Julia Kiseleva

1.2k total citations
36 papers, 452 citations indexed

About

Julia Kiseleva is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Julia Kiseleva has authored 36 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Information Systems and 5 papers in Information Systems and Management. Recurrent topics in Julia Kiseleva's work include Topic Modeling (12 papers), Recommender Systems and Techniques (9 papers) and Speech and dialogue systems (8 papers). Julia Kiseleva is often cited by papers focused on Topic Modeling (12 papers), Recommender Systems and Techniques (9 papers) and Speech and dialogue systems (8 papers). Julia Kiseleva collaborates with scholars based in Netherlands, United States and United Kingdom. Julia Kiseleva's co-authors include Ahmed Hassan Awadallah, Imed Zitouni, Aidan C. Crook, Tasos Anastasakos, Maarten de Rijke, Kyle Williams, Kyle Williams, Jiepu Jiang, Ziming Li and Mikhail Burtsev and has published in prestigious journals such as ACM Transactions on Information Systems, ACM Transactions on Computer-Human Interaction and ACM SIGIR Forum.

In The Last Decade

Julia Kiseleva

35 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Kiseleva Netherlands 10 306 192 65 50 47 36 452
Tim Donkers Germany 8 292 1.0× 301 1.6× 22 0.3× 48 1.0× 93 2.0× 19 469
Grace Hui Yang United States 14 464 1.5× 344 1.8× 23 0.4× 67 1.3× 150 3.2× 75 725
Michelle P. Steves United States 12 116 0.4× 167 0.9× 23 0.4× 60 1.2× 25 0.5× 34 324
Jack Muramatsu United States 6 273 0.9× 357 1.9× 29 0.4× 58 1.2× 74 1.6× 8 534
Saverio Perugini United States 9 109 0.4× 163 0.8× 19 0.3× 35 0.7× 39 0.8× 31 275
Steve Fox United States 5 112 0.4× 322 1.7× 47 0.7× 48 1.0× 61 1.3× 9 456
Claudia Niederée Germany 13 374 1.2× 270 1.4× 40 0.6× 25 0.5× 71 1.5× 57 594
Fatih Gedikli Germany 7 214 0.7× 285 1.5× 30 0.5× 71 1.4× 99 2.1× 13 405
Sigalit Ur Israel 10 150 0.5× 335 1.7× 36 0.6× 56 1.1× 61 1.3× 10 489
Celso G. Camilo-Junior Brazil 9 104 0.3× 141 0.7× 13 0.2× 60 1.2× 29 0.6× 37 308

Countries citing papers authored by Julia Kiseleva

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kiseleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Kiseleva

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Kiseleva. A scholar is included among the top collaborators of Julia Kiseleva 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 Julia Kiseleva. Julia Kiseleva 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.
Arabzadeh, Negar, Nikhil Mehta, Qingyun Wu, et al.. (2024). Assessing and Verifying Task Utility in LLM-Powered Applications. 21868–21888. 4 indexed citations
2.
Williams, Alex C., Shamsi T. Iqbal, Julia Kiseleva, & Ryen W. White. (2023). Managing Tasks across the Work–Life Boundary: Opportunities, Challenges, and Directions. ACM Transactions on Computer-Human Interaction. 30(3). 1–31. 7 indexed citations
3.
Arabzadeh, Negar, Julia Kiseleva, Yang Liu, et al.. (2023). PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. 331–342. 1 indexed citations
4.
Aliannejadi, Mohammad, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, & Mikhail Burtsev. (2021). Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4473–4484. 37 indexed citations
5.
Hauff, Claudia, Julia Kiseleva, Mark Sanderson, Hamed Zamani, & Yongfeng Zhang. (2021). Conversational Search and Recommendation: Introduction to the Special Issue. ACM Transactions on Information Systems. 39(4). 1–6. 6 indexed citations
6.
Zhang, Chuxu, Julia Kiseleva, Sunil Kumar Jauhar, & Ryen W. White. (2021). Grounded Task Prioritization with Context-Aware Sequential Ranking. ACM Transactions on Information Systems. 40(4). 1–28. 3 indexed citations
7.
Li, Ziming, Sung‐Jin Lee, Baolin Peng, et al.. (2020). Guided Dialogue Policy Learning without Adversarial Learning in the Loop. UvA-DARE (University of Amsterdam). 2308–2317. 11 indexed citations
8.
Li, Ziming, Julia Kiseleva, & Maarten de Rijke. (2020). Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. UvA-DARE (University of Amsterdam). 3537–3546. 13 indexed citations
9.
Li, Ziming, Julia Kiseleva, & Maarten de Rijke. (2019). Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6722–6729. 22 indexed citations
10.
Spina, Damiano, Jaime Arguello, Hideo Joho, Julia Kiseleva, & Filip Radlinski. (2019). CAIR'18. ACM SIGIR Forum. 52(2). 111–116. 5 indexed citations
11.
Clarke, Charles L. A., et al.. (2017). Overview of the TREC 2016 Contextual Suggestion Track. Data Archiving and Networked Services (DANS). 9 indexed citations
12.
Burtsev, Mikhail, Aleksandr Chuklin, Julia Kiseleva, & Alexey Borisov. (2017). Search-Oriented Conversational AI (SCAI). 333–334. 10 indexed citations
13.
Kiseleva, Julia, Kyle Williams, Ahmed Hassan Awadallah, et al.. (2016). Predicting User Satisfaction with Intelligent Assistants. 45–54. 63 indexed citations
14.
Clarke, Charles L. A., et al.. (2016). Test Collection Building and Maintenance in Dynamic Domains. Data Archiving and Networked Services (DANS). 2 indexed citations
15.
Спирин, Н. А., et al.. (2015). Relevance-aware Filtering of Tuples Sorted by an Attribute Value via Direct Optimization of Search Quality Metrics. TU/e Research Portal. 979–982. 3 indexed citations
16.
Clarke, Charles L. A., et al.. (2015). On the Reusability of Open Test Collections. UvA-DARE (University of Amsterdam). 827–830. 7 indexed citations
17.
Kiseleva, Julia, et al.. (2015). Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences. UvA-DARE (University of Amsterdam). 1097–1100. 9 indexed citations
18.
Kiseleva, Julia, et al.. (2014). Modelling and Detecting Changes in User Satisfaction. TU/e Research Portal. 1449–1458. 8 indexed citations
19.
Kiseleva, Julia. (2013). Context mining and integration into predictive web analytics. 383–388. 3 indexed citations
20.
Kiseleva, Julia, Qi Guo, Eugene Agichtein, Daniel Billsus, & Wei Chai. (2010). Unsupervised query segmentation using click data. TU/e Research Portal. 1131–1132. 3 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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