Konrad Leszczyński

899 citations
51 papers · 702 indexed · h-index 17

Konrad Leszczyński

49 papers receiving 678 citations

Peers

Konrad Leszczyński
Comparison fields: 5 of 90
  • Radiation 419
  • Radiology, Nuclear Medicine and Imaging 346
  • Pulmonary and Respiratory Medicine 243
  • Computer Vision and Pattern Recognition 136
  • Otorhinolaryngology 22
Replace Michael Lahanas with:
Michael Lahanas Germany
Paul S. Cho United States
Márk Langer United States
John A. Mills United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Konrad Leszczyński

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Leszczyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Konrad Leszczyński, 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 Konrad Leszczyński Line = papers co-authored together Konrad Leszczyński links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20128
2
Asymptotic trust algorithm: extension for reputation systems in online auctions
20110
3 200910
4 200823
5 200117
6 20003
7 199818
8 199820
9 199716
10 199511
11 199422
12 199323
13 199322
14 19927
15 199245
16
Digital Imaging Techniques for Radiotherapy Treatment Verification
19911
17 19909
18 198952
19 198914
20 19871

About Konrad Leszczyński

Konrad Leszczyński is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 51 papers that have together received 702 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (28 papers), Medical Imaging Techniques and Applications (15 papers), Radiation Dose and Imaging (11 papers), Medical Image Segmentation Techniques (9 papers), Advanced X-ray and CT Imaging (7 papers), Image and Signal Denoising Methods (4 papers), AI in cancer detection (4 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Radiation (419 citations), Radiology, Nuclear Medicine and Imaging (346 citations) and Pulmonary and Respiratory Medicine (243 citations). Konrad Leszczyński has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Shlomo Shalev, Peter Dunscombe, Weiguang Yao, Pawel A. Penczek, W. Grochulski, Susan Boyko, L. E. Reinstein, Randy J. Bissett, Allen G. Meek and Kevin R. Fox. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, International Journal of Radiation Oncology*Biology*Physics, British Journal of Radiology and Journal of Applied Clinical 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.

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