Shiv Surya

1.2k total citations · 1 hit paper
11 papers, 686 citations indexed

About

Shiv Surya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Shiv Surya has authored 11 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Shiv Surya's work include Visual Attention and Saliency Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Video Surveillance and Tracking Methods (2 papers). Shiv Surya is often cited by papers focused on Visual Attention and Saliency Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Video Surveillance and Tracking Methods (2 papers). Shiv Surya collaborates with scholars based in India, Australia and Germany. Shiv Surya's co-authors include R. Venkatesh Babu, Deepak Babu Sam, Venkatesh Babu Radhakrishnan, M Sakthimohan, Senthil Kumaran Selvaraj, Ravi Kiran Sarvadevabhatla, Trisha Mittal, Srinivas S S Kruthiventi, Sumit Negi and Arijit Biswas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Materials Today Proceedings and Neurosurgical Review.

In The Last Decade

Shiv Surya

8 papers receiving 665 citations

Hit Papers

Switching Convolutional Neural Network for Crowd Counting 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiv Surya India 5 601 486 164 88 52 11 686
Zehao Xiao China 5 405 0.7× 305 0.6× 103 0.6× 64 0.7× 36 0.7× 9 456
Deepak Babu Sam India 6 1.1k 1.8× 873 1.8× 287 1.8× 155 1.8× 94 1.8× 8 1.2k
Qingyu Song China 8 401 0.7× 247 0.5× 65 0.4× 52 0.6× 42 0.8× 13 531
Minsi Wang China 11 655 1.1× 413 0.8× 77 0.5× 40 0.5× 22 0.4× 13 711
Dingkang Liang China 8 286 0.5× 201 0.4× 53 0.3× 30 0.3× 39 0.8× 45 405
Sheng‐Fuu Lin Taiwan 8 283 0.5× 190 0.4× 37 0.2× 22 0.3× 33 0.6× 36 422
Jürgen Wiest Germany 9 168 0.3× 139 0.3× 70 0.4× 28 0.3× 18 0.3× 12 456
Muhammad Saqib Australia 11 210 0.3× 114 0.2× 36 0.2× 13 0.1× 31 0.6× 29 432
Chunluan Zhou China 11 513 0.9× 190 0.4× 64 0.4× 7 0.1× 15 0.3× 20 583
Neeraj K. Kanhere United States 11 335 0.6× 46 0.1× 69 0.4× 21 0.2× 25 0.5× 18 452

Countries citing papers authored by Shiv Surya

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Surya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Surya

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

All Works

11 of 11 papers shown
1.
Li, William, et al.. (2025). The role of artificial intelligence in diagnostic neurosurgery: a systematic review. Neurosurgical Review. 48(1). 393–393.
2.
Sakthimohan, M, et al.. (2023). Cursor Movement Based on Object Detection Using Vision Transformers. 1–5. 15 indexed citations
4.
Surya, Shiv, et al.. (2020). An investigation on friction welding of tube to tube plate by using friction stir processing with CNT and Si3N4 composites. Materials Today Proceedings. 22. 2452–2459. 10 indexed citations
5.
Surya, Shiv, et al.. (2020). ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis. 1189–1197. 4 indexed citations
6.
Sarvadevabhatla, Ravi Kiran, Shiv Surya, Trisha Mittal, & R. Venkatesh Babu. (2018). Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(1). 221–231. 5 indexed citations
7.
Surya, Shiv, et al.. (2018). Hand Written Indian Numeral Character Recognition using Deep Learning approaches. 1301–1304. 1 indexed citations
8.
Sam, Deepak Babu, Shiv Surya, & R. Venkatesh Babu. (2017). Switching Convolutional Neural Network for Crowd Counting. 4031–4039. 640 indexed citations breakdown →
9.
Surya, Shiv, et al.. (2016). Multiple-Time-Series Clinical Data Processing for Classification: A Review. International Journal of Computer Applications. 133(13). 1–3. 1 indexed citations
10.
Sarvadevabhatla, Ravi Kiran, Shiv Surya, Srinivas S S Kruthiventi, & Venkatesh Babu Radhakrishnan. (2016). SwiDeN. 187–191. 4 indexed citations
11.
Surya, Shiv & Venkatesh Babu Radhakrishnan. (2016). TraCount. 1–6. 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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