Alexey Drutsa

400 citations
32 papers · 221 · h-index 9

Impact in

Papers in

Alexey Drutsa

25 papers receiving 199 citations

Peers

Alexey Drutsa
Comparison fields: 5 of 53
  • Computer Science Applications 40
  • Statistics and Probability 35
  • Management Science and Operations Research 51
  • Information Systems and Management 19
  • Artificial Intelligence 88
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Countries citing papers authored by Alexey Drutsa

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Drutsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Alexey Drutsa, 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 Alexey Drutsa Line = papers co-authored together Alexey Drutsa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201529
2 201624
3
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information
201618
4 201717
5 201717
6 201515
7 202013
8 201512
9 20189
10 20177
11 20157
12 20207
13 20157
14 20176
15 20205
16 20095
17 20214
18 20224
19
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders
20203
20
Weakly consistent optimal pricing algorithms in repeated posted-price auctions with strategic buyer
20183

About Alexey Drutsa

Alexey Drutsa is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Science Applications, Information Systems and Marketing, having authored 32 papers that have together received 221 indexed citations. Recurring topics across this work include Auction Theory and Applications (8 papers), Data Stream Mining Techniques (6 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Navier-Stokes equation solutions (5 papers), Consumer Market Behavior and Pricing (5 papers), Supply Chain and Inventory Management (4 papers), Advanced Text Analysis Techniques (4 papers) and Differential Equations and Numerical Methods (4 papers). The work is most often cited by research in Computer Science Applications (40 citations), Statistics and Probability (35 citations), Management Science and Operations Research (51 citations), Information Systems and Management (19 citations) and Artificial Intelligence (88 citations). Alexey Drutsa has collaborated with scholars based in Russia, United States and Australia. Frequent co-authors include Pavel Serdyukov, Gleb Gusev, Dmitry Ustalov, Oliver Bates, Jonas Oppenlaender, Jorge Gonçalves, Simo Hosio, Danula Hettiachchi, Ujwal Gadiraju and Eugene Kharitonov. Their work appears in journals such as Sbornik Mathematics, ACM Transactions on the Web, Russian Journal of Numerical Analysis and Mathematical Modelling, Doklady Mathematics and Математический сборник.

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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