Slava Novgorodov

591 total citations
39 papers, 375 citations indexed

About

Slava Novgorodov is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Slava Novgorodov has authored 39 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 16 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Slava Novgorodov's work include Data Stream Mining Techniques (9 papers), Mobile Crowdsensing and Crowdsourcing (9 papers) and Web Data Mining and Analysis (8 papers). Slava Novgorodov is often cited by papers focused on Data Stream Mining Techniques (9 papers), Mobile Crowdsensing and Crowdsourcing (9 papers) and Web Data Mining and Analysis (8 papers). Slava Novgorodov collaborates with scholars based in Israel, United States and Ireland. Slava Novgorodov's co-authors include Tova Milo, Wang-Chiew Tan, Ido Guy, Haim Kaplan, Kira Radinsky, Ohad Greenshpan, Neoklis Polyzotis, Susan B. Davidson, Yael Amsterdamer and T. Milo and has published in prestigious journals such as Expert Systems with Applications, Proceedings of the VLDB Endowment and Information Retrieval.

In The Last Decade

Slava Novgorodov

37 papers receiving 359 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Slava Novgorodov 237 136 122 98 59 39 375
Katharina Siorpaes 336 1.4× 171 1.3× 125 1.0× 49 0.5× 44 0.7× 13 483
Stephen Guo 240 1.0× 122 0.9× 117 1.0× 87 0.9× 40 0.7× 16 413
Sukriti Ramesh 309 1.3× 87 0.6× 433 3.5× 175 1.8× 69 1.2× 7 523
Srividya Bansal 155 0.7× 143 1.1× 54 0.4× 68 0.7× 98 1.7× 48 360
Petros Venetis 314 1.3× 253 1.9× 153 1.3× 188 1.9× 92 1.6× 11 528
Ilya Markov 256 1.1× 366 2.7× 53 0.4× 113 1.2× 58 1.0× 31 533
Aleksandr Chuklin 198 0.8× 284 2.1× 50 0.4× 72 0.7× 32 0.5× 19 424
Sebastian Schaffert 434 1.8× 280 2.1× 89 0.7× 44 0.4× 150 2.5× 39 642
Prasang Upadhyaya 244 1.0× 222 1.6× 50 0.4× 136 1.4× 218 3.7× 16 473
Chaoyue Niu 336 1.4× 132 1.0× 73 0.6× 72 0.7× 81 1.4× 26 440

Countries citing papers authored by Slava Novgorodov

Since Specialization
Citations

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

Fields of papers citing papers by Slava Novgorodov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slava Novgorodov

This figure shows the co-authorship network connecting the top 25 collaborators of Slava Novgorodov. A scholar is included among the top collaborators of Slava Novgorodov 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 Slava Novgorodov. Slava Novgorodov 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.
Guy, Ido, et al.. (2025). What is in a title? Characterizing product titles in e-commerce. Expert Systems with Applications. 287. 127702–127702.
2.
3.
Guy, Ido, et al.. (2023). Shop by image: characterizing visual search in e-commerce. Information Retrieval. 26(1-2). 12 indexed citations
4.
Novgorodov, Slava, et al.. (2022). The Tip of the Buyer: Extracting Product Tips from Reviews. ACM Transactions on Internet Technology. 23(1). 1–30. 1 indexed citations
5.
Guy, Ido, et al.. (2021). Improving Constrained Search Results By Data Melioration. 1667–1678. 2 indexed citations
6.
Novgorodov, Slava, et al.. (2021). Generating Tips from Product Reviews. 310–318. 6 indexed citations
7.
Guy, Ido, et al.. (2021). ConCaT: Construction of Category Trees from Search Queries in E-Commerce. 2701–2704. 2 indexed citations
8.
Milo, Tova, et al.. (2020). Inventory Reduction via Maximal Coverage in E-Commerce. Movebank. 522–533. 2 indexed citations
9.
Guy, Ido, et al.. (2019). Learning to Generate Personalized Product Descriptions. 389–398. 9 indexed citations
10.
Milo, Tova, et al.. (2019). ReducE-Comm: Effective Inventory Reduction System for E-Commerce. 2957–2960. 1 indexed citations
11.
Milo, Tova, et al.. (2019). WiClean. Proceedings of the VLDB Endowment. 12(12). 1846–1849. 1 indexed citations
12.
Milo, Tova, et al.. (2018). GOLDRUSH. Proceedings of the VLDB Endowment. 11(12). 1998–2001. 7 indexed citations
13.
Milo, Tova, et al.. (2017). DANCE: Data Cleaning with Constraints and Experts. 1409–1410. 13 indexed citations
14.
Amsterdamer, Yael, et al.. (2015). Managing General and Individual Knowledge in Crowd Mining Applications. Conference on Innovative Data Systems Research. 8 indexed citations
15.
Milo, Tova, et al.. (2015). QOCO. Proceedings of the VLDB Endowment. 8(12). 1900–1903. 4 indexed citations
16.
Milo, Tova, et al.. (2015). Query-Oriented Data Cleaning with Oracles. 1199–1214. 35 indexed citations
17.
Amsterdamer, Yael, et al.. (2014). OASSIS. 589–600. 21 indexed citations
18.
Milo, T., et al.. (2013). CrowdPlanr: Planning made easy with crowd. 1344–1347. 17 indexed citations
19.
Kaplan, Haim, et al.. (2013). Answering planning queries with the crowd. Proceedings of the VLDB Endowment. 6(9). 697–708. 32 indexed citations
20.
Greenshpan, Ohad, et al.. (2012). Asking the Right Questions in Crowd Data Sourcing. 50 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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