Jörg Wicker

1.1k total citations
32 papers, 545 citations indexed

About

Jörg Wicker is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Jörg Wicker has authored 32 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Jörg Wicker's work include Computational Drug Discovery Methods (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Chemical Sensor Technologies (3 papers). Jörg Wicker is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Chemical Sensor Technologies (3 papers). Jörg Wicker collaborates with scholars based in New Zealand, Germany and Switzerland. Jörg Wicker's co-authors include Stefan Krämer, Kathrin Fenner, Emanuel Schmid, Martin Gütlein, Diogo A. R. S. Latino, Efstratios Bourtsoukidis, Jonathan Williams, Christof Stönner, T. Klüpfel and Bernhard Pfahringer and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Jörg Wicker

30 papers receiving 521 citations

Peers

Jörg Wicker

POLLU

HTM

CTM

Huw Jones United Kingdom

Yujie Yang China

Shuang

M.P. Gómez-Carracedo Spain

GaryF. Bennett United States

Wu Kun China

Thomas L. Carpenter United States

Shihu Liu China

Xiaoxiao Zhang China

Huw Jones United Kingdom

Jörg Wicker

252 ×2.1

POLLU

203 ×1.9

HTM

49 ×0.5

42 ×0.5

11 ×0.2

CTM

Citations per year, relative to Jörg Wicker Jörg Wicker (= 1×) peers Huw Jones

Countries citing papers authored by Jörg Wicker

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Wicker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Wicker

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

All Works

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20 of 20 papers shown

Džeroski, Sašo, et al.. (2025). Assessing the risk of discriminatory bias in classification datasets. Machine Learning. 114(9).

Dobbie, Gillian, et al.. (2025). Predictive modeling of biodegradation pathways using transformer architectures. Journal of Cheminformatics. 17(1). 21–21. 2 indexed citations

Wicker, Jörg, et al.. (2025). Unraveling ADHD: genes, co-occurring traits, and developmental dynamics. Life Science Alliance. 8(5). e202403029–e202403029.

Denny, Paul, et al.. (2024). A systematic review of aspect-based sentiment analysis: domains, methods, and trends. Artificial Intelligence Review. 57(11). 8 indexed citations

Hafner, Jasmin, et al.. (2024). Advancements in biotransformation pathway prediction: enhancements, datasets, and novel functionalities in enviPath. Journal of Cheminformatics. 16(1). 93–93. 9 indexed citations

Sullivan, Matthew P., et al.. (2024). AdductHunter: identifying protein-metal complex adducts in mass spectra. Journal of Cheminformatics. 16(1). 1 indexed citations

Ma, Quincy, et al.. (2023). Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand. Natural hazards and earth system sciences. 23(3). 1207–1226. 1 indexed citations

Hafner, Jasmin, et al.. (2023). Combatting over-specialization bias in growing chemical databases. Journal of Cheminformatics. 15(1). 53–53. 3 indexed citations

Wicker, Jörg, et al.. (2023). De novo network analysis reveals autism causal genes and developmental links to co-occurring traits. Life Science Alliance. 6(10). e202302142–e202302142. 5 indexed citations

10.

Škrlj, Blaž, et al.. (2021). A comprehensive comparison of molecular feature representations for use in predictive modeling. Computers in Biology and Medicine. 130. 104197–104197. 21 indexed citations

11.

Urschler, Martin, et al.. (2021). SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5425–5425. 9 indexed citations

12.

Tam, J. Y. C., et al.. (2021). Holistic evaluation of biodegradation pathway prediction: assessing multi-step reactions and intermediate products. Journal of Cheminformatics. 13(1). 63–63. 12 indexed citations

13.

Ma, Quincy, et al.. (2020). A machine learning damage prediction model for the 2017 Puebla‐Morelos, Mexico, earthquake. Earthquake Spectra. 36(S2). 314–339. 57 indexed citations

14.

Koh, Yun Sing, et al.. (2020). Balancing Utility and Fairness against Privacy in Medical Data. 1226–1233. 3 indexed citations

15.

Stönner, Christof, Achim Edtbauer, Bettina Derstroff, et al.. (2018). Proof of concept study: Testing human volatile organic compounds as tools for age classification of films. PLoS ONE. 13(10). e0203044–e0203044. 11 indexed citations

16.

Wicker, Jörg & Stefan Krämer. (2017). The best privacy defense is a good privacy offense: obfuscating a search engine user’s profile. Data Mining and Knowledge Discovery. 31(5). 1419–1443. 1 indexed citations

17.

Williams, Jonathan, Christof Stönner, Jörg Wicker, et al.. (2016). Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath. Scientific Reports. 6(1). 25464–25464. 74 indexed citations

18.

Wicker, Jörg, Christof Stönner, Efstratios Bourtsoukidis, et al.. (2015). Cinema Data Mining. 1295–1304. 9 indexed citations

19.

Wicker, Jörg, Martin Gütlein, Emanuel Schmid, et al.. (2015). enviPath – The environmental contaminant biotransformation pathway resource. Nucleic Acids Research. 44(D1). D502–D508. 139 indexed citations

20.

Wicker, Jörg. (2013). Large Classifier Systems in Bio- and Cheminformatics. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 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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