Igor Gyacskov
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Co-authors
- Aaron FensterCesare RomagnoliDerek W. CoolDavid D’SouzaAnthony LandryC. BlakeMingyue DingJ. David Spence
- Topics
- Medical Imaging and Analysis (8 papers)Prostate Cancer Diagnosis and Treatment (7 papers)Medical Image Segmentation Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaPhysics in Medicine and BiologyMedical Physics
- Partner nations
- CanadaChinaUnited Kingdom
In The Last Decade
Igor Gyacskov
17 papers receiving 321 citations
Peers
Comparison fields: 5 of 43
- Pulmonary and Respiratory Medicine 141
- Computer Vision and Pattern Recognition 141
- Biomedical Engineering 132
- Radiology, Nuclear Medicine and Imaging 109
- Surgery 49
Countries citing papers authored by Igor Gyacskov
This map shows the geographic impact of Igor Gyacskov'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 Igor Gyacskov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Gyacskov more than expected).
Fields of papers citing papers by Igor Gyacskov
This network shows the impact of papers produced by Igor Gyacskov. 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 Igor Gyacskov. The network helps show where Igor Gyacskov may publish in the future.
Co-authorship network of co-authors of Igor Gyacskov
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Gyacskov. A scholar is included among the top collaborators of Igor Gyacskov 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 Igor Gyacskov. Igor Gyacskov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 26 | |
| 7 | 33 | |
| 8 | 59 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 61 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 50 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 16 |
About Igor Gyacskov
Igor Gyacskov is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 18 papers that have together received 328 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (8 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Igor Gyacskov has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Aaron Fenster, Cesare Romagnoli, Derek W. Cool, David D’Souza, Anthony Landry, C. Blake, Mingyue Ding, J. David Spence, Lori Gardi and Aaron Fenster. Their work appears in journals such as SHILAP Revista de lepidopterología, Physics in Medicine and Biology and Medical Physics.
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.