Jan Ernsting

659 total citations
13 papers, 109 citations indexed

About

Jan Ernsting is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Jan Ernsting has authored 13 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Jan Ernsting's work include Advanced Software Engineering Methodologies (4 papers), Mobile and Web Applications (3 papers) and Model-Driven Software Engineering Techniques (2 papers). Jan Ernsting is often cited by papers focused on Advanced Software Engineering Methodologies (4 papers), Mobile and Web Applications (3 papers) and Model-Driven Software Engineering Techniques (2 papers). Jan Ernsting collaborates with scholars based in Germany, Norway and Sweden. Jan Ernsting's co-authors include Herbert Kuchen, Tim A. Majchrzak, Martin Dugas, Joop H. Jansen, Lucas Plagwitz, Nils Opel, Udo Dannlowski, Nils R. Winter, Ramona Leenings and Michael Storck and has published in prestigious journals such as Bioinformatics, PLoS ONE and Computers in Biology and Medicine.

In The Last Decade

Jan Ernsting

13 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Ernsting Germany	7	58	22	20	19	16	13	109
Phil Gray United Kingdom	8	33 0.6×	20 0.9×	9 0.5×	4 0.2×	45 2.8×	17	180
Christian Dörner Germany	7	25 0.4×	8 0.4×	23 1.1×	17 0.9×	29 1.8×	17	113
Francisco Valverde Spain	7	82 1.4×	20 0.9×	47 2.4×	23 1.2×	3 0.2×	21	133
Brion Sarachan United States	6	15 0.3×	13 0.6×	11 0.6×	4 0.2×	19 1.2×	12	104
Medha Umarji United States	8	137 2.4×	32 1.5×	15 0.8×	46 2.4×	11 0.7×	11	172
Javier Fabra Spain	9	88 1.5×	41 1.9×	54 2.7×	7 0.4×	2 0.1×	32	304
Chien-Cheng Lin Taiwan	7	99 1.7×	16 0.7×	6 0.3×	4 0.2×	8 0.5×	13	136
Markus Schranz Austria	11	71 1.2×	20 0.9×	7 0.3×	27 1.4×	29 1.8×	43	361
Carl Allen United Kingdom	5	22 0.4×	45 2.0×	12 0.6×	5 0.3×	10 0.6×	6	100
Alessander Botti Benevides Brazil	6	42 0.7×	76 3.5×	22 1.1×	12 0.6×	21 1.3×	12	128

Countries citing papers authored by Jan Ernsting

Since Specialization

Citations

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

Fields of papers citing papers by Jan Ernsting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Ernsting

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Ernsting. A scholar is included among the top collaborators of Jan Ernsting 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 Jan Ernsting. Jan Ernsting 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

1.

Ernsting, Jan, et al.. (2025). pyAKI—An open source solution to automated acute kidney injury classification. PLoS ONE. 20(1). e0315325–e0315325. 1 indexed citations

2.

Fisch, L., Daniel Emden, Jan Ernsting, et al.. (2024). deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. Computers in Biology and Medicine. 179. 108845–108845. 3 indexed citations

3.

Fisch, L., Michael Heming, Andreas Schulte‐Mecklenbeck, et al.. (2024). GateNet: A novel neural network architecture for automated flow cytometry gating. Computers in Biology and Medicine. 179. 108820–108820. 2 indexed citations

4.

Leenings, Ramona, Nils R. Winter, Lucas Plagwitz, et al.. (2021). PHOTONAI—A Python API for rapid machine learning model development. PLoS ONE. 16(7). e0254062–e0254062. 12 indexed citations

5.

Brix, Tobias, Philipp Bruland, Jan Ernsting, et al.. (2018). ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. PLoS ONE. 13(6). e0199242–e0199242. 6 indexed citations

6.

Sandmann, Sarah, Mohsen Karimi, Aniek O. de Graaf, et al.. (2018). appreci8: a pipeline for precise variant calling integrating 8 tools. Bioinformatics. 34(24). 4205–4212. 19 indexed citations

7.

Ernsting, Jan, et al.. (2016). Refining a Reference Architecture for Model-Driven Business Apps. 307–316. 7 indexed citations

8.

Ernsting, Jan, et al.. (2016). Towards a Reference Architecture for Model-Driven Business Apps. 5731–5740. 6 indexed citations

9.

Majchrzak, Tim A., et al.. (2016). Generating App Product Lines in a Model-Driven Cross-Platform Development Approach. 5803–5812. 9 indexed citations

10.

Majchrzak, Tim A., Jan Ernsting, & Herbert Kuchen. (2015). Model-Driven cross-platform apps: Towards business practicability. BIBSYS Brage (BIBSYS (Norway)). 129–136. 3 indexed citations

11.

Ernsting, Jan, et al.. (2015). Integrating Agile Software Development and Enterprise Architecture Management. 4099–4108. 22 indexed citations

12.

Majchrzak, Tim A., Jan Ernsting, & Herbert Kuchen. (2015). Achieving Business Practicability of Model-Driven Cross-Platform Apps. BIBSYS Brage (BIBSYS (Norway)). 2(2). 4–15. 18 indexed citations

13.

Ernsting, Jan. (1961). Reversed-ear Syndrome. BMJ. 2(5254). 769–769. 1 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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