Denis Savenkov

418 total citations
15 papers, 214 citations indexed

About

Denis Savenkov is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Denis Savenkov has authored 15 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Computer Science Applications. Recurrent topics in Denis Savenkov's work include Expert finding and Q&A systems (10 papers), Topic Modeling (8 papers) and Information Retrieval and Search Behavior (4 papers). Denis Savenkov is often cited by papers focused on Expert finding and Q&A systems (10 papers), Topic Modeling (8 papers) and Information Retrieval and Search Behavior (4 papers). Denis Savenkov collaborates with scholars based in United States, Ukraine and Canada. Denis Savenkov's co-authors include Eugene Agichtein, Charles L. A. Clarke, Alexandra Vtyurina, Pavel Braslavski, Qiaoling Liu, Dmitry Lagun, Jeff Dalton, Qi Guo, Wei-Lwun Lu and Dan Pelleg and has published in prestigious journals such as Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, Text REtrieval Conference and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Denis Savenkov

13 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis Savenkov United States 8 185 83 34 25 18 15 214
Michael Völske Germany 9 189 1.0× 89 1.1× 12 0.4× 16 0.6× 5 0.3× 22 234
Nobal B. Niraula United States 8 218 1.2× 57 0.7× 22 0.6× 12 0.5× 5 0.3× 35 257
Pavel Braslavski Russia 9 180 1.0× 80 1.0× 16 0.5× 20 0.8× 6 0.3× 43 260
Dmitry Ustalov Russia 7 111 0.6× 19 0.2× 30 0.9× 40 1.6× 9 0.5× 32 174
Aidan Finn Ireland 4 215 1.2× 138 1.7× 8 0.2× 18 0.7× 8 0.4× 7 270
Sebastian Ryszard Kruk Ireland 7 122 0.7× 124 1.5× 28 0.8× 18 0.7× 9 0.5× 24 206
Regina Motz Uruguay 6 50 0.3× 65 0.8× 59 1.7× 16 0.6× 7 0.4× 59 152
Megha Srivastava United States 4 118 0.6× 48 0.6× 21 0.6× 9 0.4× 6 0.3× 9 214
Xinhua Zhu China 12 208 1.1× 45 0.5× 37 1.1× 14 0.6× 3 0.2× 33 268
Allan Third United Kingdom 10 108 0.6× 88 1.1× 18 0.5× 10 0.4× 11 0.6× 31 204

Countries citing papers authored by Denis Savenkov

Since Specialization
Citations

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

Fields of papers citing papers by Denis Savenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Savenkov

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Savenkov. A scholar is included among the top collaborators of Denis Savenkov 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 Denis Savenkov. Denis Savenkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Bodyanskiy, Yevgeniy & Denis Savenkov. (2024). ENSEMBLE OF SIMPLE SPIKING NEURAL NETWORKS AS A CONCEPT DRIFT DETECTOR. Radio Electronics Computer Science Control. 85–91.
3.
Pelleg, Dan, Denis Savenkov, & Eugene Agichtein. (2021). Touch Screens for Touchy Issues: Analysis of Accessing Sensitive Information from Mobile Devices. Proceedings of the International AAAI Conference on Web and Social Media. 7(1). 496–505. 2 indexed citations
4.
Savenkov, Denis & Eugene Agichtein. (2017). EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering. 299–304. 9 indexed citations
5.
Vtyurina, Alexandra, Denis Savenkov, Eugene Agichtein, & Charles L. A. Clarke. (2017). Exploring Conversational Search With Humans, Assistants, and Wizards. 2187–2193. 69 indexed citations
6.
Braslavski, Pavel, et al.. (2017). What Do You Mean Exactly?. 345–348. 43 indexed citations
7.
Savenkov, Denis & Eugene Agichtein. (2016). Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering.. Text REtrieval Conference. 1 indexed citations
8.
Savenkov, Denis, et al.. (2016). Crowdsourcing for (almost) Real-time Question Answering. 8–14. 2 indexed citations
9.
Savenkov, Denis & Eugene Agichtein. (2016). When a Knowledge Base Is Not Enough. 235–244. 38 indexed citations
10.
Savenkov, Denis & Eugene Agichtein. (2016). CRQA: Crowd-Powered Real-Time Automatic Question Answering System. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 4. 189–198. 14 indexed citations
11.
Savenkov, Denis. (2015). Ranking Answers and Web Passages for Non-factoid Question Answering: Emory University at TREC LiveQA.. Text REtrieval Conference. 5 indexed citations
12.
Savenkov, Denis, Wei-Lwun Lu, Jeff Dalton, & Eugene Agichtein. (2015). Relation Extraction from Community Generated Question-Answer Pairs. 96–102. 8 indexed citations
13.
Savenkov, Denis & Eugene Agichtein. (2014). To hint or not. 1115–1118. 5 indexed citations
14.
Savenkov, Denis, Dmitry Lagun, & Qiaoling Liu. (2013). Search engine switching detection based on user personal preferences and behavior patterns. 33–42. 10 indexed citations
15.
Guo, Qi, Dmitry Lagun, Denis Savenkov, & Qiaoling Liu. (2012). Improving Relevance Prediction by Addressing Biases and Sparsity in Web Search Click Data. 8 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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