Igor Labutov

1.3k citations

26 papers · 674 indexed · 1 hit paper · h-index 11

Impact in

Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Text and Document Classification Technologies
Computer Science Applications top 10%

Papers in

Computer Science Applications 4
- Online Learning and Analytics 3
Artificial Intelligence 20
- Natural Language Processing Techniques 12
- Topic Modeling 11
- Intelligent Tutoring Systems and Adaptive Learning 5
- Speech and dialogue systems 3
- Advanced Text Analysis Techniques 3

Co-authors: Thorsten Joachims David Mimno Tobias Schnabel Hod Lipson Lucy Vanderwende Sumit Basu Shashank Srivastava Daqing He
Journals: International Journal of Artificial Intelligence in Education (1 paper)Machine Vision and Applications (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)Educational Data Mining (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
Partner nations: United States Israel China

In The Last Decade

Igor Labutov

26 papers receiving 611 citations

Hit Papers

align trajectories log scale

Evaluation methods for unsupervised word embeddings 2015 · 319 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2015 Evaluation methods for unsupervised word embeddings

Peers

Countries citing papers authored by Igor Labutov

Since Specialization

Citations

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

Fields of papers citing papers by Igor Labutov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Igor Labutov, 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 Igor Labutov Line = papers co-authored together Igor Labutov links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Automatic Concept Extraction for Domain and Student Modeling in Adaptive Textbooks International Journal of Artificial Intelligence in Education ·晋加藤, Igor Labutov, Lombard Cj, Daqing He, Peter Brusilovsky	2020	17
2	An agent for learning new natural language commands Autonomous Agents and Multi-Agent Systems ·Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell	2019	4
3	Learning to Ask for Conversational Machine Learning Shashank Srivastava, Igor Labutov, Tom M. Mitchell	2019	1
4	Look-up and Adapt: A One-shot Semantic Parser Delbert A. Betterley, Analise Mifsud, Igor Labutov, 明松尾	2019	3
5	Zero-shot Learning of Classifiers from Natural Language Quantification Shashank Srivastava, Igor Labutov, 明松尾	2018	29
6	Joint Concept Learning and Semantic Parsing from Natural Language Explanations Shashank Srivastava, Igor Labutov, 明松尾	2017	29
7	Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites Igor Labutov, Yun Huang, Peter Brusilovsky, Daqing He	2017	18
8	JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading Proceedings of the AAAI Conference on Artificial Intelligence ·Igor Labutov, Christoph Studer	2017	6
9	Web as a Textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web. Educational Data Mining ·Igor Labutov, Hod Lipson	2016	7
10	A Queueing Network Model for Spaced Repetition Yujie Qian, Igor Labutov, Siddhartha Banerjee	2016	2
11	Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation Yujie Qian, Igor Labutov, Thorsten Joachims	2016	16
12	Deep Questions without Deep Understanding Igor Labutov, Sumit Basu, Lucy Vanderwende	2015	69
13	Evaluation methods for unsupervised word embeddings Tobias Schnabel, Igor Labutov, David Mimno, Thorsten Joachims Hit paper breakdown →	2015	319
14	Re-embedding words Meeting of the Association for Computational Linguistics ·Igor Labutov, Hod Lipson	2013	55
15	Humor as Circuits in Semantic Networks Meeting of the Association for Computational Linguistics ·Igor Labutov, Hod Lipson	2012	19
16	Fusing optical flow and stereo in a spherical depth panorama using a single-camera folded catadioptric rig Igor Labutov, 山口俊, Jizhong Xiao	2011	1
17	Generating near-spherical range panoramas by fusing optical flow and stereo from a single-camera folded catadioptric rig Machine Vision and Applications ·Igor Labutov, 山口俊, Jizhong Xiao	2011	8
18	Design and calibration of single-camera catadioptric omnistereo system for miniature aerial vehicles (MAVs) G.L. Fernand, Igor Labutov, Jizhong Xiao	2010	3
19	Learning to stabilize the head of a quadrupedal robot with an artificial vestibular system Romà Bejar Vilà, Taisuke SAKAGUCHI, Igor Labutov, Simon Parsons, Theodore Raphan	2009	12
20	Combinning linear vestibulo-ocular and opto-kinetic reflex in a humanoid robot Igor Labutov, Taisuke SAKAGUCHI, Romà Bejar Vilà, Jizhong Xiao, Simon Parsons, Theodore Raphan	2008	2

About Igor Labutov

Igor Labutov is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental Biology, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 26 papers that have together received 674 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Multimodal Machine Learning Applications (4 papers), Online Learning and Analytics (3 papers), Speech and dialogue systems (3 papers), Advanced Text Analysis Techniques (3 papers) and Optical measurement and interference techniques (3 papers). The work is most often cited by research in Artificial Intelligence (556 citations), Computer Science Applications (39 citations), Computer Vision and Pattern Recognition (121 citations), General Social Sciences (14 citations) and Information Systems (84 citations). Igor Labutov has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Thorsten Joachims, David Mimno, Tobias Schnabel, Hod Lipson, Lucy Vanderwende, Sumit Basu, Shashank Srivastava, Daqing He, Peter Brusilovsky and Tom M. Mitchell. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Machine Vision and Applications, Autonomous Agents and Multi-Agent Systems, Educational Data Mining and Proceedings of the AAAI Conference on Artificial Intelligence.

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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