Andreas Both
- General Social Sciences top 0.05%
- Artificial Intelligence top 2%
- Topic Modeling 13
- Semantic Web and Ontologies 10
- Natural Language Processing Techniques 10
- Advanced Graph Neural Networks 3
- Advanced Software Engineering Methodologies 2
- Communication top 5%
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 4
- Health Informatics top 10%
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- Data Quality and Management 3
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- Geographic Information Systems Studies 2
Andreas Both
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- General Social Sciences 250
- Artificial Intelligence 721
- Communication 109
- Information Systems 258
- Health Informatics 12
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 | |
| 11 | Augmentation-based Answer Type Classification of the SMART dataset. | 2020 | 3 |
| 12 | 2018 | 33 | |
| 13 | From TMR to turtle: predicting result relevance from mouse cursor interactions in web search | 2015 | 1 |
| 14 | 2015 | 5 | |
| 15 | Computing Geo-Spatial Motives from Linked Data for Search-driven Applications. | 2015 | 0 |
| 16 | Exploring the Space of Topic Coherence Measuresbreakdown → | 2015 | 1240 |
| 17 | Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format | 2014 | 31 |
| 18 | 2013 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2008 | 10 |
About Andreas Both
Andreas Both is a scholar working on Artificial Intelligence, Computer Science Applications, Geography, Planning and Development, Information Systems and Management Information Systems, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Semantic Web and Ontologies (10 papers), Natural Language Processing Techniques (10 papers), Service-Oriented Architecture and Web Services (4 papers), Data Quality and Management (3 papers), Advanced Graph Neural Networks (3 papers), Geographic Information Systems Studies (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in General Social Sciences (250 citations), Artificial Intelligence (721 citations), Communication (109 citations), Information Systems (258 citations) and Health Informatics (12 citations). Andreas Both has collaborated with scholars based in Germany, France and Russia. Frequent co-authors include Michael Röder, Alexander Hinneburg, Ricardo Usbeck, Wolf Zimmermann, Dennis Diefenbach, Sebastian Hellmann, Dániel Gerber, Axel-Cyrille Ngonga Ngomo, Kuldeep Singh and Sören Auer. Their work appears in journals such as Semantic Web, Service Oriented Computing and Applications, Language Resources and Evaluation, Knowledge and Information Systems and Journal of Web Engineering.
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.