David M. Weinstein
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Epidemiology top 5%
- Cognitive Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Gordon KindlmannJohn Anthony BauerLouis U. BiglianiEvan L. FlatowJohn J. EliasMichael J. MihmLeonid ZhukovChris R. Johnson
- Topics
- Shoulder Injury and Treatment (12 papers)Advanced MRI Techniques and Applications (10 papers)Advanced Neuroimaging Techniques and Applications (8 papers)
- Cited by
- Computational MathematicsComputer Graphics and Computer-Aided DesignRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesJapanMexico
In The Last Decade
David M. Weinstein
77 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 170
- Surgery 1.1k
- Radiology, Nuclear Medicine and Imaging 988
- Epidemiology 733
- Cognitive Neuroscience 667
- Cardiology and Cardiovascular Medicine 412
Countries citing papers authored by David M. Weinstein
This map shows the geographic impact of David M. Weinstein'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 M. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Weinstein more than expected).
Fields of papers citing papers by David M. Weinstein
This network shows the impact of papers produced by David M. Weinstein. 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 M. Weinstein. The network helps show where David M. Weinstein may publish in the future.
Co-authorship network of co-authors of David M. Weinstein
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Weinstein. A scholar is included among the top collaborators of David M. Weinstein 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 M. Weinstein. David M. Weinstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 41 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 79 | |
| 6 | 41 | |
| 7 | 2 | |
| 8 | 45 | |
| 9 | 135 | |
| 10 | 1 | |
| 11 | 395 | |
| 12 | 25 | |
| 13 | 50 | |
| 14 | 10 | |
| 15 | 44 | |
| 16 | 92 | |
| 17 | 73 | |
| 18 | 22 | |
| 19 | 93 | |
| 20 | Imaging studies down overall, but new modalities show increase. | 1 |
About David M. Weinstein
David M. Weinstein is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Transplantation, having authored 78 papers that have together received 3.8k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (12 papers), Advanced MRI Techniques and Applications (10 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Computational Mathematics (153 citations), Computer Graphics and Computer-Aided Design (175 citations) and Radiology, Nuclear Medicine and Imaging (988 citations). David M. Weinstein has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Gordon Kindlmann, John Anthony Bauer, Louis U. Bigliani, Evan L. Flatow, John J. Elias, Michael J. Mihm, Leonid Zhukov, Chris R. Johnson, Rob MacLeod and William J. Ciccone. Their work appears in journals such as PLoS ONE, NeuroImage 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.