Dhruv Khattar

918 citations
10 papers · 527 indexed · 1 hit paper · h-index 7
Topics
Recommender Systems and Techniques (7 papers)Topic Modeling (6 papers)Image Retrieval and Classification Techniques (4 papers)
Journals
arXiv (Cornell University)CLEF (Working Notes)
Partner nations
India

In The Last Decade

Dhruv Khattar

10 papers receiving 509 citations

Hit Papers

MVAE: Multimodal Variational Autoencoder for Fake News De...20192026202120232019100200300400

Peers

Dhruv Khattar
Comparison fields: 5 of 48
  • Sociology and Political Science 390
  • Information Systems 339
  • Artificial Intelligence 333
  • Signal Processing 94
  • Computer Vision and Pattern Recognition 85
Replace Shivangi Singhal with:
Shivangi Singhal India
Sneha Kudugunta India
Christina Boididou United Kingdom
Rishabh Kaushal India
William D. Ferreira Brazil
Michael Brennan United States
Alessandro Bondielli Italy
Shahrzad Zargari United Kingdom
Markos Zampoglou Greece
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Dhruv Khattar relative to Shivangi Singhal India Shivangi Singhal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dhruv Khattar

Since Specialization
Citations

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

Fields of papers citing papers by Dhruv Khattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhruv Khattar

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1
MVAE: Multimodal Variational Autoencoder for Fake News Detectionbreakdown →
430
2
Neural Content-Collaborative Filtering for News Recommendation.
6
3 29
4 9
5
Deep Neural Architecture for News Recommendation.
18
6
A Neural Clickbait Detection Engine.
6
7 9
8 10
9 4
10 6

About Dhruv Khattar

Dhruv Khattar is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 527 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Information Systems (339 citations), Artificial Intelligence (333 citations) and Sociology and Political Science (390 citations). Dhruv Khattar has collaborated with scholars based in India. Frequent co-authors include Vasudeva Varma, Manish Gupta, Vaibhav Kumar and Vaibhav Kumar. Their work appears in journals such as arXiv (Cornell University) and CLEF (Working Notes).

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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