldman and Scott M. Surowiec and has published in prestigious journals such as Journal of Vascular Surgery, Journal of Shoulder and Elbow Surgery and Journal of Reconstructive Microsurgery.

In The Last Decade

David W. Schippert

5 papers receiving 347 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David W. Schippert 348 172 81 72 35 5 360
Vincent P. Novak 256 0.7× 39 0.2× 64 0.8× 61 0.8× 11 0.3× 8 314
Patrick Ingelfinger 200 0.6× 33 0.2× 25 0.3× 89 1.2× 20 0.6× 8 374
Sunil Auplish 284 0.8× 9 0.1× 71 0.9× 38 0.5× 9 0.3× 11 310
William N. Snearly 304 0.9× 113 0.7× 23 0.3× 4 0.1× 24 0.7× 9 365
Giovanna Martinelli 129 0.4× 193 1.1× 12 0.1× 29 0.4× 13 0.4× 5 397
Bruno Saia 211 0.6× 10 0.1× 45 0.6× 24 0.3× 16 0.5× 6 317
C. I. Günter 131 0.4× 24 0.1× 39 0.5× 260 3.6× 28 0.8× 6 389
Britton S. Plemmons 137 0.4× 106 0.6× 69 0.9× 9 0.1× 10 0.3× 8 300
Christian Gäbler 277 0.8× 135 0.8× 37 0.5× 6 0.1× 11 0.3× 9 337
Craig K. Seto 127 0.4× 16 0.1× 42 0.5× 37 0.5× 5 0.1× 7 311

Countries citing papers authored by David W. Schippert

Since Specialization
Citations

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

Fields of papers citing papers by David W. Schippert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Schippert

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Schippert. A scholar is included among the top collaborators of David W. Schippert 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 W. Schippert. David W. Schippert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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