Nick Pawlowski

56 total papers · 1.9k total citations
11 papers, 293 citations indexed

About

Nick Pawlowski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nick Pawlowski has authored 11 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nick Pawlowski's work include Brain Tumor Detection and Classification (2 papers), AI in cancer detection (2 papers) and Medical Image Segmentation Techniques (2 papers). Nick Pawlowski is often cited by papers focused on Brain Tumor Detection and Classification (2 papers), AI in cancer detection (2 papers) and Medical Image Segmentation Techniques (2 papers). Nick Pawlowski collaborates with scholars based in United Kingdom, Switzerland and United States. Nick Pawlowski's co-authors include Ben Glocker, Nat Dilokthanakul, Murray Shanahan, Kersten Petersen, Michiel Schaap, Martin Rajchl, Daniel Rueckert, Ioannis Lavdas, Eric O. Aboagye and Andrea Rockall and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Nick Pawlowski

11 papers receiving 285 citations

Author Peers

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

Author Last Decade Papers Cites
Nick Pawlowski 126 120 90 44 31 11 293
Tarun Agrawal 117 0.9× 77 0.6× 66 0.7× 26 0.6× 42 1.4× 26 250
Robert Van Uitert 116 0.9× 35 0.3× 157 1.7× 63 1.4× 23 0.7× 16 352
M.W. Roth 72 0.6× 123 1.0× 104 1.2× 48 1.1× 34 1.1× 5 320
Guangyuan Li 102 0.8× 48 0.4× 187 2.1× 51 1.2× 18 0.6× 30 358
Siddhartha Nath 52 0.4× 42 0.3× 64 0.7× 26 0.6× 65 2.1× 12 262
Kristoffer Wickstrøm 113 0.9× 194 1.6× 79 0.9× 28 0.6× 13 0.4× 13 362
Elene Firmeza Ohata 188 1.5× 178 1.5× 65 0.7× 22 0.5× 19 0.6× 20 349
Kaleem Arshid 73 0.6× 73 0.6× 101 1.1× 52 1.2× 52 1.7× 19 351
Jieru Mei 89 0.7× 90 0.8× 164 1.8× 45 1.0× 11 0.4× 10 336
Qiwei Feng 87 0.7× 118 1.0× 87 1.0× 15 0.3× 14 0.5× 8 256

Countries citing papers authored by Nick Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by Nick Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Pawlowski

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Pawlowski. A scholar is included among the top collaborators of Nick Pawlowski 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 Nick Pawlowski. Nick Pawlowski 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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