Michael Roth

2.3k citations
90 papers · 1.0k · h-index 16

Impact in

Papers in

    • Natural Language Processing Techniques 29
    • Topic Modeling 27
    • Speech and dialogue systems 7
    • Semantic Web and Ontologies 6
    • Service-Oriented Architecture and Web Services 8

Michael Roth

76 papers receiving 900 citations

Peers

Michael Roth
Comparison fields: 5 of 97
  • Artificial Intelligence 725
  • Computer Vision and Pattern Recognition 183
  • Software 31
  • Management of Technology and Innovation 47
  • Information Systems 125
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michael Roth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Roth Line = papers co-authored together Michael Roth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2016100
3 201774
4 201855
5 200837
6 201436
7 201527
8 201325
9 201723
10
Aligning Predicate Argument Structures in Monolingual Comparable Texts: A New Corpus for a New Task
201219
11
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
201819
12 201519
13 200419
14 200818
15 201818
16 201417
17
wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts
202013
18
Predicate-specific Annotations for Implicit Role Binding: Corpus Annotation, Data Analysis and Evaluation Experiments
201313
19 202111
20
Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering
201210

About Michael Roth

Michael Roth is a scholar working on Artificial Intelligence, Information Systems, Mechanical Engineering, Management of Technology and Innovation and Computer Networks and Communications, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (29 papers), Topic Modeling (27 papers), Product Development and Customization (12 papers), Service-Oriented Architecture and Web Services (8 papers), Design Education and Practice (8 papers), Manufacturing Process and Optimization (7 papers), Speech and dialogue systems (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (725 citations), Computer Vision and Pattern Recognition (183 citations), Software (31 citations), Management of Technology and Innovation (47 citations) and Information Systems (125 citations). Michael Roth has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Mirella Lapata, Shyam Upadhyay, Snigdha Chaturvedi, Daniel Khashabi, Dan Roth, Anette Frank, Kristian Woodsend, Sabine Schulte im Walde, Udo Lindemann and Stefan Thater. Their work appears in journals such as Language Resources and Evaluation, Computational Linguistics, Medical Physics, Transactions of the Association for Computational Linguistics and Journal of Clinical Psychology.

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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