Jochen Knaus

466 total citations
10 papers, 300 citations indexed

About

Jochen Knaus is a scholar working on Molecular Biology, Information Systems and Information Systems and Management. According to data from OpenAlex, Jochen Knaus has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Information Systems and 3 papers in Information Systems and Management. Recurrent topics in Jochen Knaus's work include Scientific Computing and Data Management (3 papers), Meta-analysis and systematic reviews (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Jochen Knaus is often cited by papers focused on Scientific Computing and Data Management (3 papers), Meta-analysis and systematic reviews (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Jochen Knaus collaborates with scholars based in Germany and Netherlands. Jochen Knaus's co-authors include Martin Schumacher, Maja Mockenhaupt, Edith Motschall, Peggy Sekula, Stefanie Zimmermann, Christine Porzelius, Harald Binder, Guido Schwarzer, Esmeralda Vicedo and Manuel J. A. Eugster and has published in prestigious journals such as PLoS ONE, European Journal of Public Health and JAMA Dermatology.

In The Last Decade

Jochen Knaus

10 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jochen Knaus Germany	5	184	114	108	49	33	10	300
Dinh Van Nguyen Vietnam	11	181 1.0×	94 0.8×	87 0.8×	27 0.6×	14 0.4×	26	255
Yanpeng Li China	11	38 0.2×	18 0.2×	31 0.3×	10 0.2×	15 0.5×	28	322
Xinlei Yang China	14	10 0.1×	21 0.2×	71 0.7×	8 0.2×	84 2.5×	39	447
Chih‐Hsiung Hsu Taiwan	12	21 0.1×	37 0.3×	7 0.1×	11 0.2×	87 2.6×	37	367
Chaojie Yu China	10	23 0.1×	64 0.6×	36 0.3×	2 0.0×	12 0.4×	34	259
Michael Samarinas Greece	11	14 0.1×	14 0.1×	46 0.4×	7 0.1×	32 1.0×	34	320
Olivier Béatrix France	7	18 0.1×	26 0.2×	4 0.0×	37 0.8×	48 1.5×	14	331
Inpakala Simon United States	6	33 0.2×	11 0.1×	27 0.3×	3 0.1×	15 0.5×	8	386
Astrid Jullion Switzerland	9	10 0.1×	18 0.2×	22 0.2×	4 0.1×	12 0.4×	14	235

Countries citing papers authored by Jochen Knaus

Since Specialization

Citations

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

Fields of papers citing papers by Jochen Knaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Knaus

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

All Works

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10 of 10 papers shown

Scheible, Raphael, Patric Tippmann, Jochen Knaus, et al.. (2024). GottBERT: a pure German Language Model. 21237–21250. 1 indexed citations

Knaus, Jochen, Erika Graf, G. Koch, et al.. (2024). Exploring the potential of large language models for integration into an academic statistical consulting service–the EXPOLS study protocol. PLoS ONE. 19(12). e0308375–e0308375. 2 indexed citations

Knaus, Jochen, et al.. (2024). Attitudes, fears and experiences of medical scientists towards using AI tools in their work routine. European Journal of Public Health. 34(Supplement_3). 1 indexed citations

Brühmann, Boris A., et al.. (2022). The role of data sharing in survey dropout: a study among scientists as respondents. Journal of Documentation. 79(4). 864–879. 1 indexed citations

Schlosser, Pascal, Jochen Knaus, Konstanze Döhner, et al.. (2020). Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington’s Disease. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2635–2648. 13 indexed citations

Zimmermann, Stefanie, Peggy Sekula, Edith Motschall, et al.. (2017). Systemic Immunomodulating Therapies for Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis. JAMA Dermatology. 153(6). 514–514. 209 indexed citations

Hieke, Stefanie, Harald Binder, Guido Schwarzer, & Jochen Knaus. (2012). Costs of Cloud Computing for a Biometry Department. Methods of Information in Medicine. 52(1). 72–79. 7 indexed citations

Boulesteix, Anne‐Laure, Jochen Knaus, & Christoph Bernau. (2012). Application of Microarray Analysis on Computer Cluster and Cloud Platforms. Methods of Information in Medicine. 52(1). 65–71. 3 indexed citations

Eugster, Manuel J. A., et al.. (2010). Hands-on tutorial for parallel computing with R. Computational Statistics. 26(2). 219–239. 19 indexed citations

10.

Knaus, Jochen, Christine Porzelius, Harald Binder, & Guido Schwarzer. (2009). Easier parallel computing in R with snowfall and sfCluster. The R Journal. 1(1). 54–54. 44 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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