Devendra Singh Chaplot

3.1k citations
28 papers · 915 indexed · h-index 14
Topics
Natural Language Processing Techniques (9 papers)Multimodal Machine Learning Applications (8 papers)Topic Modeling (7 papers)
Journals
Cognitive ScienceScience Robotics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Partner nations
United StatesIsraelIndia

In The Last Decade

Devendra Singh Chaplot

27 papers receiving 862 citations

Peers

Devendra Singh Chaplot
Comparison fields: 5 of 80
  • Artificial Intelligence 556
  • Computer Vision and Pattern Recognition 383
  • Aerospace Engineering 128
  • Control and Systems Engineering 106
  • Computer Science Applications 94
Replace Eiichi Osawa with:
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Sidi Lu United States
Mukesh Saini India
Noa Agmon Israel
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Citations per field
00.5×10×20×30×35.5×
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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-authorship network of co-authors of Devendra Singh Chaplot

This figure shows the co-authorship network connecting the top 25 collaborators of Devendra Singh Chaplot. A scholar is included among the top collaborators of Devendra Singh Chaplot 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 Devendra Singh Chaplot. Devendra Singh Chaplot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 11
4 62
5 47
6 8
7
Object Goal Navigation using Goal-Oriented Semantic Exploration
20
8
LSTM Iteration Networks: An Exploration of Differentiable Path Finding
3
9
Active Neural Localization
10
10 14
11 80
12 29
13 9
14
Data-Driven Automated Induction of Prerequisite Structure Graphs.
19
15 20
16
SAP: Student Attrition Predictor.
1
17
Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks.
76
18 23
19 3
20
Comparing Model Comparison Methods
5

About Devendra Singh Chaplot

Devendra Singh Chaplot is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 28 papers that have together received 915 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (383 citations), Computer Science Applications (94 citations) and Artificial Intelligence (556 citations). Devendra Singh Chaplot has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Guillaume Lample, Ruslan Salakhutdinov, Jitendra Malik, Jihie Kim, Dheeraj Rajagopal, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi, Santhosh Kumar Ramakrishnan, Dhruv Batra and Kristen Grauman. Their work appears in journals such as Cognitive Science, Science Robotics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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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