Michael Hanselmann

823 total citations
13 papers, 612 citations indexed

About

Michael Hanselmann is a scholar working on Artificial Intelligence, Spectroscopy and Molecular Biology. According to data from OpenAlex, Michael Hanselmann has authored 13 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Spectroscopy and 3 papers in Molecular Biology. Recurrent topics in Michael Hanselmann's work include Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). Michael Hanselmann is often cited by papers focused on Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). Michael Hanselmann collaborates with scholars based in Germany, Netherlands and United States. Michael Hanselmann's co-authors include Fred A. Hamprecht, Ron M. A. Heeren, Philip Schmidt, Attila Reiss, Bernhard Y. Renard, Robert Dürichen, Rainer Stiefelhagen, Marc Kirchner, Kristine Glunde and Erika R. Amstalden and has published in prestigious journals such as Nano Letters, Bioinformatics and PLoS ONE.

In The Last Decade

Michael Hanselmann

13 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Hanselmann Germany	9	169	158	154	148	95	13	612
Tian Guan China	13	102 0.6×	40 0.3×	135 0.9×	165 1.1×	172 1.8×	71	701
Gunawan Witjaksono Malaysia	16	50 0.3×	47 0.3×	120 0.8×	490 3.3×	79 0.8×	67	947
Eddie Yan United States	7	265 1.6×	34 0.2×	327 2.1×	207 1.4×	266 2.8×	10	1.1k
Mingjing Tang China	13	103 0.6×	16 0.1×	71 0.5×	228 1.5×	231 2.4×	37	867
Matteo Manica Switzerland	16	328 1.9×	20 0.1×	19 0.1×	324 2.2×	191 2.0×	33	979
György Cserey Hungary	12	44 0.3×	32 0.2×	43 0.3×	254 1.7×	53 0.6×	55	619
Mike Rogers United States	11	85 0.5×	70 0.4×	261 1.7×	16 0.1×	14 0.1×	31	615
Chien‐Hsing Chen Taiwan	15	127 0.8×	11 0.1×	56 0.4×	222 1.5×	102 1.1×	64	776
Wouter Caarls Brazil	14	50 0.3×	13 0.1×	70 0.5×	63 0.4×	65 0.7×	51	466
Zhongyuan Zhang China	18	164 1.0×	7 0.0×	107 0.7×	324 2.2×	252 2.7×	103	1.1k

Countries citing papers authored by Michael Hanselmann

Since Specialization

Citations

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

Fields of papers citing papers by Michael Hanselmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hanselmann

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

All Works

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13 of 13 papers shown

Hanselmann, Michael, et al.. (2025). Development and validation of prediction models for stroke and myocardial infarction in type 2 diabetes based on health insurance claims: does machine learning outperform traditional regression approaches?. Cardiovascular Diabetology. 24(1). 80–80. 2 indexed citations

Bhattacharyya, Apratim, et al.. (2019). Conditional Flow Variational Autoencoders for Structured Sequence Prediction. MPG.PuRe (Max Planck Society). 28 indexed citations

Schmidt, Philip, et al.. (2017). CNN-based sensor fusion techniques for multimodal human activity recognition. 158–165. 177 indexed citations

Balluff, Benjamin, Michael Hanselmann, & Ron M. A. Heeren. (2016). Mass Spectrometry Imaging for the Investigation of Intratumor Heterogeneity. Advances in cancer research. 134. 201–230. 25 indexed citations

Nguyen-Tuong, Duy, et al.. (2015). Fast greedy insertion and deletion in sparse Gaussian process regression.. The European Symposium on Artificial Neural Networks. 1 indexed citations

Horvát, Emőke-Ágnes, Michael Hanselmann, Fred A. Hamprecht, & Katharina A. Zweig. (2012). Correction: One Plus One Makes Three (for Social Networks). PLoS ONE. 7(4). 10 indexed citations

Horvát, Emőke-Ágnes, Michael Hanselmann, Fred A. Hamprecht, & Katharina A. Zweig. (2012). One Plus One Makes Three (for Social Networks). PLoS ONE. 7(4). e34740–e34740. 16 indexed citations

Hanselmann, Michael, et al.. (2012). Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images. Analytical Chemistry. 85(1). 147–155. 7 indexed citations

Pfannmöller, Martin, Harald Flügge, G. Benner, et al.. (2011). Visualizing a Homogeneous Blend in Bulk Heterojunction Polymer Solar Cells by Analytical Electron Microscopy. Nano Letters. 11(8). 3099–3107. 136 indexed citations

10.

Voß, Björn, Michael Hanselmann, Bernhard Y. Renard, et al.. (2011). SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists. Bioinformatics. 27(7). 987–993. 29 indexed citations

11.

Hanselmann, Michael, Ullrich Köthe, Marc Kirchner, et al.. (2009). Toward Digital Staining using Imaging Mass Spectrometry and Random Forests. Journal of Proteome Research. 8(7). 3558–3567. 77 indexed citations

12.

Hanselmann, Michael, Marc Kirchner, Bernhard Y. Renard, et al.. (2008). Concise Representation of Mass Spectrometry Images by Probabilistic Latent Semantic Analysis. Analytical Chemistry. 80(24). 9649–9658. 102 indexed citations

13.

Hanselmann, Michael, et al.. (2006). A Tableaux-based Mobile DL Reasoner - An Experience Report.. Description Logics. 158(3). 850–1. 2 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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