Fedor Borisyuk

815 total citations
11 papers, 297 citations indexed

About

Fedor Borisyuk is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fedor Borisyuk has authored 11 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fedor Borisyuk's work include Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Fedor Borisyuk is often cited by papers focused on Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Fedor Borisyuk collaborates with scholars based in United States. Fedor Borisyuk's co-authors include Paul N. Bennett, Peter Bailey, Susan Dumais, Wei Chu, Xiao‐Yuan Cui, Ryen W. White, Krishnaram Kenthapadi, Liang Zhang, David Stein and Bo Zhao and has published in prestigious journals such as Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Fedor Borisyuk

8 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fedor Borisyuk United States	6	216	131	69	35	27	11	297
Maliheh Izadi Netherlands	9	274 1.3×	165 1.3×	42 0.6×	26 0.7×	49 1.8×	28	356
Roberto Mirizzi Italy	7	268 1.2×	240 1.8×	66 1.0×	38 1.1×	42 1.6×	16	353
Sheetal Girase India	6	230 1.1×	119 0.9×	88 1.3×	36 1.0×	29 1.1×	14	295
Mariam Daoud France	9	175 0.8×	143 1.1×	78 1.1×	19 0.5×	26 1.0×	18	275
Fei Cai China	10	184 0.9×	155 1.2×	59 0.9×	31 0.9×	42 1.6×	18	288
Miguel A. Rueda-Morales Spain	6	244 1.1×	89 0.7×	97 1.4×	36 1.0×	42 1.6×	7	280
Andreas Lommatzsch Germany	8	147 0.7×	106 0.8×	51 0.7×	33 0.9×	30 1.1×	30	197
Bodo Billerbeck Australia	9	230 1.1×	161 1.2×	67 1.0×	25 0.7×	33 1.2×	19	317
Benjamin Kille Germany	8	209 1.0×	123 0.9×	89 1.3×	63 1.8×	20 0.7×	32	255
Liren Chen China	3	209 1.0×	129 1.0×	50 0.7×	15 0.4×	69 2.6×	6	285

Countries citing papers authored by Fedor Borisyuk

Since Specialization

Citations

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

Fields of papers citing papers by Fedor Borisyuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fedor Borisyuk

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Shen, Jiacong, et al.. (2025). LinkSAGE: Optimizing Job Matching Using Graph Neural Networks. 2448–2457.

2.

Borisyuk, Fedor, et al.. (2024). LiNR: Model Based Neural Retrieval on GPUs at LinkedIn. 4366–4373.

3.

Borisyuk, Fedor, et al.. (2024). LiMAML: Personalization of Deep Recommender Models via Meta Learning. 5882–5892.

4.

Liu, Yiqun, et al.. (2022). NxtPost: User To Post Recommendations In Facebook Groups. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3792–3800. 3 indexed citations

5.

Borisyuk, Fedor, et al.. (2021). VisRel: Media Search at Scale. 2584–2592. 2 indexed citations

6.

Liu, Yiqun, et al.. (2021). Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook. 3376–3384. 13 indexed citations

7.

Bell, Sean, et al.. (2020). GrokNet. 2608–2616. 17 indexed citations

8.

Borisyuk, Fedor, et al.. (2019). MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data. 2518–2526. 13 indexed citations

9.

Borisyuk, Fedor, Liang Zhang, & Krishnaram Kenthapadi. (2017). LiJAR. 1397–1406. 23 indexed citations

10.

Borisyuk, Fedor, Krishnaram Kenthapadi, David Stein, & Bo Zhao. (2016). CaSMoS. 441–450. 19 indexed citations

11.

Bennett, Paul N., Ryen W. White, Wei Chu, et al.. (2012). Modeling the impact of short- and long-term behavior on search personalization. 185–194. 207 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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