Felix Mohr

777 total citations
31 papers, 386 citations indexed

About

Felix Mohr is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Felix Mohr has authored 31 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Felix Mohr's work include Machine Learning and Data Classification (14 papers), Service-Oriented Architecture and Web Services (11 papers) and Advanced Software Engineering Methodologies (8 papers). Felix Mohr is often cited by papers focused on Machine Learning and Data Classification (14 papers), Service-Oriented Architecture and Web Services (11 papers) and Advanced Software Engineering Methodologies (8 papers). Felix Mohr collaborates with scholars based in Germany, Colombia and Netherlands. Felix Mohr's co-authors include Marcel Wever, Eyke Hüllermeier, Jan N. van Rijn, Martin Dienwiebel, Pantcho Stoyanov, Holger H. Hoos, Markus W. Hollmann, Hans Kleine Büning, Albert Wong and Emiel Rorije and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Critical Care Medicine.

In The Last Decade

Felix Mohr

30 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix Mohr Germany 9 188 61 41 27 27 31 386
Jamal Alhiyafi Saudi Arabia 9 220 1.2× 52 0.9× 45 1.1× 21 0.8× 9 0.3× 25 495
Zongwen Fan China 15 231 1.2× 67 1.1× 51 1.2× 19 0.7× 5 0.2× 42 541
Ágnes Vathy-Fogarassy Hungary 10 77 0.4× 36 0.6× 38 0.9× 27 1.0× 5 0.2× 44 315
Nour El Islem Karabadji Algeria 8 83 0.4× 86 1.4× 25 0.6× 27 1.0× 14 0.5× 10 270
Yashuang Mu China 8 139 0.7× 52 0.9× 21 0.5× 18 0.7× 20 0.7× 25 438
Xuelian Deng China 4 253 1.3× 96 1.6× 32 0.8× 54 2.0× 11 0.4× 9 453
Enas Elgeldawi Egypt 7 153 0.8× 42 0.7× 25 0.6× 49 1.8× 6 0.2× 13 505
Ian Covert United States 7 202 1.1× 17 0.3× 20 0.5× 72 2.7× 5 0.2× 8 479
Ignacio Molina United States 7 199 1.1× 56 0.9× 21 0.5× 51 1.9× 4 0.1× 15 467
Mengxiang Chen China 7 154 0.8× 13 0.2× 21 0.5× 21 0.8× 5 0.2× 17 337

Countries citing papers authored by Felix Mohr

Since Specialization
Citations

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

Fields of papers citing papers by Felix Mohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Mohr

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Mohr. A scholar is included among the top collaborators of Felix Mohr 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 Felix Mohr. Felix Mohr 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.
Mohr, Felix, et al.. (2024). DARIO: Differentiable Vision Transformer Pruning With Low-Cost Proxies. IEEE Journal of Selected Topics in Signal Processing. 18(6). 997–1009. 1 indexed citations
2.
Mohr, Felix & Jan N. van Rijn. (2024). Learning curves for decision making in supervised machine learning: a survey. Machine Learning. 113(11-12). 8371–8425. 8 indexed citations
3.
Mohr, Felix, et al.. (2023). Towards Green Automated Machine Learning: Status Quo and Future Directions. Journal of Artificial Intelligence Research. 77. 427–457. 23 indexed citations
4.
Rijn, Jan N. van, Felix Mohr, Willie J.G.M. Peijnenburg, et al.. (2023). The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks. Environmental Science & Technology. 57(46). 17818–17830. 22 indexed citations
5.
Guyon, Isabelle, et al.. (2023). RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. arXiv (Cornell University). 1–9. 2 indexed citations
6.
Mohr, Felix & Marcel Wever. (2022). Naive automated machine learning. Machine Learning. 112(4). 1131–1170. 9 indexed citations
7.
Mohr, Felix & Marcel Wever. (2021). Replacing the Ex-Def Baseline in AutoML by Naive AutoML. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 2 indexed citations
8.
Mohr, Felix, et al.. (2021). Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12373–12381. 1 indexed citations
9.
Wever, Marcel, et al.. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(9). 3037–3054. 53 indexed citations
10.
Bunte, Sebastian, Friederike Behmenburg, Felix Mohr, et al.. (2019). Cardioprotection by Humoral Factors Released After Remote Ischemic Preconditioning Depends on Anesthetic Regimen. Critical Care Medicine. 47(3). e250–e255. 26 indexed citations
11.
Wever, Marcel, Felix Mohr, & Eyke Hüllermeier. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. International Conference on Machine Learning. 7 indexed citations
12.
Mohr, Felix, et al.. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. 241–244. 6 indexed citations
13.
Mohr, Felix, et al.. (2018). Programmatic Task Network Planning. 3 indexed citations
14.
Wever, Marcel, Felix Mohr, & Eyke Hüllermeier. (2018). Ensembles of evolved nested dichotomies for classification. Proceedings of the Genetic and Evolutionary Computation Conference. 561–568. 3 indexed citations
15.
Mohr, Felix. (2016). Automated Software and Service Composition: A Survey and Evaluating Review. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
16.
Mohr, Felix. (2016). Automated Software and Service Composition. SpringerBriefs in computer science. 4 indexed citations
17.
Mohr, Felix, et al.. (2015). An approach towards adaptive service composition in markets of composed services. Journal of Internet Services and Applications. 6(1). 6 indexed citations
18.
Mohr, Felix, et al.. (2014). Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. 25. 105–112. 3 indexed citations
19.
Stoyanov, Pantcho, et al.. (2013). The running-in mechanisms of binary brass studied by in-situ topography measurements. Wear. 303(1-2). 465–472. 32 indexed citations
20.
Mohr, Felix, et al.. (2013). Reducing Nondeterminism in Automated Service Composition. 31. 154–161.

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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