Robert Grzeszczuk
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Psychiatry and Mental health
- Co-authors
- Kim K. TanDavid LevinVernon L. TowleJean‐Paul SpireRaif ÇakmurSamuel FrankCharles A. PelizzariGeorge T.Y. Chen
- Topics
- Medical Image Segmentation Techniques (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Radiology practices and education (3 papers)
- Journals
- Journal of neurosurgeryInternational Journal of Radiation Oncology*Biology*PhysicsElectroencephalography and Clinical Neurophysiology
- Partner nations
- United StatesTürkiye
In The Last Decade
Robert Grzeszczuk
17 papers receiving 522 citations
Peers
Comparison fields: 5 of 94
- Cognitive Neuroscience 312
- Radiology, Nuclear Medicine and Imaging 125
- Biomedical Engineering 70
- Computer Vision and Pattern Recognition 66
- Psychiatry and Mental health 48
Countries citing papers authored by Robert Grzeszczuk
This map shows the geographic impact of Robert Grzeszczuk'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 Robert Grzeszczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Grzeszczuk more than expected).
Fields of papers citing papers by Robert Grzeszczuk
This network shows the impact of papers produced by Robert Grzeszczuk. 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 Robert Grzeszczuk. The network helps show where Robert Grzeszczuk may publish in the future.
Co-authorship network of co-authors of Robert Grzeszczuk
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Grzeszczuk. A scholar is included among the top collaborators of Robert Grzeszczuk 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 Robert Grzeszczuk. Robert Grzeszczuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 63 | |
| 13 | 349 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 |
About Robert Grzeszczuk
Robert Grzeszczuk is a scholar working on Health Informatics, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 559 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Cognitive Neuroscience (312 citations), Health Informatics (21 citations) and Computer Graphics and Computer-Aided Design (21 citations). Robert Grzeszczuk has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Kim K. Tan, David Levin, Vernon L. Towle, Jean‐Paul Spire, Raif Çakmur, Samuel Frank, Charles A. Pelizzari, George T.Y. Chen, Lane F. Donnelly and Carolina V. Guimaraes. Their work appears in journals such as Journal of neurosurgery, International Journal of Radiation Oncology*Biology*Physics and Electroencephalography and Clinical Neurophysiology.
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.