Igor Malioutov

472 citations
11 papers · 313 indexed · h-index 6
Topics
Natural Language Processing Techniques (9 papers)Topic Modeling (5 papers)Speech and dialogue systems (3 papers)
Journals
Pattern Recognition LettersENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)Meeting of the Association for Computational Linguistics

In The Last Decade

Igor Malioutov

10 papers receiving 276 citations

Peers

Igor Malioutov
Comparison fields: 5 of 24
  • Artificial Intelligence 274
  • Signal Processing 90
  • Computer Vision and Pattern Recognition 57
  • Information Systems 26
  • Human-Computer Interaction 9
Replace Géraldine Damnati with:
Géraldine Damnati France
Mohammed Alhazmi Saudi Arabia
Maria Eskevich Ireland
Scott Cyphers United States
Mumit Khan Bangladesh
Younes Samih Germany
Albert Sanchís Spain
Adrià Giménez Spain
Koen Deschacht Belgium
Saša Hasan Germany
Igor Malioutov relative to Géraldine Damnati France Géraldine Damnati's profile →
Citations per field
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Citations per year

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

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 5
5 3
6 7
7
Language Acquisition and Probabilistic Models: keeping it simple
2
8 114
9
Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input
35
10 138
11 7

About Igor Malioutov

Igor Malioutov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 11 papers that have together received 313 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (5 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Artificial Intelligence (274 citations), Signal Processing (90 citations) and Computer Vision and Pattern Recognition (57 citations). Igor Malioutov has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Regina Barzilay, James Glass, Timothy J. Hazen, David Huynh, Scott Cyphers, Alex Park, Ozan İrsoy, Tianze Shi, Andrew L. Rukhin and Adrian Benton. Their work appears in journals such as Pattern Recognition Letters, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and Meeting of the Association for Computational Linguistics.

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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