Verena Rieser

3.3k total citations
92 papers, 1.5k citations indexed

About

Verena Rieser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Verena Rieser has authored 92 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Verena Rieser's work include Topic Modeling (51 papers), Speech and dialogue systems (47 papers) and Natural Language Processing Techniques (30 papers). Verena Rieser is often cited by papers focused on Topic Modeling (51 papers), Speech and dialogue systems (47 papers) and Natural Language Processing Techniques (30 papers). Verena Rieser collaborates with scholars based in United Kingdom, Germany and United States. Verena Rieser's co-authors include Oliver Lemon, Eshrag Refaee, Ondřej Dušek, Jekaterina Novikova, Emanuele Bastianelli, Derek T. Robinson, Paweł Świętojański, Mark Rounsevell, Dave Murray-Rust and Dimitra Gkatzia and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Environmental Modelling & Software.

In The Last Decade

Verena Rieser

89 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verena Rieser United Kingdom 22 1.2k 156 132 92 82 92 1.5k
Madelyn Glymour United States 4 480 0.4× 134 0.9× 33 0.3× 75 0.8× 22 0.3× 5 1.1k
Annavarapu Chandra Sekhara Rao India 7 505 0.4× 52 0.3× 41 0.3× 107 1.2× 46 0.6× 12 795
Yixuan Zhang China 13 247 0.2× 168 1.1× 46 0.3× 91 1.0× 30 0.4× 62 703
Hien Nguyen United States 17 341 0.3× 85 0.5× 65 0.5× 156 1.7× 13 0.2× 88 1.0k
Bert Bredeweg Netherlands 18 541 0.4× 20 0.1× 94 0.7× 88 1.0× 43 0.5× 111 1.2k
Lace Padilla United States 18 236 0.2× 444 2.8× 99 0.8× 37 0.4× 43 0.5× 43 1.0k
Felipe Bravo-Márquez Chile 17 1.2k 1.0× 53 0.3× 198 1.5× 309 3.4× 12 0.1× 41 1.5k
Rebecca Strachan United Kingdom 15 295 0.2× 60 0.4× 40 0.3× 136 1.5× 13 0.2× 56 942
Valerio Basile Italy 22 1.8k 1.5× 123 0.8× 219 1.7× 316 3.4× 8 0.1× 76 2.0k
Firoj Alam Qatar 21 1.1k 0.9× 125 0.8× 82 0.6× 182 2.0× 32 0.4× 87 1.6k

Countries citing papers authored by Verena Rieser

Since Specialization
Citations

This map shows the geographic impact of Verena Rieser'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 Verena Rieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Rieser more than expected).

Fields of papers citing papers by Verena Rieser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verena Rieser. 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 Verena Rieser. The network helps show where Verena Rieser may publish in the future.

Co-authorship network of co-authors of Verena Rieser

This figure shows the co-authorship network connecting the top 25 collaborators of Verena Rieser. A scholar is included among the top collaborators of Verena Rieser 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 Verena Rieser. Verena Rieser 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.
2.
Weidinger, Laura, et al.. (2024). All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 13–26. 5 indexed citations
3.
Abercrombie, Gavin, et al.. (2024). Understanding Counterspeech for Online Harm Mitigation. SHILAP Revista de lepidopterología. 10(1). 1 indexed citations
4.
Weidinger, Laura, John W. Mellor, Nahema Marchal, et al.. (2024). STAR: SocioTechnical Approach to Red Teaming Language Models. 21516–21532.
5.
Abercrombie, Gavin, Valerio Basile, Tommaso Fornaciari, et al.. (2023). SemEval-2023 Task 11: Learning with Disagreements (LeWiDi). 2304–2318. 20 indexed citations
6.
Cabezudo, Marco Antonio Sobrevilla, et al.. (2023). The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering. 947–959. 10 indexed citations
7.
Abbate, Janet, et al.. (2023). ‘I wrote my first piece of code at seven’: women share highs and lows in computer science for Ada Lovelace Day. Nature. 622(7982). 238–241. 1 indexed citations
8.
Abercrombie, Gavin, Shannon Spruit, Dirk Hovy, et al.. (2022). Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design. 39–52. 6 indexed citations
9.
Rieser, Verena, et al.. (2021). What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8932–8939. 10 indexed citations
10.
Belz, Anja, Miruna Clinciu, Dimitra Gkatzia, et al.. (2020). Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions. 169–182. 74 indexed citations
11.
Bastianelli, Emanuele, Andrea Vanzo, Paweł Świętojański, & Verena Rieser. (2020). SLURP: A Spoken Language Understanding Resource Package. 7252–7262. 85 indexed citations
12.
Rieser, Verena, et al.. (2018). #MeToo Alexa: How Conversational Systems Respond to Sexual Harassment. 7–14. 52 indexed citations
13.
Dušek, Ondřej, Jekaterina Novikova, & Verena Rieser. (2017). Referenceless Quality Estimation for Natural Language Generation. arXiv (Cornell University). 6 indexed citations
14.
Lemon, Oliver & Verena Rieser. (2016). Natural Language Generation enhances human decision-making with uncertain information.. Research Output (Edinburgh Napier University). 27 indexed citations
15.
Gkatzia, Dimitra, Verena Rieser, & Oliver Lemon. (2016). How to Talk to Strangers: Minimising Regret when Generating Medical Reports for Unknown Users. 1 indexed citations
16.
Rieser, Verena, Simon Keizer, Oliver Lemon, & Xingkun Liu. (2011). Adaptive Information Presentation for Spoken Dialogue Systems: Evaluation with real users. 102–109. 12 indexed citations
17.
Rieser, Verena, Oliver Lemon, & Xingkun Liu. (2010). Optimising Information Presentation for Spoken Dialogue Systems. Meeting of the Association for Computational Linguistics. 1009–1018. 27 indexed citations
18.
Rieser, Verena & Oliver Lemon. (2008). Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation. Meeting of the Association for Computational Linguistics. 638–646. 44 indexed citations
19.
Rieser, Verena & Oliver Lemon. (2008). Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation. Language Resources and Evaluation. 11 indexed citations
20.
Kruijff‐Korbayová, Ivana, Nate Blaylock, Verena Rieser, et al.. (2005). An Experiment Setup for Collecting Data for Adaptive Output Planning in a Multimodal Dialogue System. 10 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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