Robin Senge

847 total citations
18 papers, 531 citations indexed

About

Robin Senge is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Robin Senge has authored 18 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computational Theory and Mathematics. Recurrent topics in Robin Senge's work include Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (5 papers) and Data Mining Algorithms and Applications (3 papers). Robin Senge is often cited by papers focused on Fuzzy Logic and Control Systems (7 papers), Neural Networks and Applications (5 papers) and Data Mining Algorithms and Applications (3 papers). Robin Senge collaborates with scholars based in Germany, United States and France. Robin Senge's co-authors include Eyke Hüllermeier, Dominik Heider, Elena Montañés, Maria Rifqi, José Ramón Quevedo, Juan José del Coz, José Barranquero Tolosa, Weiwei Cheng, Oliver Hirsch and Krzysztof Dembczyński and has published in prestigious journals such as Bioinformatics, European Journal of Operational Research and Pattern Recognition.

In The Last Decade

Robin Senge

18 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robin Senge Germany	11	306	91	79	75	61	18	531
Ramgopal R. Mettu United States	13	169 0.6×	11 0.1×	105 1.3×	33 0.4×	79 1.3×	39	583
Sagar Dhanraj Pande India	15	338 1.1×	85 0.9×	79 1.0×	16 0.2×	25 0.4×	53	844
Xinghao Pan United States	11	178 0.6×	161 1.8×	77 1.0×	15 0.2×	11 0.2×	26	502
Hwanjo Yu South Korea	16	731 2.4×	158 1.7×	169 2.1×	36 0.5×	138 2.3×	42	1.1k
Dariusz Brzeziński Poland	14	705 2.3×	81 0.9×	35 0.4×	87 1.2×	155 2.5×	37	1.0k
Junzhong Gu China	11	280 0.9×	101 1.1×	74 0.9×	41 0.5×	99 1.6×	78	525
Xin Tong United States	13	207 0.7×	71 0.8×	54 0.7×	69 0.9×	61 1.0×	46	576
Abbas Kazerouni United States	9	212 0.7×	28 0.3×	48 0.6×	207 2.8×	50 0.8×	12	589
Hechang Chen China	14	333 1.1×	87 1.0×	140 1.8×	47 0.6×	16 0.3×	59	652
Sergei Gorlatch Germany	18	271 0.9×	310 3.4×	82 1.0×	22 0.3×	13 0.2×	141	1.3k

Countries citing papers authored by Robin Senge

Since Specialization

Citations

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

Fields of papers citing papers by Robin Senge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Senge

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

All Works

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18 of 18 papers shown

Jahnke, Hermann, et al.. (2021). Classification-based model selection in retail demand forecasting. International Journal of Forecasting. 38(1). 209–223. 28 indexed citations

Jahnke, Hermann, et al.. (2019). Distributional Regression for Demand Forecasting in e-grocery. SSRN Electronic Journal. 1 indexed citations

Jahnke, Hermann, et al.. (2019). Distributional regression for demand forecasting in e-grocery. European Journal of Operational Research. 294(3). 831–842. 34 indexed citations

Riemenschneider, Mona, Robin Senge, Ursula Neumann, Eyke Hüllermeier, & Dominik Heider. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining. 9(1). 10–10. 24 indexed citations

Senge, Robin & Eyke Hüllermeier. (2015). Fast Fuzzy Pattern Tree Learning for Classification. IEEE Transactions on Fuzzy Systems. 23(6). 2024–2033. 12 indexed citations

Senge, Robin. (2014). Machine Learning Methods for Fuzzy Pattern Tree Induction. Publikationsserver (Universitat Marburg). 1 indexed citations

Haasenritter, Jörg, Annika Viniol, Annette Becker, et al.. (2013). Diagnose im Kontext – eine erweiterte Perspektive. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 107(9-10). 585–591. 1 indexed citations

Senge, Robin, Stefan Bösner, Krzysztof Dembczyński, et al.. (2013). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 255. 16–29. 82 indexed citations

Senge, Robin, et al.. (2013). Fuzzy pattern trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of color yield in polyester dyeing. 103. 715–721. 4 indexed citations

10.

Montañés, Elena, Robin Senge, José Barranquero Tolosa, et al.. (2013). Dependent binary relevance models for multi-label classification. Pattern Recognition. 47(3). 1494–1508. 113 indexed citations

11.

Heider, Dominik, Robin Senge, Weiwei Cheng, & Eyke Hüllermeier. (2013). Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction. Bioinformatics. 29(16). 1946–1952. 59 indexed citations

12.

Shaker, Ammar, Robin Senge, & Eyke Hüllermeier. (2012). Evolving fuzzy pattern trees for binary classification on data streams. Information Sciences. 220. 34–45. 27 indexed citations

13.

Senge, Robin, et al.. (2012). Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. at - Automatisierungstechnik. 60(10). 622–629. 1 indexed citations

14.

Hirsch, Oliver, Stefan Bösner, Eyke Hüllermeier, et al.. (2011). Multivariate modeling to identify patterns in clinical data: the example of chest pain. BMC Medical Research Methodology. 11(1). 155–155. 7 indexed citations

15.

Hüllermeier, Eyke, et al.. (2011). Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures. IEEE Transactions on Fuzzy Systems. 20(3). 546–556. 74 indexed citations

16.

Senge, Robin & Eyke Hüllermeier. (2010). Pattern trees for regression and fuzzy systems modeling. 1–7. 11 indexed citations

17.

Senge, Robin & Eyke Hüllermeier. (2010). Top-Down Induction of Fuzzy Pattern Trees. IEEE Transactions on Fuzzy Systems. 19(2). 241–252. 50 indexed citations

18.

Senge, Robin & Eyke Hüllermeier. (2009). Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.. LWA. 2 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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