Markus Bundschus

937 total citations
12 papers, 559 citations indexed

About

Markus Bundschus is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Markus Bundschus has authored 12 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Markus Bundschus's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (5 papers) and Computational Drug Discovery Methods (3 papers). Markus Bundschus is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (5 papers) and Computational Drug Discovery Methods (3 papers). Markus Bundschus collaborates with scholars based in Germany, United States and Switzerland. Markus Bundschus's co-authors include Volker Tresp, Hans‐Peter Kriegel, M. Stetter, Anna Bauer‐Mehren, Laura I. Furlong, Miguel Ángel Mayer, Ferrán Sanz, Michael Rautschka, Shipeng Yu and J. Marc Overhage and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Markus Bundschus

12 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Bundschus Germany	10	315	233	76	45	29	12	559
Scott Spangler United States	14	175 0.6×	223 1.0×	54 0.7×	136 3.0×	10 0.3×	34	673
Marc Weeber Netherlands	17	820 2.6×	594 2.5×	123 1.6×	76 1.7×	37 1.3×	27	1.1k
Lana Yeganova United States	12	313 1.0×	367 1.6×	66 0.9×	28 0.6×	25 0.9×	38	596
Fiona Browne United Kingdom	13	266 0.8×	76 0.3×	76 1.0×	56 1.2×	34 1.2×	39	508
Dimitar Hristovski Slovenia	16	792 2.5×	519 2.2×	185 2.4×	80 1.8×	109 3.8×	41	1.1k
Matteo Ré Italy	14	298 0.9×	121 0.5×	96 1.3×	21 0.5×	36 1.2×	28	453
Maryam Habibi Switzerland	9	322 1.0×	430 1.8×	22 0.3×	66 1.5×	11 0.4×	17	554
Juliane Fluck Germany	19	1.2k 3.8×	887 3.8×	256 3.4×	60 1.3×	69 2.4×	68	1.7k
Tianyi Zang China	14	610 1.9×	120 0.5×	255 3.4×	48 1.1×	69 2.4×	65	916

Countries citing papers authored by Markus Bundschus

Since Specialization

Citations

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

Fields of papers citing papers by Markus Bundschus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Bundschus

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

All Works

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12 of 12 papers shown

Mackes, Nuria, et al.. (2024). Assessing Privacy Vulnerabilities in Genetic Data Sets: Scoping Review. SHILAP Revista de lepidopterología. 5. e54332–e54332. 4 indexed citations

Rodriguez‐Esteban, Raul & Markus Bundschus. (2016). Text mining patents for biomedical knowledge. Drug Discovery Today. 21(6). 997–1002. 25 indexed citations

Heinemann, Fabian, et al.. (2016). Reflection of successful anticancer drug development processes in the literature. Drug Discovery Today. 21(11). 1740–1744. 11 indexed citations

Tresp, Volker, J. Marc Overhage, Markus Bundschus, et al.. (2016). Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proceedings of the IEEE. 104(11). 2180–2206. 83 indexed citations

Tsatsaronis, George, et al.. (2013). Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed. Journal of Biomedical Semantics. 4(Suppl 1). S3–S3. 39 indexed citations

Bauer‐Mehren, Anna, Markus Bundschus, Michael Rautschka, et al.. (2011). Gene-Disease Network Analysis Reveals Functional Modules in Mendelian, Complex and Environmental Diseases. PLoS ONE. 6(6). e20284–e20284. 135 indexed citations

Bundschus, Markus, Anna Bauer‐Mehren, Volker Tresp, Laura I. Furlong, & Hans‐Peter Kriegel. (2010). Digging for knowledge with information extraction. Zenodo (CERN European Organization for Nuclear Research). 1845–1848. 4 indexed citations

Arndt, Holger, et al.. (2009). Towards a Next-Generation Matrix Library for Java. 460–467. 14 indexed citations

Tresp, Volker, Markus Bundschus, Yi Huang, & Achim Rettinger. (2009). Materializing and Querying Learned Knowledge. 12. 23 indexed citations

10.

Bundschus, Markus, et al.. (2009). Hierarchical Bayesian Models for Collaborative Tagging Systems. 3. 728–733. 30 indexed citations

11.

Bundschus, Markus, et al.. (2008). Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinformatics. 9(1). 207–207. 155 indexed citations

12.

Mörchen, Fabian, et al.. (2008). Anticipating annotations and emerging trends in biomedical literature. 954–962. 36 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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