Devendra Singh Chaplot

3.5k citations
29 papers · 1.3k · h-index 16

Impact in

Papers in

    • Reinforcement Learning in Robotics 12
    • Natural Language Processing Techniques 4
    • Intelligent Tutoring Systems and Adaptive Learning 3
    • Topic Modeling 2
    • Robotics and Sensor-Based Localization 7

Devendra Singh Chaplot

28 papers receiving 1.3k citations

Peers

Devendra Singh Chaplot
Comparison fields: 5 of 67
  • Artificial Intelligence 873
  • Computer Science Applications 89
  • Aerospace Engineering 275
  • Computer Vision and Pattern Recognition 239
  • Control and Systems Engineering 180
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Oliver Groth United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Devendra Singh Chaplot

Since Specialization
Citations

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

Fields of papers citing papers by Devendra Singh Chaplot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devendra Singh Chaplot. 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 Devendra Singh Chaplot. The network helps show where Devendra Singh Chaplot may publish in the future.

Co-authors

The 25 scholars most cited alongside Devendra Singh Chaplot, 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 Devendra Singh Chaplot Line = papers co-authored together Devendra Singh Chaplot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017337
2 2020160
3 2022109
4 2018101
5
Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks.
201591
6 202388
7 202367
8 201860
9 201853
10 202045
11 202430
12
Object Goal Navigation using Goal-Oriented Semantic Exploration
202029
13 201624
14 201523
15
Data-Driven Automated Induction of Prerequisite Structure Graphs.
201621
16 202017
17 202316
18 201713
19 20188
20 20248

About Devendra Singh Chaplot

Devendra Singh Chaplot is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Science Applications, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (12 papers), Robotics and Sensor-Based Localization (7 papers), Natural Language Processing Techniques (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), 3D Shape Modeling and Analysis (3 papers), Online Learning and Analytics (3 papers), Robot Manipulation and Learning (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (873 citations), Computer Science Applications (89 citations), Aerospace Engineering (275 citations), Computer Vision and Pattern Recognition (239 citations) and Control and Systems Engineering (180 citations). Devendra Singh Chaplot has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Guillaume Lample, Ruslan Salakhutdinov, Saurabh Gupta, Jitendra Malik, Abhinav Kumar Gupta, Jihie Kim, Dhruv Batra, Théophile Gervet, Santhosh Kumar Ramakrishnan and Kristen Grauman. Their work appears in journals such as Cognitive Science, Science Robotics, Lecture notes in computer science, International Conference on Learning Representations and International Joint 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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