Péter Bayer

1.5k citations
59 papers · 1.1k indexed · 1 hit paper · h-index 20

Péter Bayer

58 papers receiving 1.1k citations

Hit Papers

The Shapley Value in Machine Learning13420222026202320244080120

Peers

Péter Bayer
Comparison fields: 5 of 146
  • Transplantation 75
  • Rheumatology 269
  • Nephrology 112
  • Hematology 152
  • Pathology and Forensic Medicine 147
Replace Shintaro Narita with:
Shintaro Narita Japan
Mei‐Chin Wen Taiwan
J Hermans Netherlands
Jean Francis United States
Hidefumi Kinoshita Japan
Shu-Ping Lan United States
Kazuhiro Nishikawa Japan
Martin Schostak Germany
Keyur B. Shah United States
Vipul C. Chitalia United States
Péter Bayer relative to Shintaro Narita Japan Shintaro Narita's profile →
Citations per field
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Shintaro Narita · 1×
Citations per year

Countries citing papers authored by Péter Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Péter Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20221
4 201814
5 2008124
6 200863
7 200815
8 200720
9 200210
10 199912
11 199937
12 19988
13 199721
14 19963
15 19968
16 199515
17 199334
18
Clinical evaluation of a nephelometric myoglobin immunoassay
19901
19 19884
20 19874

About Péter Bayer

Péter Bayer is a scholar working on Transplantation, Hematology, Internal Medicine, Nephrology and Rheumatology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (5 papers), Game Theory and Applications (4 papers), Experimental Behavioral Economics Studies (4 papers), Pancreatitis Pathology and Treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Clinical Laboratory Practices and Quality Control (4 papers), Single-cell and spatial transcriptomics (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Transplantation (75 citations), Rheumatology (269 citations), Nephrology (112 citations), Hematology (152 citations) and Pathology and Forensic Medicine (147 citations). Péter Bayer has collaborated with scholars based in Austria, France and United States. Frequent co-authors include Wolfgang Hübl, Dejan Milosavljevic, Thomas Brücke, Stefan Presslauer, Irmgard Neumann, Hao-Tsung Yang, Benedek Rózemberczki, Christian Koeberl, Rik Sarkar and Olivér Kiss. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Laboratory Analysis, Clinica Chimica Acta and Journal of Theoretical Biology.

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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