Dmitry B. Goldgof
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Co-authors
- Lawrence HallRobert J. GilliesRobert A. GatenbyYoganand BalagurunathanMatthew B. SchabathSteven A. EschrichVirendra KumarKevin W. Bowyer
- Topics
- Radiomics and Machine Learning in Medical Imaging (50 papers)Medical Image Segmentation Techniques (49 papers)Advanced Vision and Imaging (41 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaBloodIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Dmitry B. Goldgof
261 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Radiology, Nuclear Medicine and Imaging 4.1k
- Computer Vision and Pattern Recognition 3.3k
- Artificial Intelligence 2.4k
- Pulmonary and Respiratory Medicine 1.6k
- Biomedical Engineering 1.4k
Countries citing papers authored by Dmitry B. Goldgof
This map shows the geographic impact of Dmitry B. Goldgof'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 Dmitry B. Goldgof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry B. Goldgof more than expected).
Fields of papers citing papers by Dmitry B. Goldgof
This network shows the impact of papers produced by Dmitry B. Goldgof. 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 Dmitry B. Goldgof. The network helps show where Dmitry B. Goldgof may publish in the future.
Co-authorship network of co-authors of Dmitry B. Goldgof
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry B. Goldgof. A scholar is included among the top collaborators of Dmitry B. Goldgof 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 Dmitry B. Goldgof. Dmitry B. Goldgof 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 | 1 | |
| 3 | 5 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 19 | |
| 11 | 51 | |
| 12 | 51 | |
| 13 | 13 | |
| 14 | 33 | |
| 15 | 34 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 272 | |
| 19 | 72 | |
| 20 | A Qualitative Expert System for Clinical Trial Assignment | 6 |
About Dmitry B. Goldgof
Dmitry B. Goldgof is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Biophysics, having authored 275 papers that have together received 9.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (50 papers), Medical Image Segmentation Techniques (49 papers) and Advanced Vision and Imaging (41 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.1k citations), Computer Vision and Pattern Recognition (3.3k citations) and Health Informatics (176 citations). Dmitry B. Goldgof has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Lawrence Hall, Robert J. Gillies, Robert A. Gatenby, Yoganand Balagurunathan, Matthew B. Schabath, Steven A. Eschrich, Virendra Kumar, Kevin W. Bowyer, Yuhua Gu and Sudeep Sarkar. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.