Thomas Torsney-Weir

23 total papers · 623 total citations
13 papers, 356 citations indexed

About

Thomas Torsney-Weir is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence. According to data from OpenAlex, Thomas Torsney-Weir has authored 13 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Biophysics and 2 papers in Artificial Intelligence. Recurrent topics in Thomas Torsney-Weir's work include Data Visualization and Analytics (6 papers), Cell Image Analysis Techniques (4 papers) and Medical Image Segmentation Techniques (2 papers). Thomas Torsney-Weir is often cited by papers focused on Data Visualization and Analytics (6 papers), Cell Image Analysis Techniques (4 papers) and Medical Image Segmentation Techniques (2 papers). Thomas Torsney-Weir collaborates with scholars based in Austria, United Kingdom and Germany. Thomas Torsney-Weir's co-authors include Philippe J. Giabbanelli, Vijay Mago, Torsten Möller, Britta Weber, Jean‐Marc Verbavatz, Hans‐Christian Hege, Steven Bergner, Torsten Müller, Harald Piringer and Marc Streit and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Applied Soft Computing.

In The Last Decade

Thomas Torsney-Weir

12 papers receiving 349 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Torsney-Weir 134 115 93 62 41 13 356
Amy Zhao 171 1.3× 121 1.1× 13 0.1× 99 1.6× 2 0.0× 14 380
Khaled Al-Thelaya 43 0.3× 81 0.7× 15 0.2× 23 0.4× 164 4.0× 19 350
Carol Hunter 107 0.8× 19 0.2× 15 0.2× 21 0.3× 5 0.1× 21 305
Alhanoof Althnian 52 0.4× 80 0.7× 19 0.2× 48 0.8× 7 0.2× 12 317
Rahul Nair 182 1.4× 97 0.8× 23 0.2× 23 0.4× 3 0.1× 13 347
Somnath Chatterjee 55 0.4× 108 0.9× 14 0.2× 141 2.3× 19 0.5× 14 353
Diwei Zhou 66 0.5× 62 0.5× 10 0.1× 68 1.1× 25 0.6× 24 311
Chaoyu Chen 144 1.1× 116 1.0× 19 0.2× 97 1.6× 3 0.1× 18 328
André Carrington 24 0.2× 201 1.7× 14 0.2× 59 1.0× 8 0.2× 7 346
Marc Janssen 38 0.3× 106 0.9× 20 0.2× 40 0.6× 7 0.2× 17 402

Countries citing papers authored by Thomas Torsney-Weir

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Torsney-Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Torsney-Weir. 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 Thomas Torsney-Weir. The network helps show where Thomas Torsney-Weir may publish in the future.

Co-authorship network of co-authors of Thomas Torsney-Weir

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Torsney-Weir. A scholar is included among the top collaborators of Thomas Torsney-Weir 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 Thomas Torsney-Weir. Thomas Torsney-Weir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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