Manuel J. A. Eugster

1.4k total citations
31 papers, 884 citations indexed

About

Manuel J. A. Eugster is a scholar working on Artificial Intelligence, Information Systems and Statistics and Probability. According to data from OpenAlex, Manuel J. A. Eugster has authored 31 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Information Systems and 7 papers in Statistics and Probability. Recurrent topics in Manuel J. A. Eugster's work include Advanced Text Analysis Techniques (6 papers), Information Retrieval and Search Behavior (6 papers) and Machine Learning and Data Classification (5 papers). Manuel J. A. Eugster is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Information Retrieval and Search Behavior (6 papers) and Machine Learning and Data Classification (5 papers). Manuel J. A. Eugster collaborates with scholars based in Finland, Germany and Austria. Manuel J. A. Eugster's co-authors include Friedrich Leisch, Samuel Kaski, Tuukka Ruotsalo, Giulio Jacucci, Anne‐Laure Boulesteix, Sabine Lauer, Sohan Seth, Ilkka Kosunen, Petri Myllymäki and Dorota Głowacka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Manuel J. A. Eugster

30 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel J. A. Eugster Finland 18 247 160 120 107 83 31 884
Evgenia Dimitriadou Austria 8 292 1.2× 58 0.4× 105 0.9× 68 0.6× 31 0.4× 14 925
Andreas Weingessel Austria 10 330 1.3× 59 0.4× 111 0.9× 28 0.3× 60 0.7× 23 991
David Durand United States 16 220 0.9× 167 1.0× 61 0.5× 45 0.4× 113 1.4× 49 1.1k
Xu United States 14 229 0.9× 74 0.5× 90 0.8× 46 0.4× 39 0.5× 153 960
Derek Doran United States 16 383 1.6× 280 1.8× 90 0.8× 20 0.2× 19 0.2× 62 1.3k
Paul Murrell New Zealand 11 137 0.6× 49 0.3× 97 0.8× 24 0.2× 131 1.6× 44 706
John I. Marden United States 18 304 1.2× 116 0.7× 87 0.7× 33 0.3× 561 6.8× 45 1.6k
Luana Micallef Finland 11 187 0.8× 43 0.3× 363 3.0× 44 0.4× 26 0.3× 25 902
Alex Biedermann Switzerland 26 533 2.2× 217 1.4× 213 1.8× 18 0.2× 137 1.7× 112 2.1k
David A. James United States 10 253 1.0× 26 0.2× 62 0.5× 24 0.2× 19 0.2× 47 865

Countries citing papers authored by Manuel J. A. Eugster

Since Specialization
Citations

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

Fields of papers citing papers by Manuel J. A. Eugster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel J. A. Eugster. 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 Manuel J. A. Eugster. The network helps show where Manuel J. A. Eugster may publish in the future.

Co-authorship network of co-authors of Manuel J. A. Eugster

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel J. A. Eugster. A scholar is included among the top collaborators of Manuel J. A. Eugster 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 Manuel J. A. Eugster. Manuel J. A. Eugster 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.
Wickham, Hadley, Peter V. Danenberg, Gábor Csárdi, & Manuel J. A. Eugster. (2020). In-Line Documentation for R [R package roxygen2 version 7.1.1]. 1 indexed citations
2.
Ruotsalo, Tuukka, Jaakko Peltonen, Manuel J. A. Eugster, et al.. (2018). Interactive Intent Modeling for Exploratory Search. ACM Transactions on Information Systems. 36(4). 1–46. 42 indexed citations
3.
Eugster, Manuel J. A., Tuukka Ruotsalo, Michiel Spapé, et al.. (2016). Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals. Scientific Reports. 6(1). 38580–38580. 35 indexed citations
4.
Eugster, Manuel J. A., Torsten Hothorn, & Friedrich Leisch. (2016). Domain-Based Benchmark Experiments: Exploratory and Inferential Analysis. Austrian Journal of Statistics. 41(1). 7 indexed citations
5.
Seth, Sohan & Manuel J. A. Eugster. (2015). Archetypal Analysis for Nominal Observations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(5). 849–861. 17 indexed citations
6.
Barral, Oswald, Manuel J. A. Eugster, Tuukka Ruotsalo, et al.. (2015). Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval. 389–399. 22 indexed citations
7.
Eugster, Manuel J. A., Tuukka Ruotsalo, Michiel Spapé, et al.. (2015). Predicting Relevance of Text from Neuro-Physiology. 2 indexed citations
8.
Seth, Sohan & Manuel J. A. Eugster. (2015). Probabilistic archetypal analysis. Machine Learning. 102(1). 85–113. 39 indexed citations
9.
Głowacka, Dorota, Tuukka Ruotsalo, Jaakko Peltonen, et al.. (2014). Interactive Visualization of Search Intent for Exploratory Information Retrieval. 1 indexed citations
10.
Eugster, Manuel J. A., Tuukka Ruotsalo, Michiel Spapé, et al.. (2014). Predicting term-relevance from brain signals. 425–434. 63 indexed citations
11.
Boulesteix, Anne‐Laure, Sabine Lauer, & Manuel J. A. Eugster. (2013). A Plea for Neutral Comparison Studies in Computational Sciences. PLoS ONE. 8(4). e61562–e61562. 88 indexed citations
12.
Ruotsalo, Tuukka, Jaakko Peltonen, Manuel J. A. Eugster, et al.. (2013). Directing exploratory search with interactive intent modeling. 1759–1764. 59 indexed citations
13.
Eugster, Manuel J. A.. (2012). Performance Profiles based on Archetypal Athletes. International Journal of Performance Analysis in Sport. 12(1). 166–187. 35 indexed citations
14.
Leisch, Friedrich, Manuel J. A. Eugster, & Torsten Hothorn. (2011). Executable Papers for the R Community: The R2 Platform for Reproducible Research. Procedia Computer Science. 4. 618–626. 7 indexed citations
15.
Eugster, Manuel J. A. & Friedrich Leisch. (2011). Exploratory analysis of benchmark experiments an interactive approach. Computational Statistics. 26(4). 699–710. 10 indexed citations
16.
Eugster, Manuel J. A.. (2011). Benchmark Experiments A Tool for Analyzing Statistical Learning Algorithms. 9 indexed citations
17.
Eugster, Manuel J. A., et al.. (2010). Hands-on tutorial for parallel computing with R. Computational Statistics. 26(2). 219–239. 19 indexed citations
18.
Eugster, Manuel J. A., et al.. (2009). From Spider-Man to Hero - Archetypal Analysis in R. SHILAP Revista de lepidopterología. 64 indexed citations
19.
Eugster, Manuel J. A. & Friedrich Leisch. (2009). From Spider-Man to Hero - Archetypal Analysis inR. Journal of Statistical Software. 30(8). 74 indexed citations
20.
Eugster, Manuel J. A., Torsten Hothorn, & Friedrich Leisch. (2008). Exploratory and Inferential Analysis of Benchmark Experiments. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 27 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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