Michael Roth

2.3k total citations
90 papers, 1.0k citations indexed

About

Michael Roth is a scholar working on Artificial Intelligence, Information Systems and Mechanical Engineering. According to data from OpenAlex, Michael Roth has authored 90 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 15 papers in Information Systems and 15 papers in Mechanical Engineering. Recurrent topics in Michael Roth's work include Natural Language Processing Techniques (29 papers), Topic Modeling (27 papers) and Product Development and Customization (12 papers). Michael Roth is often cited by papers focused on Natural Language Processing Techniques (29 papers), Topic Modeling (27 papers) and Product Development and Customization (12 papers). Michael Roth collaborates with scholars based in Germany, United Kingdom and United States. Michael Roth's co-authors include Mirella Lapata, Shyam Upadhyay, Snigdha Chaturvedi, Daniel Khashabi, Dan Roth, Anette Frank, Kristian Woodsend, Udo Lindemann, Sabine Schulte im Walde and Annie Louis and has published in prestigious journals such as Medical Physics, Journal of Clinical Psychology and Spectrochimica Acta Part B Atomic Spectroscopy.

In The Last Decade

Michael Roth

76 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Roth Germany 16 725 183 125 59 49 90 1.0k
H. Penny Nii United States 10 435 0.6× 64 0.3× 116 0.9× 50 0.8× 134 2.7× 17 812
Héctor Muñoz‐Avila United States 19 1.1k 1.5× 139 0.8× 215 1.7× 20 0.3× 173 3.5× 72 1.2k
David Mease United States 9 298 0.4× 83 0.5× 100 0.8× 18 0.3× 25 0.5× 15 652
Derek Partridge United Kingdom 16 435 0.6× 86 0.5× 118 0.9× 61 1.0× 47 1.0× 71 799
Earl Hunt 4 648 0.9× 59 0.3× 176 1.4× 30 0.5× 71 1.4× 13 924
Eduardo Mosqueira-Rey Spain 11 238 0.3× 58 0.3× 116 0.9× 17 0.3× 35 0.7× 31 669
Baharum Baharudin Malaysia 11 608 0.8× 207 1.1× 307 2.5× 8 0.1× 40 0.8× 43 1.0k
Nico Herzberg Germany 6 171 0.2× 66 0.4× 157 1.3× 16 0.3× 42 0.9× 10 546
Fred Hohman United States 12 415 0.6× 332 1.8× 120 1.0× 15 0.3× 51 1.0× 24 808
Mehul Bhatt Germany 14 270 0.4× 89 0.5× 90 0.7× 15 0.3× 141 2.9× 57 566

Countries citing papers authored by Michael Roth

Since Specialization
Citations

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

Fields of papers citing papers by Michael Roth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Roth

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Roth. A scholar is included among the top collaborators of Michael Roth 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 Michael Roth. Michael Roth 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.
Roth, Michael, et al.. (2021). Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–7. 11 indexed citations
2.
Roth, Michael, et al.. (2020). wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts. Language Resources and Evaluation. 5721–5729. 13 indexed citations
3.
Modi, Ashutosh, et al.. (2018). MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge. Language Resources and Evaluation. 19 indexed citations
4.
Khashabi, Daniel, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, & Dan Roth. (2018). Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. 252–262. 196 indexed citations
5.
Marcheggiani, Diego, Michael Roth, Ivan Titov, & Benjamin Van Durme. (2017). Semantic Role Labeling. Empirical Methods in Natural Language Processing. 1 indexed citations
6.
Roth, Michael, et al.. (2016). The Impact of User-driven Customization on the Development Process. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1357–1366. 2 indexed citations
7.
Roth, Michael, et al.. (2016). The hazard analysis profile: Linking safety analysis and SysML. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–7. 7 indexed citations
8.
Roth, Michael & Mirella Lapata. (2016). Neural Semantic Role Labeling with Dependency Path Embeddings. Edinburgh Research Explorer. 100 indexed citations
9.
Roth, Michael & Ewan Klein. (2015). Proceedings of the 1st Workshop on Language and Ontologies. 1 indexed citations
10.
Roth, Michael, et al.. (2014). VISUALIZATION OF INTERDISCIPLINARY FUNCTIONAL RELATIONS IN COMPLEX SYSTEMS. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1239–1248. 5 indexed citations
11.
Roth, Michael. (2013). On Meaning and Mental Representation: A Pragmatic Approach. Griffith Research Online (Griffith University, Queensland, Australia). 26. 1 indexed citations
12.
Roth, Michael & Anette Frank. (2012). Aligning Predicate Argument Structures in Monolingual Comparable Texts: A New Corpus for a New Task. Joint Conference on Lexical and Computational Semantics. 1. 218–227. 19 indexed citations
13.
Roth, Michael & Anette Frank. (2012). Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering. Empirical Methods in Natural Language Processing. 171–182. 10 indexed citations
14.
Roth, Michael & Anette Frank. (2010). Computing EM-based Alignments of Routes and Route Directions as a Basis for Natural Language Generation. International Conference on Computational Linguistics. 958–966. 5 indexed citations
15.
Roth, Michael, et al.. (2009). Zrównoważone stosowanie środków ochrony roślin. Problemy Inżynierii Rolniczej. 93–98. 6 indexed citations
16.
Roth, Michael & Sabine Schulte im Walde. (2008). Corpus Co-Occurrence, Dictionary and Wikipedia Entries as Resources for Semantic Relatedness Information. Language Resources and Evaluation. 5 indexed citations
17.
Roth, Michael, et al.. (2000). 3D-2D Registration of Curved Objects. 43(1). 19–41. 9 indexed citations
18.
Wall, Berend G. van der & Michael Roth. (1997). Free-Wake Analysis on Massively Parallel Computers and Validation with HART Test Data. elib (German Aerospace Center). 8 indexed citations
19.
Roth, Michael. (1994). "Too-Big-To-Fail" and the Stability of the Banking System: Some Insights From Foreign Countries. Business Economics. 29(4). 43. 8 indexed citations
20.
Roth, Michael, et al.. (1989). Algebras for nested relations. IEEE Data(base) Engineering Bulletin. 11(3). 39–47. 5 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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