Julia Kiseleva

1.2k citations
36 papers · 452 · h-index 10

Impact in

Papers in

    • Topic Modeling 12
    • Speech and dialogue systems 8
    • Natural Language Processing Techniques 5
    • Recommender Systems and Techniques 9
    • Information Retrieval and Search Behavior 8
    • Web Data Mining and Analysis 7

Julia Kiseleva

35 papers receiving 421 citations

Peers

Julia Kiseleva
Comparison fields: 5 of 48
  • Artificial Intelligence 306
  • Information Systems and Management 65
  • Information Systems 192
  • Computer Science Applications 45
  • Human-Computer Interaction 26
Replace Tim Donkers with:
Tim Donkers Germany
Jack Muramatsu United States
Grace Hui Yang United States
Fatih Gedikli Germany
Steve Fox United States
Saverio Perugini United States
Celso G. Camilo-Junior Brazil
Francesca Carmagnola Italy
Mohammed Al Achhab Morocco
Michaela Iorga United States
Julia Kiseleva relative to Tim Donkers Germany Tim Donkers's profile →
Citations per field
00.5×10.5×
Tim Donkers · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Julia Kiseleva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Kiseleva Line = papers co-authored together Julia Kiseleva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 201663
3 202137
4 201634
5 201827
6 201922
7 202013
8 201312
9 202011
10 201710
11
Overview of the TREC 2016 Contextual Suggestion Track
20179
12 20159
13 20139
14 20148
15 20218
16 20188
17 20237
18 20157
19 20167
20 20216

About Julia Kiseleva

Julia Kiseleva is a scholar working on Artificial Intelligence, Information Systems, Information Systems and Management, Signal Processing and Computer Science Applications, having authored 36 papers that have together received 452 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Recommender Systems and Techniques (9 papers), Speech and dialogue systems (8 papers), Information Retrieval and Search Behavior (8 papers), Web Data Mining and Analysis (7 papers), Natural Language Processing Techniques (5 papers), Personal Information Management and User Behavior (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (306 citations), Information Systems and Management (65 citations), Information Systems (192 citations), Computer Science Applications (45 citations) and Human-Computer Interaction (26 citations). Julia Kiseleva has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Ahmed Hassan Awadallah, Imed Zitouni, Aidan C. Crook, Tasos Anastasakos, Maarten de Rijke, Kyle Williams, Jiepu Jiang, Kyle Williams, Ziming Li and Aleksandr Chuklin. Their work appears in journals such as ACM Transactions on Information Systems, ACM SIGIR Forum, ACM Transactions on Computer-Human Interaction, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 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.

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