Devendra Singh Chaplot

3.2k citations
29 papers · 1.0k · h-index 15

Impact in

Papers in

Devendra Singh Chaplot

28 papers receiving 959 citations

Peers

Devendra Singh Chaplot
Comparison fields: 5 of 80
  • Computer Science Applications 111
  • Computer Vision and Pattern Recognition 413
  • Artificial Intelligence 617
  • Aerospace Engineering 137
  • Control and Systems Engineering 117
Replace Eiichi Osawa with:
Eiichi Osawa Japan
Giovanni Adorni Italy
Song Yang China
Ayush Jain India
Mukesh Saini India
Ligeng Zhu United States
Xiaofan He United States
Sidi Lu United States
Hongchi Shi United States
Devendra Singh Chaplot relative to Eiichi Osawa Japan Eiichi Osawa's profile →
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 2017306
2
Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks.
201591
3 202287
4 201885
5 202371
6 201656
7 202352
8 201847
9 201729
10 201524
11 201624
12
Data-Driven Automated Induction of Prerequisite Structure Graphs.
201621
13
Object Goal Navigation using Goal-Oriented Semantic Exploration
202020
14 201815
15 202414
16
Active Neural Localization
201811
17 202311
18 201711
19 20187
20 20217

About Devendra Singh Chaplot

Devendra Singh Chaplot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Science Applications and Computer Networks and Communications, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (9 papers), Robotics and Sensor-Based Localization (7 papers), Topic Modeling (7 papers), Robotic Path Planning Algorithms (5 papers), Human Pose and Action Recognition (5 papers), Reinforcement Learning in Robotics (4 papers) and Artificial Intelligence in Games (3 papers). The work is most often cited by research in Computer Science Applications (111 citations), Computer Vision and Pattern Recognition (413 citations), Artificial Intelligence (617 citations), Aerospace Engineering (137 citations) and Control and Systems Engineering (117 citations). Devendra Singh Chaplot has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Guillaume Lample, Ruslan Salakhutdinov, Jihie Kim, Jitendra Malik, Kanthashree Mysore Sathyendra, Dheeraj Rajagopal, Rama Kumar Pasumarthi, Santhosh Kumar Ramakrishnan, Dhruv Batra and Théophile Gervet. Their work appears in journals such as Science Robotics, Cognitive Science, Lecture notes in computer science, Educational Data Mining and International Conference on Learning Representations.

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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