Andreas Both
Impact in
- General Social Sciences top 0.05%
- Computational and Text Analysis Methods
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
Papers in
-
- Topic Modeling 29
- Semantic Web and Ontologies 25
- Natural Language Processing Techniques 20
- Advanced Graph Neural Networks 8
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- Service-Oriented Architecture and Web Services 8
- Web Data Mining and Analysis 5
- Co-authors
- Michael Röder (4 shared papers)Alexander Hinneburg (1 shared paper)Ricardo Usbeck (8 shared papers)Dennis Diefenbach (10 shared papers)Dániel Gerber (3 shared papers)Axel-Cyrille Ngonga Ngomo (9 shared papers)Sören Auer (3 shared papers)Kuldeep Singh (6 shared papers)
In The Last Decade
Andreas Both
50 papers receiving 1.9k citations
Andreas Both's Hit Papers
Peers
Comparison fields: 5 of 130
- General Social Sciences 278
- Artificial Intelligence 1.2k
- Information Systems 384
- Management Science and Operations Research 204
- Communication 112
Countries citing papers authored by Andreas Both
This map shows the geographic impact of Andreas Both'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 Andreas Both with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Both more than expected).
Fields of papers citing papers by Andreas Both
This network shows the impact of papers produced by Andreas Both. 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 Andreas Both. The network helps show where Andreas Both may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Both, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exploring the Space of Topic Coherence Measures Hit paper breakdown → | 2015 | 1414 |
| 2 | 2014 | 124 | |
| 3 | Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format | 2014 | 42 |
| 4 | 2018 | 42 | |
| 5 | 2016 | 39 | |
| 6 | 2022 | 29 | |
| 7 | 2020 | 27 | |
| 8 | 2014 | 26 | |
| 9 | 2014 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2023 | 20 | |
| 12 | 2017 | 15 | |
| 13 | 2008 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2008 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2022 | 8 | |
| 20 | 2016 | 8 |
About Andreas Both
Andreas Both is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Human-Computer Interaction and Computer Networks and Communications, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Semantic Web and Ontologies (25 papers), Natural Language Processing Techniques (20 papers), Service-Oriented Architecture and Web Services (8 papers), Advanced Graph Neural Networks (8 papers), Data Quality and Management (6 papers), Web Data Mining and Analysis (5 papers) and Usability and User Interface Design (5 papers). The work is most often cited by research in General Social Sciences (278 citations), Artificial Intelligence (1.2k citations), Information Systems (384 citations), Management Science and Operations Research (204 citations) and Communication (112 citations). Andreas Both has collaborated with scholars based in Germany, France and Russia. Frequent co-authors include Michael Röder, Alexander Hinneburg, Ricardo Usbeck, Dennis Diefenbach, Dániel Gerber, Axel-Cyrille Ngonga Ngomo, Sören Auer, Kuldeep Singh, Maximilian Speicher and Wolf Zimmermann. Their work appears in journals such as Lecture notes in computer science, Semantic Web, Service Oriented Computing and Applications, Language Resources and Evaluation and Knowledge and Information Systems.
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.