Jonas Wanner

584 total citations
21 papers, 294 citations indexed

About

Jonas Wanner is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Jonas Wanner has authored 21 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Jonas Wanner's work include Big Data and Business Intelligence (8 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Digital Transformation in Industry (4 papers). Jonas Wanner is often cited by papers focused on Big Data and Business Intelligence (8 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Digital Transformation in Industry (4 papers). Jonas Wanner collaborates with scholars based in Germany and Denmark. Jonas Wanner's co-authors include Christian Janiesch, Lukas-Valentin Herm, Kai Heinrich, Patrick Zschech, Marcus Fischer, Florian Imgrund, Jerome Geyer‐Klingeberg, Kevin Fuchs, Oliver Krancher and Axel Winkelmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Information Management.

In The Last Decade

Jonas Wanner

21 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Wanner Germany 10 100 62 52 48 39 21 294
Lukas-Valentin Herm Germany 7 95 0.9× 44 0.7× 51 1.0× 43 0.9× 42 1.1× 12 238
Weiyu Wang China 5 72 0.7× 28 0.5× 44 0.8× 48 1.0× 25 0.6× 7 325
Michael Vössing Germany 9 104 1.0× 31 0.5× 15 0.3× 51 1.1× 29 0.7× 24 260
Sabina-Cristiana Necula Romania 8 60 0.6× 24 0.4× 47 0.9× 18 0.4× 15 0.4× 24 245
Nikolaus Lipusch Germany 6 47 0.5× 84 1.4× 47 0.9× 32 0.7× 22 0.6× 19 221
Mike Horia Teodorescu United States 8 68 0.7× 36 0.6× 46 0.9× 105 2.2× 8 0.2× 34 287
Marc Goutier Germany 6 74 0.7× 24 0.4× 33 0.6× 20 0.4× 10 0.3× 11 237
Tayebeh Saheb Iran 6 45 0.5× 15 0.2× 32 0.6× 45 0.9× 14 0.4× 11 256
Rawan Abulibdeh Canada 4 61 0.6× 19 0.3× 68 1.3× 18 0.4× 17 0.4× 8 290

Countries citing papers authored by Jonas Wanner

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Wanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Wanner

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Wanner. A scholar is included among the top collaborators of Jonas Wanner 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 Jonas Wanner. Jonas Wanner 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.
Heinrich, Kai, et al.. (2025). Decision factors for the selection of AI-based decision support systems—The case of task delegation in prognostics. PLoS ONE. 20(7). e0328411–e0328411. 1 indexed citations
2.
Wanner, Jonas, et al.. (2023). A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 54(1). 11–45. 7 indexed citations
3.
Herm, Lukas-Valentin, et al.. (2022). A nascent design theory for explainable intelligent systems. Electronic Markets. 32(4). 2185–2205. 15 indexed citations
4.
Wanner, Jonas, Lukas-Valentin Herm, Kai Heinrich, & Christian Janiesch. (2022). The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study. Electronic Markets. 32(4). 2079–2102. 70 indexed citations
5.
Herm, Lukas-Valentin, Kai Heinrich, Jonas Wanner, & Christian Janiesch. (2022). Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability. International Journal of Information Management. 69. 102538–102538. 72 indexed citations
6.
Wanner, Jonas, et al.. (2021). ADOPTION BARRIERS OF AI: A CONTEXT-SPECIFIC ACCEPTANCE MODEL FOR INDUSTRIAL MAINTENANCE. Journal of the Association for Information Systems. 5 indexed citations
7.
Herm, Lukas-Valentin, et al.. (2021). I DON’T GET IT, BUT IT SEEMS VALID! THE CONNECTION BETWEEN EXPLAINABILITY AND COMPREHENSIBILITY IN (X)AI RESEARCH. Journal of the Association for Information Systems. 5 indexed citations
8.
Wanner, Jonas. (2021). Do you really want to know why? Effects of AI-based DSS Advice on Human Decisions.. Journal of the Association for Information Systems. 2 indexed citations
9.
Wanner, Jonas, Lukas-Valentin Herm, Kai Heinrich, & Christian Janiesch. (2021). A social evaluation of the perceived goodness of explainability in machine learning. RePEc: Research Papers in Economics. 5(1). 29–50. 12 indexed citations
10.
Wanner, Jonas, Kai Heinrich, Christian Janiesch, & Patrick Zschech. (2020). How Much AI Do You Require? Decision Factors for Adopting AI Technology. Journal of the Association for Information Systems. 17 indexed citations
11.
Wanner, Jonas, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch, & Patrick Zschech. (2020). White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems. Journal of the Association for Information Systems. 10 indexed citations
12.
Wanner, Jonas, Lukas-Valentin Herm, & Christian Janiesch. (2020). HOW MUCH IS THE BLACK BOX? THE VALUE OF EXPLAINABILITY IN MACHINE LEARNING MODELS. Journal of the Association for Information Systems. 9 indexed citations
13.
Wanner, Jonas, et al.. (2019). Process Selection in RPA Projects – Towards a Quantifiable Method of Decision Making. Journal of the Association for Information Systems. 18 indexed citations
14.
Wanner, Jonas, et al.. (2019). Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory. Journal of the Association for Information Systems. 47–61. 1 indexed citations
15.
Wanner, Jonas, et al.. (2019). Two-Sided Digital Markets: Disruptive Chance Meets Chicken or Egg Causality Dilemma. 335–344. 5 indexed citations
16.
Wanner, Jonas & Christian Janiesch. (2019). Big data analytics in sustainability reports: an analysis based on the perceived credibility of corporate published information. SHILAP Revista de lepidopterología. 12(1). 143–173. 24 indexed citations
17.
Wanner, Jonas, et al.. (2019). Machine Learning and Complex Event Processing. 15. 2 indexed citations
18.
Wanner, Jonas, et al.. (2019). Verwendung binärer Datenwerte für eine KI-gestützte Instandhaltung 4.0. HMD Praxis der Wirtschaftsinformatik. 56(6). 1268–1281. 2 indexed citations
19.
Wanner, Jonas, et al.. (2019). Countering the Fear of Black-boxed AI in Maintenance: Towards a Smart Colleague. Journal of the Association for Information Systems. 4 indexed citations
20.
Wanner, Jonas. (1956). Stratigraphy of Portuguese Timor. Zeitschrift der Deutschen Geologischen Gesellschaft. 108(1). 109–140. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026