Tanmay Randhavane

469 total citations
15 papers, 230 citations indexed

About

Tanmay Randhavane is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tanmay Randhavane has authored 15 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Tanmay Randhavane's work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Tanmay Randhavane is often cited by papers focused on Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Tanmay Randhavane collaborates with scholars based in United States, United Kingdom and Netherlands. Tanmay Randhavane's co-authors include Dinesh Manocha, Aniket Bera, Kurt Gray, Ari Shapiro, Sujeong Kim, Sahil Narang, Andrew Best, Kyra Kapsaskis, Emily Kubin and Austin Wang and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, PRESENCE Virtual and Augmented Reality and Computer Vision and Pattern Recognition.

In The Last Decade

Tanmay Randhavane

14 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanmay Randhavane United States 10 126 81 65 53 48 15 230
Cathy Ennis Ireland 11 135 1.1× 99 1.2× 133 2.0× 97 1.8× 10 0.2× 19 300
Brandon Haworth Canada 11 84 0.7× 35 0.4× 157 2.4× 11 0.2× 49 1.0× 30 297
Panayiotis Charalambous Cyprus 9 202 1.6× 33 0.4× 142 2.2× 27 0.5× 37 0.8× 29 341
T. King United States 6 112 0.9× 155 1.9× 47 0.7× 62 1.2× 38 0.8× 10 266
Pete Trautman United Kingdom 4 176 1.4× 40 0.5× 99 1.5× 107 2.0× 76 1.6× 4 337
Nikolai Smolyanskiy United States 7 164 1.3× 51 0.6× 11 0.2× 23 0.4× 43 0.9× 7 266
Jacques Penders United Kingdom 9 95 0.8× 40 0.5× 37 0.6× 39 0.7× 8 0.2× 38 299
Francesco Solera Italy 9 241 1.9× 38 0.5× 44 0.7× 18 0.3× 55 1.1× 11 310
Samuel Blisard United States 7 130 1.0× 38 0.5× 13 0.2× 89 1.7× 18 0.4× 13 279
Daniel Carton Germany 7 140 1.1× 115 1.4× 28 0.4× 61 1.2× 6 0.1× 13 266

Countries citing papers authored by Tanmay Randhavane

Since Specialization
Citations

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

Fields of papers citing papers by Tanmay Randhavane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanmay Randhavane

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

All Works

15 of 15 papers shown
1.
Randhavane, Tanmay, et al.. (2023). Exploring the Sim2Real Gap using Digital Twins. 20361–20370. 3 indexed citations
2.
Randhavane, Tanmay, Uttaran Bhattacharya, Kyra Kapsaskis, et al.. (2022). Learning Gait Emotions Using Affective and Deep Features. 1–10. 5 indexed citations
3.
González-Franco, Mar, Angus Antley, Tanmay Randhavane, et al.. (2020). MoveBox: Democratizing MoCap for the Microsoft Rocketbox Avatar Library. 91–98. 22 indexed citations
4.
Bera, Aniket, Tanmay Randhavane, Kyra Kapsaskis, et al.. (2020). How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot Navigation. 644–651. 7 indexed citations
5.
Bera, Aniket, Tanmay Randhavane, & Dinesh Manocha. (2019). Modelling Multi-Channel Emotions Using Facial Expression and Trajectory Cues for Improving Socially-Aware Robot Navigation. 257–266. 8 indexed citations
6.
Bera, Aniket, Tanmay Randhavane, & Dinesh Manocha. (2019). The Emotionally Intelligent Robot: Improving Socially-aware Human Prediction in Crowded Environments. Computer Vision and Pattern Recognition. 0–0. 9 indexed citations
7.
Randhavane, Tanmay, Aniket Bera, Kyra Kapsaskis, Kurt Gray, & Dinesh Manocha. (2019). FVA:Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics. IEEE Transactions on Visualization and Computer Graphics. 25(11). 3135–3145. 16 indexed citations
8.
Randhavane, Tanmay, Uttaran Bhattacharya, Kyra Kapsaskis, et al.. (2019). Learning Perceived Emotion Using Affective and Deep Features for Mental Health Applications. 395–399. 13 indexed citations
9.
Bera, Aniket, et al.. (2018). Data-driven modeling of group entitativity in virtual environments. 11 indexed citations
10.
Bera, Aniket, Tanmay Randhavane, Emily Kubin, et al.. (2018). The Socially Invisible Robot Navigation in the Social World Using Robot Entitativity. 4468–4475. 11 indexed citations
11.
Bera, Aniket, Tanmay Randhavane, & Dinesh Manocha. (2017). Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos. 112–118. 22 indexed citations
12.
Randhavane, Tanmay, Aniket Bera, & Dinesh Manocha. (2017). F2FCrowds: Planning Agent Movements to Enable Face-to-Face Interactions. PRESENCE Virtual and Augmented Reality. 26(2). 228–246. 12 indexed citations
13.
Narang, Sahil, Andrew Best, Tanmay Randhavane, Ari Shapiro, & Dinesh Manocha. (2016). PedVR. 91–100. 47 indexed citations
14.
Bera, Aniket, et al.. (2016). GLMP- realtime pedestrian path prediction using global and local movement patterns. 5528–5535. 44 indexed citations
15.
Mathew, Arun Tom, et al.. (2014). Predicting power needs in smart grids. 298–301.

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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