Dhruv Khattar

918 total citations · 1 hit paper
10 papers, 527 citations indexed

About

Dhruv Khattar is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dhruv Khattar has authored 10 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 7 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dhruv Khattar's work include Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Image Retrieval and Classification Techniques (4 papers). Dhruv Khattar is often cited by papers focused on Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Image Retrieval and Classification Techniques (4 papers). Dhruv Khattar collaborates with scholars based in India. Dhruv Khattar's co-authors include Vasudeva Varma, Manish Gupta, Vaibhav Kumar and Vaibhav Kumar and has published in prestigious journals such as arXiv (Cornell University) and CLEF (Working Notes).

In The Last Decade

Dhruv Khattar

10 papers receiving 509 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MVAE: Multimodal Variational Autoencoder for Fake News Detection

2019 430 citations Dhruv Khattar, Manish Gupta et al. profile →

Peers

Dhruv Khattar

SPS

IS

AI

SP

CVPR

Shivangi Singhal India

Christina Boididou United Kingdom

Wanjun Zhong China

Alessandro Bondielli Italy

Sneha Kudugunta India

Markos Zampoglou Greece

Ziyi Kou United States

Rishabh Kaushal India

Elena Kochkina United Kingdom

Natali Ruchansky United States

Shivangi Singhal India

Dhruv Khattar

471 ×1.2

SPS

355 ×1.0

IS

343 ×1.0

AI

113 ×1.2

SP

45 ×0.5

CVPR

Citations per year, relative to Dhruv Khattar Dhruv Khattar (= 1×) peers Shivangi Singhal

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

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

10 of 10 papers shown

1.

Khattar, Dhruv, et al.. (2019). MVAE: Multimodal Variational Autoencoder for Fake News Detection. 2915–2921. 430 indexed citations breakdown →

2.

Khattar, Dhruv, Vaibhav Kumar, Manish Gupta, & Vasudeva Varma. (2018). Neural Content-Collaborative Filtering for News Recommendation.. 45–50. 6 indexed citations

3.

Khattar, Dhruv, Vaibhav Kumar, Vasudeva Varma, & Manish Gupta. (2018). Weave&Rec. 1855–1858. 29 indexed citations

4.

Khattar, Dhruv, Vaibhav Kumar, Vasudeva Varma, & Manish Gupta. (2018). HRAM. 1619–1622. 9 indexed citations

5.

Kumar, Vaibhav, et al.. (2017). Deep Neural Architecture for News Recommendation.. CLEF (Working Notes). 18 indexed citations

6.

Kumar, Vaibhav, et al.. (2017). A Neural Clickbait Detection Engine.. arXiv (Cornell University). 6 indexed citations

7.

Kumar, Vaibhav, et al.. (2017). Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. arXiv (Cornell University). 9 indexed citations

8.

Kumar, Vaibhav, et al.. (2017). Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. 61. 761–764. 10 indexed citations

9.

Khattar, Dhruv, Vaibhav Kumar, & Vasudeva Varma. (2017). Leveraging Moderate User Data for News Recommendation. 757–760. 4 indexed citations

10.

Kumar, Vaibhav, et al.. (2017). User Profiling Based Deep Neural Network for Temporal News Recommendation. 765–772. 6 indexed citations

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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