Anne Schuth

1.1k total citations
28 papers, 463 citations indexed

About

Anne Schuth is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Anne Schuth has authored 28 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 13 papers in Artificial Intelligence and 7 papers in Computer Science Applications. Recurrent topics in Anne Schuth's work include Information Retrieval and Search Behavior (13 papers), Topic Modeling (8 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Anne Schuth is often cited by papers focused on Information Retrieval and Search Behavior (13 papers), Topic Modeling (8 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Anne Schuth collaborates with scholars based in Netherlands, United Kingdom and United States. Anne Schuth's co-authors include Maarten de Rijke, M. Marx, Shimon Whiteson, Martijn Spitters, Katja Hofmann, Harrie Oosterhuis, Aleksandr Chuklin, Filip Radlinski, Krisztian Balog and Ke Zhou and has published in prestigious journals such as ACM Transactions on Information Systems, Digital Journalism and ACM SIGIR Forum.

In The Last Decade

Anne Schuth

26 papers receiving 427 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anne Schuth Netherlands 12 224 195 107 72 71 28 463
Daniel Kluver United States 11 197 0.9× 177 0.9× 90 0.8× 43 0.6× 39 0.5× 14 431
Ke Zhou United Kingdom 11 231 1.0× 137 0.7× 77 0.7× 39 0.5× 26 0.4× 42 425
Sergej Zerr Germany 10 130 0.6× 240 1.2× 60 0.6× 83 1.2× 22 0.3× 27 396
Marc Spaniol Germany 11 185 0.8× 146 0.7× 42 0.4× 39 0.5× 27 0.4× 50 361
Giannis Tsakonas Greece 7 174 0.8× 86 0.4× 47 0.4× 44 0.6× 39 0.5× 31 354
Steve Fox United States 5 322 1.4× 112 0.6× 48 0.4× 65 0.9× 19 0.3× 9 456
Sergiu Chelaru Germany 6 110 0.5× 172 0.9× 109 1.0× 31 0.4× 59 0.8× 8 329
Manos Tsagkias Netherlands 14 285 1.3× 404 2.1× 84 0.8× 43 0.6× 93 1.3× 30 617
Besnik Fetahu Germany 13 80 0.4× 450 2.3× 53 0.5× 110 1.5× 39 0.5× 41 566
Daan Odijk Netherlands 9 120 0.5× 151 0.8× 75 0.7× 16 0.2× 66 0.9× 25 345

Countries citing papers authored by Anne Schuth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anne Schuth

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Schuth. A scholar is included among the top collaborators of Anne Schuth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne Schuth. Anne Schuth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schuth, Anne, et al.. (2023). When the Music Stops: Tip-of-the-Tongue Retrieval for Music. UvA-DARE (University of Amsterdam). 2506–2510. 3 indexed citations
2.
Loni, Babak, et al.. (2019). Personalized Push Notifications for News Recommendation.. Conference on Recommender Systems. 36–45. 2 indexed citations
3.
Odijk, Daan & Anne Schuth. (2017). Online Learning to Rank for Recommender Systems. 348–348. 3 indexed citations
4.
Schuth, Anne, Harrie Oosterhuis, Shimon Whiteson, & Maarten de Rijke. (2016). Multileave Gradient Descent for Fast Online Learning to Rank. UvA-DARE (University of Amsterdam). 457–466. 42 indexed citations
5.
Balog, Krisztian, et al.. (2016). Overview of the TREC 2016 Open Search track. 3 indexed citations
6.
Balog, Krisztian, et al.. (2016). Overview of the TREC 2016 Open Search track: Academic Search Edition. VUBIR (Vrije Universiteit Brussel). 1 indexed citations
7.
Schuth, Anne, et al.. (2015). Probabilistic Multileave for Online Retrieval Evaluation. UvA-DARE (University of Amsterdam). 955–958. 11 indexed citations
8.
Schuth, Anne, et al.. (2015). Optimizing Base Rankers Using Clicks A Case Study using BM25. 1 indexed citations
9.
Schuth, Anne, Katja Hofmann, & Filip Radlinski. (2015). Predicting Search Satisfaction Metrics with Interleaved Comparisons. UvA-DARE (University of Amsterdam). 463–472. 19 indexed citations
10.
Schuth, Anne, et al.. (2014). Multileaved Comparisons for Fast Online Evaluation. UvA-DARE (University of Amsterdam). 71–80. 27 indexed citations
11.
Hofmann, Katja, Shimon Whiteson, Anne Schuth, & Maarten de Rijke. (2014). "Learning to rank for information retrieval from user interactions" by K. Hofmann, S. Whiteson, A. Schuth, and M. de Rijke with Martin Vesely as coordinator. ACM SIGWEB Newsletter. 2014(Spring). 1–7. 5 indexed citations
12.
Chuklin, Aleksandr, et al.. (2014). Evaluating intuitiveness of vertical-aware click models. UvA-DARE (University of Amsterdam). 1075–1078. 5 indexed citations
13.
Balog, Krisztian, Liadh Kelly, & Anne Schuth. (2014). Head First. UvA-DARE (University of Amsterdam). 1815–1818. 12 indexed citations
14.
Schuth, Anne, Katja Hofmann, Shimon Whiteson, & Maarten de Rijke. (2013). Lerot. UvA-DARE (University of Amsterdam). 23–26. 21 indexed citations
15.
Chuklin, Aleksandr, Anne Schuth, Katja Hofmann, Pavel Serdyukov, & Maarten de Rijke. (2013). Evaluating aggregated search using interleaving. UvA-DARE (University of Amsterdam). 669–678. 14 indexed citations
16.
Hofmann, Katja, Anne Schuth, Shimon Whiteson, & Maarten de Rijke. (2013). Reusing historical interaction data for faster online learning to rank for IR. UvA-DARE (University of Amsterdam). 183–192. 63 indexed citations
17.
Rijke, Maarten de, et al.. (2012). From Sentiment to Reputation.. 1 indexed citations
18.
Rijke, Maarten de, et al.. (2012). From Sentiment to Reputation: ILPS at RepLab 2012. UvA-DARE (University of Amsterdam). 1178(1178). 1 indexed citations
19.
Marx, M. & Anne Schuth. (2010). DutchParl: A corpus of parliamentary documents in Dutch. UvA-DARE (University of Amsterdam). 2 indexed citations
20.
Schuth, Anne, et al.. (2009). Helping people to choose for whom to vote. a web information system for the 2009 European elections. UvA-DARE (University of Amsterdam). 2095–2096. 1 indexed citations

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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