Janusz Szymaś

921 citations
48 papers · 694 indexed · h-index 13
Topics
AI in cancer detection (15 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Glioma Diagnosis and Treatment (5 papers)
Journals
SHILAP Revista de lepidopterologíaSpineInternational Journal of Cancer
Partner nations
PolandGermanyFinland

In The Last Decade

Janusz Szymaś

44 papers receiving 680 citations

Peers

Janusz Szymaś
Comparison fields: 5 of 100
  • Molecular Biology 210
  • Artificial Intelligence 204
  • Cancer Research 120
  • Radiology, Nuclear Medicine and Imaging 116
  • Oncology 103
Replace Lisa M.J. Lee with:
Lisa M.J. Lee United States
Jonathan L. Jesneck United States
Matthew J. Cecchini Canada
Nicole B. Johnson United States
Vilppu J. Tuominen Finland
Bartłomiej Grala Poland
Rikke Riber‐Hansen Denmark
Mervi Jumppanen Finland
Sami Blom Finland
Clinton J.V. Campbell Canada
Janusz Szymaś relative to Lisa M.J. Lee United States Lisa M.J. Lee's profile →
Citations per field
00.5×8.5×
Lisa M.J. Lee · 1×
Citations per year

Countries citing papers authored by Janusz Szymaś

Since Specialization
Citations

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

Fields of papers citing papers by Janusz Szymaś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janusz Szymaś

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 7
3 35
4 71
5 5
6 7
7 58
8 10
9 31
10 4
11
Telepathology - new diagnostic tool.
2
12 1
13 87
14 23
15 24
16 11
17 49
18 0
19 9
20
[Gardner's syndrome].
0

About Janusz Szymaś

Janusz Szymaś is a scholar working on Family Practice, Anatomy and General Dentistry, having authored 48 papers that have together received 694 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Biophysics (58 citations), General Dentistry (15 citations) and Cancer Research (120 citations). Janusz Szymaś has collaborated with scholars based in Poland, Germany and Finland. Frequent co-authors include Mikael Lundin, Ronald S. Weinstein, David C. Wilbur, Liron Pantanowitz, Yukako Yagi, Klaus Kayser, Karsten Schlüns, Iver Petersen, Gundula Thiel and Klaus Winzer. Their work appears in journals such as SHILAP Revista de lepidopterología, Spine and International Journal of Cancer.

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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