Igor Malioutov

472 total citations
11 papers, 313 citations indexed

About

Igor Malioutov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Igor Malioutov has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Igor Malioutov's work include Natural Language Processing Techniques (9 papers), Topic Modeling (5 papers) and Speech and dialogue systems (3 papers). Igor Malioutov is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (5 papers) and Speech and dialogue systems (3 papers). Igor Malioutov collaborates with scholars based in United States, Brazil and United Kingdom. Igor Malioutov's co-authors include Regina Barzilay, James Glass, David Huynh, Scott Cyphers, Timothy J. Hazen, Alex Park, Tianze Shi, Ozan İrsoy, Andrew L. Rukhin and Adrian Benton and has published in prestigious journals such as Pattern Recognition Letters, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and Meeting of the Association for Computational Linguistics.

In The Last Decade

Igor Malioutov

10 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Malioutov United States	6	274	90	57	26	9	11	313
Géraldine Damnati France	8	260 0.9×	40 0.4×	32 0.6×	35 1.3×	17 1.9×	36	290
Scott Cyphers United States	9	321 1.2×	59 0.7×	43 0.8×	54 2.1×	10 1.1×	13	357
Younes Samih Germany	15	384 1.4×	39 0.4×	35 0.6×	44 1.7×	9 1.0×	34	407
Mumit Khan Bangladesh	12	316 1.2×	84 0.9×	127 2.2×	29 1.1×	6 0.7×	36	401
Maria Eskevich Ireland	8	127 0.5×	50 0.6×	126 2.2×	21 0.8×	2 0.2×	29	226
Mohammed Alhazmi Saudi Arabia	12	312 1.1×	125 1.4×	39 0.7×	17 0.7×	3 0.3×	26	342
Saša Hasan Germany	15	454 1.7×	30 0.3×	69 1.2×	23 0.9×	11 1.2×	25	482
Avishek Joey Bose United States	6	89 0.3×	25 0.3×	34 0.6×	34 1.3×	7 0.8×	19	148
Adrià Giménez Spain	11	209 0.8×	63 0.7×	102 1.8×	8 0.3×	5 0.6×	23	272
Albert Sanchís Spain	11	293 1.1×	67 0.7×	52 0.9×	10 0.4×	3 0.3×	27	327

Countries citing papers authored by Igor Malioutov

Since Specialization

Citations

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

Fields of papers citing papers by Igor Malioutov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Malioutov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Malioutov. A scholar is included among the top collaborators of Igor Malioutov 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 Igor Malioutov. Igor Malioutov 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.

Malioutov, Igor, et al.. (2025). An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2789–2793.

2.

Benton, Adrian, Tianze Shi, Ozan İrsoy, & Igor Malioutov. (2022). Weakly Supervised Headline Dependency Parsing. 6520–6535. 1 indexed citations

3.

Shi, Tianze, Adrian Benton, Igor Malioutov, & Ozan İrsoy. (2021). Diversity-Aware Batch Active Learning for Dependency Parsing. 2616–2626. 5 indexed citations

4.

Benton, Adrian, Hanyang Li, & Igor Malioutov. (2021). Cross-Register Projection for Headline Part of Speech Tagging. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6475–6490. 1 indexed citations

5.

Shi, Tianze, Ozan İrsoy, Igor Malioutov, & Lillian Lee. (2021). Learning Syntax from Naturally-Occurring Bracketings. 2941–2949. 3 indexed citations

6.

Shi, Tianze, Igor Malioutov, & Ozan İrsoy. (2020). Semantic Role Labeling as Syntactic Dependency Parsing. 7551–7571. 7 indexed citations

7.

Villavicencio, Aline, Marco Idiart, Robert C. Berwick, & Igor Malioutov. (2013). Language Acquisition and Probabilistic Models: keeping it simple. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1321–1330. 2 indexed citations

8.

Glass, James, Timothy J. Hazen, Scott Cyphers, et al.. (2007). Recent progress in the MIT spoken lecture processing project. 2553–2556. 114 indexed citations

9.

Malioutov, Igor, Alex Park, Regina Barzilay, & James Glass. (2007). Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input. Meeting of the Association for Computational Linguistics. 504–511. 35 indexed citations

10.

Malioutov, Igor & Regina Barzilay. (2006). Minimum cut model for spoken lecture segmentation. 25–32. 138 indexed citations

11.

Rukhin, Andrew L. & Igor Malioutov. (2005). Fusion of biometric algorithms in the recognition problem. Pattern Recognition Letters. 26(5). 679–684. 7 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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