Shiv Shankar

469 total citations
7 papers, 80 citations indexed

About

Shiv Shankar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Shiv Shankar has authored 7 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Shiv Shankar's work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Natural Language Processing Techniques (2 papers). Shiv Shankar is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Natural Language Processing Techniques (2 papers). Shiv Shankar collaborates with scholars based in India. Shiv Shankar's co-authors include Sunita Sarawagi, Vihari Piratla, Preethi Jyothi, Siddhartha Chaudhuri, Soumen Chakrabarti and Philip S. Thomas and has published in prestigious journals such as DSpace (IIT Bombay), arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Shiv Shankar

7 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiv Shankar India	4	59	48	6	5	4	7	80
Emilie Morvant France	6	55 0.9×	18 0.4×	3 0.5×	3 0.6×	3 0.8×	10	69
Quang Pham Singapore	5	52 0.9×	27 0.6×	8 1.3×	5 1.0×		10	69
Chen-Yu Lee Taiwan	1	28 0.5×	28 0.6×	4 0.7×	3 0.6×		2	55
Ching-Yao Chuang United States	3	44 0.7×	31 0.6×	6 1.0×	2 0.4×	1 0.3×	4	54
Ikumi Suzuki Japan	5	38 0.6×	19 0.4×	4 0.7×	5 1.0×		16	55
Tri Dao United States	6	37 0.6×	20 0.4×	3 0.5×	5 1.0×	1 0.3×	12	74
Stephen Merity Australia	2	125 2.1×	91 1.9×	9 1.5×	3 0.6×		3	152
Yafu Li China	6	77 1.3×	20 0.4×	7 1.2×	2 0.4×		17	108
Sukmin Yun United States	3	44 0.7×	35 0.7×	2 0.3×	2 0.4×		5	67

Countries citing papers authored by Shiv Shankar

Since Specialization

Citations

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

Fields of papers citing papers by Shiv Shankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Shankar

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

All Works

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7 of 7 papers shown

1.

Shankar, Shiv, et al.. (2021). High-Confidence Off-Policy (or Counterfactual) Variance Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6939–6947. 1 indexed citations

2.

Shankar, Shiv, Vihari Piratla, Soumen Chakrabarti, et al.. (2018). Generalizing Across Domains via Cross-Gradient Training. International Conference on Learning Representations. 38 indexed citations

3.

Shankar, Shiv & Sunita Sarawagi. (2018). Posterior Attention Models for Sequence to Sequence Learning. DSpace (IIT Bombay). 10 indexed citations

4.

Shankar, Shiv, et al.. (2018). A Comparative Performance Analysis of Cloud, Cluster and Grid Computing over Network. 5(3). 2 indexed citations

5.

Shankar, Shiv, et al.. (2018). Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. 23 indexed citations

6.

Shankar, Shiv & Sunita Sarawagi. (2018). Labeled Memory Networks for Online Model Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 4 indexed citations

7.

Shankar, Shiv & Sunita Sarawagi. (2017). Labeled Memory Networks for Online Model Adaptation. arXiv (Cornell University). 4034–4041. 2 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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