Anne Schuth
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Communication top 10%
Papers in
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- Information Retrieval and Search Behavior 13
- Expert finding and Q&A systems 5
- Web Data Mining and Analysis 5
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- Topic Modeling 8
- Natural Language Processing Techniques 4
- Semantic Web and Ontologies 4
- Advanced Text Analysis Techniques 3
- Co-authors
- Maarten de Rijke (13 shared papers)M. Marx (6 shared papers)Shimon Whiteson (6 shared papers)Martijn Spitters (1 shared paper)Katja Hofmann (5 shared papers)Harrie Oosterhuis (2 shared papers)Aleksandr Chuklin (3 shared papers)Filip Radlinski (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)ACM SIGIR Forum (1 paper)Digital Journalism (1 paper)VUBIR (Vrije Universiteit Brussel) (1 paper)UvA-DARE (University of Amsterdam) (16 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Anne Schuth
26 papers receiving 427 citations
Peers
Comparison fields: 5 of 56
- Computer Science Applications 72
- Communication 71
- Information Systems 224
- Artificial Intelligence 195
- Management Science and Operations Research 69
Countries citing papers authored by Anne Schuth
This map shows the geographic impact of Anne Schuth'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 Anne Schuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Schuth more than expected).
Fields of papers citing papers by Anne Schuth
This network shows the impact of papers produced by Anne Schuth. 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 Anne Schuth. The network helps show where Anne Schuth may publish in the future.
Co-authors
The 21 scholars most cited alongside Anne Schuth, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 141 | |
| 2 | 2013 | 63 | |
| 3 | 2016 | 42 | |
| 4 | 2007 | 39 | |
| 5 | 2014 | 27 | |
| 6 | 2013 | 21 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 15 | |
| 9 | 2013 | 14 | |
| 10 | Overview of the INEX 2012 Linked Data Track | 2012 | 14 |
| 11 | 2014 | 12 | |
| 12 | 2015 | 11 | |
| 13 | DutchParl. The Parliamentary Documents in Dutch | 2010 | 10 |
| 14 | 2014 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2017 | 3 | |
| 19 | Overview of the TREC 2016 Open Search track | 2016 | 3 |
| 20 | 2016 | 3 |
About Anne Schuth
Anne Schuth is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 463 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (13 papers), Topic Modeling (8 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Expert finding and Q&A systems (5 papers), Web Data Mining and Analysis (5 papers), Natural Language Processing Techniques (4 papers), Semantic Web and Ontologies (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Computer Science Applications (72 citations), Communication (71 citations), Information Systems (224 citations), Artificial Intelligence (195 citations) and Management Science and Operations Research (69 citations). Anne Schuth has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Maarten de Rijke, M. Marx, Shimon Whiteson, Martijn Spitters, Katja Hofmann, Harrie Oosterhuis, Aleksandr Chuklin, Filip Radlinski, Ke Zhou and Krisztian Balog. Their work appears in journals such as ACM Transactions on Information Systems, ACM SIGIR Forum, Digital Journalism, VUBIR (Vrije Universiteit Brussel) and UvA-DARE (University of Amsterdam).
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.