Knut Baumann

4.3k total citations
83 papers, 3.4k citations indexed

About

Knut Baumann is a scholar working on Molecular Biology, Computational Theory and Mathematics and Analytical Chemistry. According to data from OpenAlex, Knut Baumann has authored 83 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 36 papers in Computational Theory and Mathematics and 19 papers in Analytical Chemistry. Recurrent topics in Knut Baumann's work include Computational Drug Discovery Methods (36 papers), Spectroscopy and Chemometric Analyses (19 papers) and Analytical Chemistry and Chromatography (11 papers). Knut Baumann is often cited by papers focused on Computational Drug Discovery Methods (36 papers), Spectroscopy and Chemometric Analyses (19 papers) and Analytical Chemistry and Chromatography (11 papers). Knut Baumann collaborates with scholars based in Germany, Switzerland and Iran. Knut Baumann's co-authors include Sebastian Rohrer, Nikolaus Stiefl, Ulrike Holzgrabe, Miriam Mathea, Jürgen Popp, U. Schmid, Tanja Schirmeister, Modest von Korff, Ute Neugebauer and Michael Schmitt and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Knut Baumann

80 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Knut Baumann Germany 37 1.3k 1.1k 742 476 439 83 3.4k
Hao Zhu United States 42 2.0k 1.5× 3.0k 2.7× 527 0.7× 263 0.6× 1.2k 2.7× 145 6.1k
Marjana Novič Slovenia 29 1.0k 0.8× 918 0.8× 575 0.8× 515 1.1× 209 0.5× 145 3.0k
Feng Luan China 49 1.9k 1.5× 1.1k 1.0× 686 0.9× 352 0.7× 1.4k 3.1× 261 8.3k
Chanin Nantasenamat Thailand 46 3.1k 2.4× 1.5k 1.4× 1.3k 1.7× 250 0.5× 212 0.5× 173 5.9k
Francesca Grisoni Italy 32 1.5k 1.1× 1.8k 1.6× 233 0.3× 231 0.5× 939 2.1× 89 3.3k
Paul M. Selzer Germany 33 2.1k 1.7× 1.8k 1.6× 1.7k 2.3× 140 0.3× 386 0.9× 80 5.6k
Huanxiang Liu China 42 3.1k 2.4× 2.1k 1.9× 944 1.3× 342 0.7× 1.0k 2.3× 307 6.7k
Andrea Mauri Italy 14 885 0.7× 1.2k 1.1× 581 0.8× 253 0.5× 371 0.8× 31 2.6k
Vı́ctor Guallar Spain 42 3.5k 2.7× 569 0.5× 674 0.9× 78 0.2× 917 2.1× 192 6.4k
Stephen D. Pickett United Kingdom 29 2.0k 1.5× 1.9k 1.7× 1000 1.3× 85 0.2× 670 1.5× 51 4.2k

Countries citing papers authored by Knut Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Knut Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Knut Baumann

