Andreas Both
Impact in
- General Social Sciences top 0.1%
- Computational and Text Analysis Methods
- Artificial Intelligence top 1%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
Papers in
-
- Semantic Web and Ontologies 34
- Topic Modeling 33
- Natural Language Processing Techniques 15
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- Service-Oriented Architecture and Web Services 5
- Information Retrieval and Search Behavior 4
- Co-authors
- Michael Röder (4 shared papers)Alexander Hinneburg (1 shared paper)Dennis Diefenbach (12 shared papers)Ricardo Usbeck (8 shared papers)Axel-Cyrille Ngonga Ngomo (11 shared papers)Sören Auer (5 shared papers)Kamal Singh (3 shared papers)Pierre Maret (3 shared papers)
In The Last Decade
Andreas Both
53 papers receiving 2.3k citations
Andreas Both's Hit Papers
Peers
Comparison fields: 5 of 120
- General Social Sciences 256
- Artificial Intelligence 1.5k
- Statistics, Probability and Uncertainty 106
- Communication 110
- Information Systems 296
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 64 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 | 1548 |
| 2 | 2015 | 146 | |
| 3 | 2014 | 135 | |
| 4 | 2019 | 87 | |
| 5 | 2018 | 45 | |
| 6 | Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format | 2014 | 44 |
| 7 | 2016 | 43 | |
| 8 | 2022 | 35 | |
| 9 | 2020 | 28 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 2023 | 23 | |
| 14 | 2016 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2023 | 14 | |
| 17 | 2008 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2008 | 11 |
About Andreas Both
Andreas Both is a scholar working on Artificial Intelligence, Information Systems, Human-Computer Interaction, Geography, Planning and Development and Computational Theory and Mathematics, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (34 papers), Topic Modeling (33 papers), Natural Language Processing Techniques (15 papers), Usability and User Interface Design (6 papers), Service-Oriented Architecture and Web Services (5 papers), Information Retrieval and Search Behavior (4 papers), Formal Methods in Verification (3 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in General Social Sciences (256 citations), Artificial Intelligence (1.5k citations), Statistics, Probability and Uncertainty (106 citations), Communication (110 citations) and Information Systems (296 citations). Andreas Both has collaborated with scholars based in Germany, France and Russia. Frequent co-authors include Michael Röder, Alexander Hinneburg, Dennis Diefenbach, Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Sören Auer, Kamal Singh, Pierre Maret, Kuldeep Singh and Maximilian Speicher. Their work appears in journals such as Lecture notes in computer science, Semantic Web, Language Resources and Evaluation, Service Oriented Computing and Applications 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.