Robert Reihs

606 total citations
21 papers, 248 citations indexed

About

Robert Reihs is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Artificial Intelligence. According to data from OpenAlex, Robert Reihs has authored 21 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Artificial Intelligence. Recurrent topics in Robert Reihs's work include Biomedical Text Mining and Ontologies (9 papers), Ethics in Clinical Research (6 papers) and AI in cancer detection (5 papers). Robert Reihs is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Ethics in Clinical Research (6 papers) and AI in cancer detection (5 papers). Robert Reihs collaborates with scholars based in Austria, United States and Germany. Robert Reihs's co-authors include Heimo Müller, Kurt Zatloukal, Petr Holub, David van Enckevort, Morris A. Swertz, Jan‐Eric Litton, Andreas Holzinger, Markus Plass, Michaela Th. Mayrhofer and Łukasz Kozera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and BMC Bioinformatics.

In The Last Decade

Robert Reihs

21 papers receiving 246 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Reihs Austria 9 94 68 66 51 30 21 248
Ana Cernea Spain 8 82 0.9× 16 0.2× 36 0.5× 41 0.8× 25 0.8× 25 273
R. Klar Germany 12 117 1.2× 37 0.5× 57 0.9× 59 1.2× 21 0.7× 31 287
Thomas M. Gudewicz United States 9 115 1.2× 19 0.3× 127 1.9× 37 0.7× 30 1.0× 14 343
Li-Wei Chen China 13 65 0.7× 32 0.5× 18 0.3× 50 1.0× 120 4.0× 51 377
Sebastian Mate Germany 12 152 1.6× 79 1.2× 128 1.9× 14 0.3× 10 0.3× 26 374
Safiye Çelik United States 8 146 1.6× 12 0.2× 53 0.8× 47 0.9× 35 1.2× 11 316
Ashokkumar A. Patel United States 9 132 1.4× 105 1.5× 49 0.7× 66 1.3× 34 1.1× 10 314
Eric F. Glassy United States 9 33 0.4× 21 0.3× 164 2.5× 39 0.8× 103 3.4× 21 358
Michaela Th. Mayrhofer Netherlands 10 31 0.3× 139 2.0× 83 1.3× 21 0.4× 29 1.0× 28 325
Giovanna Nicora Italy 9 167 1.8× 34 0.5× 79 1.2× 57 1.1× 46 1.5× 35 434

Countries citing papers authored by Robert Reihs

Since Specialization
Citations

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

Fields of papers citing papers by Robert Reihs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Reihs

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Reihs. A scholar is included among the top collaborators of Robert Reihs 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 Robert Reihs. Robert Reihs 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
1.
Krogue, Justin D., Shekoofeh Azizi, Fraser Elisabeth Tan, et al.. (2023). Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. SHILAP Revista de lepidopterología. 3(1). 59–59. 12 indexed citations
2.
L’Imperio, Vincenzo, Ellery Wulczyn, Markus Plass, et al.. (2023). Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification. JAMA Network Open. 6(3). e2254891–e2254891. 31 indexed citations
3.
Müller, Heimo, Petr Holub, Markus Plass, et al.. (2023). BIBBOX, a FAIR toolbox and App Store for life science research. New Biotechnology. 77. 12–19. 2 indexed citations
4.
Reihs, Robert, Martin Lablans, Philip Quinlan, et al.. (2021). BBMRI-ERIC Negotiator: Implementing Efficient Access to Biobanks. Biopreservation and Biobanking. 19(5). 414–421. 9 indexed citations
5.
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Holub, Petr, Łukasz Kozera, David van Enckevort, et al.. (2020). BBMRI-ERIC’s contributions to research and knowledge exchange on COVID-19. European Journal of Human Genetics. 28(6). 728–731. 16 indexed citations
7.
Wulczyn, Ellery, David F. Steiner, Melissa Moran, et al.. (2020). Abstract 2096: A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer. Cancer Research. 80(16_Supplement). 2096–2096. 1 indexed citations
8.
Müller, Heimo, et al.. (2019). Acceptance of Virtual Health Avatars. 70–75. 2 indexed citations
9.
Reihs, Robert, et al.. (2019). Visualization of Histopathological Decision Making Using a Roadbook Metaphor. 15. 392–397. 2 indexed citations
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11.
12.
Pichler, Horst, Johann Eder, Sabrina Neururer, et al.. (2017). Conception and Implementation of an Austrian Biobank Directory Integration Framework. Biopreservation and Biobanking. 15(4). 332–340. 4 indexed citations
13.
Müller, Heimo, et al.. (2017). From the evaluation of existing solutions to an all-inclusive package for biobanks. Health and Technology. 7(1). 89–95. 9 indexed citations
14.
Kessler, Sonja M., Stephan Laggai, Nicole Golob‐Schwarzl, et al.. (2017). IMP2/IGF2BP2 expression, but not IMP1 and IMP3, predicts poor outcome in patients and high tumor growth rate in xenograft models of gallbladder cancer. Oncotarget. 8(52). 89736–89745. 31 indexed citations
15.
Holub, Petr, Morris A. Swertz, Robert Reihs, et al.. (2016). BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples. Biopreservation and Biobanking. 14(6). 559–562. 64 indexed citations
16.
Reihs, Robert, Heimo Müller, Stefan Sauer, & Kurt Zatloukal. (2016). Automatic classification of histopathological diagnoses for building a large scale tissue catalogue. Health and Technology. 7(1). 81–88. 2 indexed citations
17.
Müller, Heimo, Robert Reihs, Andreas E. Posch, et al.. (2016). Data Driven GUI Design and Visualization for a NGS Based Clinical Decision Support System. 334. 355–360. 6 indexed citations
18.
Mendy, Maimuna, Dominique Meunier, Alan Christoffels, et al.. (2016). Supporting the development of biobanks in low and medium income countries. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1–10. 12 indexed citations
19.
Müller, Heimo, et al.. (2011). Adaptive Visual Symbols for Personal Health Records. 40. 220–225. 6 indexed citations
20.
Müller, Heimo, Robert Reihs, Stefan Sauer, et al.. (2009). Connecting Genes with Diseases. 2. 323–330. 4 indexed citations

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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