Ilya Markov

1.2k total citations
31 papers, 533 citations indexed

About

Ilya Markov is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ilya Markov has authored 31 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 13 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ilya Markov's work include Information Retrieval and Search Behavior (11 papers), Web Data Mining and Analysis (8 papers) and Recommender Systems and Techniques (7 papers). Ilya Markov is often cited by papers focused on Information Retrieval and Search Behavior (11 papers), Web Data Mining and Analysis (8 papers) and Recommender Systems and Techniques (7 papers). Ilya Markov collaborates with scholars based in Netherlands, Switzerland and Russia. Ilya Markov's co-authors include Maarten de Rijke, Aleksandr Chuklin, Alexey Borisov, Pavel Serdyukov, Fábio Crestani, Rolf Jagerman, Avi Arampatzis, Xiang Zhao, Hongzhi Yin and Yifan Chen and has published in prestigious journals such as Journal of Machine Learning Research, ACM Transactions on Information Systems and ACM SIGIR Forum.

In The Last Decade

Ilya Markov

30 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilya Markov Netherlands	12	366	256	118	113	58	31	533
Justin Basilico United States	9	279 0.8×	181 0.7×	111 0.9×	94 0.8×	40 0.7×	14	432
Álvaro Barreiro Spain	14	317 0.9×	352 1.4×	95 0.8×	86 0.8×	58 1.0×	58	561
Aleksandr Chuklin Netherlands	11	284 0.8×	198 0.8×	79 0.7×	72 0.6×	32 0.6×	19	424
Bo Long United States	10	381 1.0×	304 1.2×	106 0.9×	107 0.9×	47 0.8×	21	506
Maheedhar Kolla Canada	5	465 1.3×	300 1.2×	138 1.2×	72 0.6×	76 1.3×	12	648
Balázs Hidasi Hungary	7	419 1.1×	288 1.1×	148 1.3×	113 1.0×	45 0.8×	14	488
Adith Swaminathan United States	11	382 1.0×	466 1.8×	84 0.7×	334 3.0×	81 1.4×	22	756
Zhuoye Ding China	13	429 1.2×	434 1.7×	132 1.1×	136 1.2×	58 1.0×	35	670
Jinmook Kim United States	7	296 0.8×	121 0.5×	85 0.7×	56 0.5×	55 0.9×	13	384
Paolo Tomeo Italy	8	257 0.7×	184 0.7×	63 0.5×	69 0.6×	44 0.8×	15	315

Countries citing papers authored by Ilya Markov

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Markov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Markov

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

All Works

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20 of 20 papers shown

Markov, Ilya, et al.. (2022). ParClick: A Scalable Algorithm for EM-based Click Models. Proceedings of the ACM Web Conference 2022. 392–400. 1 indexed citations

Faghri, Fartash, et al.. (2021). NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization. Journal of Machine Learning Research. 22(114). 1–43. 4 indexed citations

Kveton, Branislav, Tor Lattimore, Ilya Markov, et al.. (2019). BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UvA-DARE (University of Amsterdam). 196–206. 1 indexed citations

Markov, Ilya & Maarten de Rijke. (2019). What Should We Teach in Information Retrieval?. ACM SIGIR Forum. 52(2). 19–39. 5 indexed citations

Kveton, Branislav, Tor Lattimore, Ilya Markov, et al.. (2018). BubbleRank: Safe Online Learning to Rerank.. arXiv (Cornell University). 1 indexed citations

Borisov, Alexey, et al.. (2018). A Click Sequence Model for Web Search. UvA-DARE (University of Amsterdam). 45–54. 39 indexed citations

Markov, Ilya, et al.. (2017). Evaluating and Analyzing Click Simulation in Web Search. UvA-DARE (University of Amsterdam). 281–284. 1 indexed citations

Markov, Ilya, Alexey Borisov, & Maarten de Rijke. (2017). Online Expectation-Maximization for Click Models. UvA-DARE (University of Amsterdam). 2195–2198. 2 indexed citations

Yamamoto, Takehiro, Yiqun Liu, Zhicheng Dou, et al.. (2016). Overview of the NTCIR-12 IMine-2 Task.. NTCIR. 12 indexed citations

10.

Borisov, Alexey, Ilya Markov, Maarten de Rijke, & Pavel Serdyukov. (2016). A Neural Click Model for Web Search. UvA-DARE (University of Amsterdam). 531–541. 93 indexed citations

11.

Braslavski, Pavel, Ilya Markov, Pãnos M. Pardalos, et al.. (2016). 9th Russian Summer School in Information Retrieval (RuSSIR 2015). ACM SIGIR Forum. 49(2). 72–79. 2 indexed citations

12.

Chuklin, Aleksandr, Ilya Markov, & Maarten de Rijke. (2015). An Introduction to Click Models for Web Search. 1113–1115. 23 indexed citations

13.

Chuklin, Aleksandr, Ilya Markov, & Maarten de Rijke. (2015). Click Models for Web Search. UvA-DARE (University of Amsterdam). 7(3). 1–115. 111 indexed citations

14.

Chuklin, Aleksandr, Ilya Markov, & Maarten de Rijke. (2015). Click Models for Web Search. 84 indexed citations

15.

Chuklin, Aleksandr, Ilya Markov, & Maarten de Rijke. (2015). Advanced Click Models and their Applications to IR. 1111–1112. 1 indexed citations

16.

Markov, Ilya, Eugene Kharitonov, Vadim V. Nikulin, et al.. (2014). Vertical-Aware Click Model-Based Effectiveness Metrics. UvA-DARE (University of Amsterdam). 1867–1870. 6 indexed citations

17.

Markov, Ilya & Fábio Crestani. (2014). Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource Selection. ACM Transactions on Information Systems. 32(2). 1–37. 9 indexed citations

18.

Markov, Ilya, Avi Arampatzis, & Fábio Crestani. (2012). Unsupervised linear score normalization revisited. 1161–1162. 11 indexed citations

19.

Carman, Mark, Robert Gwadera, Shima Gerani, et al.. (2009). University of Lugano at TREC 2009 Blog Track. Text REtrieval Conference. 2 indexed citations

20.

Markov, Ilya. (2007). VP-tree: Content-Based Image Indexing.. 9(43). 46–46. 2 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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