This figure shows the co-authorship network connecting the top 25 collaborators of Knut Baumann. A scholar is included among the top collaborators of Knut Baumann 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 Knut Baumann. Knut Baumann 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.
Wätzig, Hermann, et al.. (2025). Comparison of different substitution matrices for distance based T-cell receptor epitope predictions using tcrdist3. SHILAP Revista de lepidopterología. 19. 100051–100051.
2.
Hemmateenejad, Bahram & Knut Baumann. (2024). Data pre-processing for paper-based colorimetric sensor arrays. Chemometrics and Intelligent Laboratory Systems. 254. 105237–105237. 2 indexed citations
3.
Laak, Antonius ter, et al.. (2023). Large-scale evaluation of k-fold cross-validation ensembles for uncertainty estimation. Journal of Cheminformatics. 15(1). 49–49. 37 indexed citations
4.
Wätzig, Hermann, Imke Oltmann‐Norden, Hassan A. Alhazmi, et al.. (2015). Data quality in drug discovery: the role of analytical performance in ligand binding assays. Journal of Computer-Aided Molecular Design. 29(9). 847–865. 41 indexed citations
5.
Baumann, Knut, et al.. (2014). Reliable estimation of prediction errors for QSAR models under model uncertainty using double cross-validation. Journal of Cheminformatics. 6(1). 47–47. 115 indexed citations
6.
Baumann, Knut, et al.. (2014). inSARa: intuitive single-target (large-scale) SAR interpretation and multi-target cross-reactivity analysis. Journal of Cheminformatics. 6(S1). O18–O18. 7 indexed citations
7.
Lorenz, Dirk A., et al.. (2013). Observer-Independent Quantification of Insulin Granule Exocytosis and Pre-Exocytotic Mobility by TIRF Microscopy. Microscopy and Microanalysis. 20(1). 206–218. 6 indexed citations
8.
Baumann, Knut, et al.. (2011). Bidirectional Insulin Granule Turnover in the Submembrane Space During K+ Depolarization‐Induced Secretion. Traffic. 12(9). 1166–1178. 12 indexed citations
9.
Wolf, Bernhard, et al.. (2010). Composition of OSCS-contaminated heparin occurring in 2008 in batches on the German market. European Journal of Pharmaceutical Sciences. 40(4). 297–304. 39 indexed citations
10.
Zimmer, O., Knut Baumann, M. Fertl, et al.. (2007). Superfluid-Helium Converter for Accumulation and Extraction of Ultracold Neutrons. Physical Review Letters. 99(10). 104801–104801. 37 indexed citations
11.
Gaus, Katharina, Petra Rösch, R. Petry, et al.. (2006). Classification of lactic acid bacteria with UV‐resonance Raman spectroscopy. Biopolymers. 82(4). 286–290. 71 indexed citations
12.
Vičík, Radim, Christoph Gelhaus, Nikolaus Stiefl, et al.. (2006). Aziridide‐Based Inhibitors of Cathepsin L: Synthesis, Inhibition Activity, and Docking Studies. ChemMedChem. 1(10). 1126–1141. 54 indexed citations
13.
Neugebauer, Ute, U. Schmid, Knut Baumann, et al.. (2006). Characterization of bacterial growth and the influence of antibiotics by means of UV resonance Raman spectroscopy. Biopolymers. 82(4). 306–311. 58 indexed citations
14.
Neugebauer, Ute, U. Schmid, Knut Baumann, et al.. (2006). Towards a Detailed Understanding of Bacterial Metabolism—Spectroscopic Characterization of Staphylococcus Epidermidis. ChemPhysChem. 8(1). 124–137. 170 indexed citations
15.
Schmuck, Carsten, Martin Heil, Josef Scheiber, & Knut Baumann. (2005). Charge Interactions Do the Job: A Combined Statistical and Combinatorial Approach to Finding Artificial Receptors for Binding Tetrapeptides in Water. Angewandte Chemie International Edition. 44(44). 7208–7212. 37 indexed citations
16.
Stiefl, Nikolaus, F. A. Schulz, Markus Schiller, et al.. (2005). Screening of electrophilic compounds yields an aziridinyl peptide as new active-site directed SARS-CoV main protease inhibitor. Bioorganic & Medicinal Chemistry Letters. 15(24). 5365–5369. 38 indexed citations
17.
Baumann, Knut & Nikolaus Stiefl. (2004). Validation tools for variable subset regression. Journal of Computer-Aided Molecular Design. 18(7-9). 549–562. 59 indexed citations
18.
Baumann, Knut, et al.. (2002). Determination of clotrimazole in mice plasma by capillary electrophoresis. Journal of Pharmaceutical and Biomedical Analysis. 30(6). 1879–1887. 10 indexed citations
19.
Baumann, Knut. (1997). Regression and calibration for analytical separation techniques. Part II: Validation, weighted and robust regression. 10(10). 75–112. 24 indexed citations
20.
Baumann, Knut & Hermann Wätzig. (1997). Regression and calibration for analytical separation techniques. Part I: Design considerations. 59–73. 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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