Anthony Kolasny

414 citations
7 papers · 271 · h-index 6

Impact in

Papers in

Anthony Kolasny

6 papers receiving 268 citations

Peers

Anthony Kolasny
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 96
  • Cognitive Neuroscience 83
  • Neurology 27
  • Psychiatry and Mental health 43
  • Computer Vision and Pattern Recognition 37
Replace Bénédicte Mortamet with:
Bénédicte Mortamet United States
Chiara Marzi Italy
Simon Glynn United States
D. Riviére France
Clara Fischer France
Paula J. Britson United States
Po-Shan Wang Taiwan
Kwame S. Kutten United States
Cassandra D. Leonardo United States
Emma J. Moore United Kingdom
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Citations per field
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Bénédicte Mortamet · 1×
Citations per year

Countries citing papers authored by Anthony Kolasny

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Kolasny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Kolasny. 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 Anthony Kolasny. The network helps show where Anthony Kolasny may publish in the future.

Co-authors

The 25 scholars most cited alongside Anthony Kolasny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anthony Kolasny Line = papers co-authored together Anthony Kolasny links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2016168
2 200839
3 201333
4 201120
5 20146
6 20165
7 20120

About Anthony Kolasny

Anthony Kolasny is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Geometry and Topology, having authored 7 papers that have together received 271 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (2 papers), Scientific Computing and Data Management (1 paper), Advanced Radiotherapy Techniques (1 paper), Radiation Therapy and Dosimetry (1 paper), Morphological variations and asymmetry (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Cognitive Neuroscience (83 citations), Neurology (27 citations), Psychiatry and Mental health (43 citations) and Computer Vision and Pattern Recognition (37 citations). Anthony Kolasny has collaborated with scholars based in United States and Singapore. Frequent co-authors include Michael I. Miller, Can Ceritoglu, Marc Vaillant, Yue Li, Andréia V. Faria, Kenichi Oishi, Susumu Mori, Dan Wu, J. Tilak Ratnanather and Daniel J. Tward. Their work appears in journals such as Computing in Science & Engineering, Human Brain Mapping, Frontiers in Neuroinformatics, International Journal of Biomedical Imaging and PubMed Central.

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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