Aravind Sankar

1.3k total citations · 1 hit paper
13 papers, 536 citations indexed

About

Aravind Sankar is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Aravind Sankar has authored 13 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Aravind Sankar's work include Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (5 papers) and Recommender Systems and Techniques (5 papers). Aravind Sankar is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (5 papers) and Recommender Systems and Techniques (5 papers). Aravind Sankar collaborates with scholars based in United States, India and South Africa. Aravind Sankar's co-authors include Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang, Kevin Chen–Chuan Chang, Hari Sundaram, Xinyang Zhang, Yozen Liu, Jun Yu and Neil Shah and has published in prestigious journals such as Psychological Reports, Knowledge and Information Systems and Apollo (University of Cambridge).

In The Last Decade

Aravind Sankar

12 papers receiving 527 citations

Hit Papers

DySAT 2020 2026 2022 2024 2020 100 200 300
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.

  1. DySAT
    2020 305 citations Aravind Sankar, Yanhong Wu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aravind Sankar United States 7 416 185 162 88 78 13 536
Lun Du China 15 541 1.3× 203 1.1× 271 1.7× 99 1.1× 99 1.3× 51 755
X. D. Zhang United States 12 456 1.1× 109 0.6× 111 0.7× 109 1.2× 46 0.6× 30 557
Yuanfu Lu China 10 538 1.3× 207 1.1× 284 1.8× 100 1.1× 62 0.8× 12 637
Giang Nguyen United States 5 332 0.8× 204 1.1× 78 0.5× 52 0.6× 52 0.7× 8 412
Shaohua Fan China 8 571 1.4× 178 1.0× 247 1.5× 138 1.6× 99 1.3× 14 714
Yanhong Wu China 5 284 0.7× 135 0.7× 68 0.4× 51 0.6× 42 0.5× 7 351
Quanyu Dai China 16 622 1.5× 141 0.8× 296 1.8× 163 1.9× 65 0.8× 44 829
Qiaoyu Tan United States 12 359 0.9× 52 0.3× 222 1.4× 104 1.2× 57 0.7× 27 478
Huiting Hong China 7 195 0.5× 82 0.4× 105 0.6× 57 0.6× 30 0.4× 10 375

Countries citing papers authored by Aravind Sankar

Since Specialization
Citations

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

Fields of papers citing papers by Aravind Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aravind Sankar

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

All Works

13 of 13 papers shown
1.
Sundaram, Hari, et al.. (2022). Audience-Centric Natural Language Generation via Style Infusion. 1919–1932.
2.
Sankar, Aravind, et al.. (2022). Self-supervised role learning for graph neural networks. Knowledge and Information Systems. 64(8). 2091–2121. 3 indexed citations
3.
Sankar, Aravind, et al.. (2021). ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. 166–175. 12 indexed citations
4.
Sankar, Aravind, Yozen Liu, Jun Yu, & Neil Shah. (2021). Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. 2535–2546. 48 indexed citations
5.
Sankar, Aravind, Yanhong Wu, Liang Gou, Wei Zhang, & Hao Yang. (2020). DySAT Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. 519–527. 26 indexed citations
6.
Sankar, Aravind, Yanhong Wu, Liang Gou, Wei Zhang, & Hao Yang. (2020). DySAT. 519–527. 305 indexed citations breakdown →
7.
Sankar, Aravind, et al.. (2019). Meta-GNN: Metagraph Neural Network for Semi-supervised learning in Attributed Heterogeneous Information Networks. IEEE Conference Proceedings. 2019. 137–144. 3 indexed citations
8.
Hu, Jiafeng, Reynold Cheng, Kevin Chen–Chuan Chang, et al.. (2019). Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. Apollo (University of Cambridge). 746–757. 37 indexed citations
9.
Sankar, Aravind, et al.. (2019). RASE: Relationship Aware Social Embedding. 9. 1–8. 3 indexed citations
10.
Sankar, Aravind, Xinyang Zhang, & Kevin Chen–Chuan Chang. (2019). Meta-GNN. 137–144. 47 indexed citations
11.
Sharma, Ashish, et al.. (2018). An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. 1491–1494. 47 indexed citations
12.
Bajaj, Payal, et al.. (2015). Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. 12. 1143–1152. 4 indexed citations
13.
Bose, Shambhunath, et al.. (1964). An Intercountry Comparison of Textbooks Used for Introductory Psychology Courses. Psychological Reports. 15(3). 811–814. 1 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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