Ratheesh Kalarot

509 total citations
12 papers, 233 citations indexed

About

Ratheesh Kalarot is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Ratheesh Kalarot has authored 12 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Social Psychology and 2 papers in Cognitive Neuroscience. Recurrent topics in Ratheesh Kalarot's work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ratheesh Kalarot is often cited by papers focused on Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ratheesh Kalarot collaborates with scholars based in New Zealand, United States and Canada. Ratheesh Kalarot's co-authors include Mark Bergman, Spyridon Bakas, Birkan Tunç, Sarthak Pati, Saima Rathore, Hamed Akbari, Christos Davatzikos, Eric A. Cohen, Jimit Doshi and Nariman Jahani and has published in prestigious journals such as Lecture notes in computer science, Journal of Medical Imaging and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Ratheesh Kalarot

12 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ratheesh Kalarot New Zealand 7 125 69 67 28 27 12 233
Sina Bagheri United States 8 92 0.7× 58 0.8× 12 0.2× 30 1.1× 21 0.8× 22 212
Chiharu Sako United States 10 141 1.1× 75 1.1× 19 0.3× 17 0.6× 46 1.7× 27 251
Francesco Sanvito United States 8 152 1.2× 74 1.1× 30 0.4× 28 1.0× 21 0.8× 32 235
Ariana Familiar United States 7 67 0.5× 50 0.7× 15 0.2× 13 0.5× 19 0.7× 23 151
Javier Juan–Albarracín Spain 7 128 1.0× 118 1.7× 52 0.8× 20 0.7× 23 0.9× 15 229
Roelant S. Eijgelaar Netherlands 7 190 1.5× 131 1.9× 37 0.6× 28 1.0× 32 1.2× 13 286
Domenique M. J. Müller Netherlands 6 105 0.8× 75 1.1× 30 0.4× 11 0.4× 17 0.6× 10 217
Haocheng Shen China 8 68 0.5× 33 0.5× 47 0.7× 13 0.5× 18 0.7× 13 148
Émilie Alvarez Andres France 4 182 1.5× 39 0.6× 32 0.5× 21 0.8× 66 2.4× 5 223
Zhengda Yu China 6 199 1.6× 128 1.9× 27 0.4× 28 1.0× 27 1.0× 8 317

Countries citing papers authored by Ratheesh Kalarot

Since Specialization
Citations

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

Fields of papers citing papers by Ratheesh Kalarot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ratheesh Kalarot

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

All Works

12 of 12 papers shown
1.
Kolkin, Nicholas, et al.. (2025). A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. 3782–3791. 3 indexed citations
2.
Lin, Wei-An, et al.. (2024). Plug-and-Play Diffusion Distillation. 13743–13752. 3 indexed citations
3.
Motiian, Saeid, et al.. (2022). Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 21 indexed citations
4.
Kalarot, Ratheesh & Fatih Porikli. (2019). MultiBoot Vsr: Multi-Stage Multi-Reference Bootstrapping for Video Super-Resolution. 2060–2069. 8 indexed citations
5.
Rathore, Saima, Spyridon Bakas, Sarthak Pati, et al.. (2018). Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. Lecture notes in computer science. 10670. 133–145. 27 indexed citations
6.
Davatzikos, Christos, Saima Rathore, Spyridon Bakas, et al.. (2018). Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome. Journal of Medical Imaging. 5(1). 1–1. 129 indexed citations
7.
Sagar, Mark, et al.. (2014). A neurobehavioural framework for autonomous animation of virtual human faces. 1–10. 17 indexed citations
8.
Sagar, Mark, et al.. (2014). Embodying models of expressive behaviour and learning with a biomimetic virtual infant. 62–67. 8 indexed citations
9.
Kalarot, Ratheesh, et al.. (2012). Analysis of Real-Time Stereo Vision Algorithms On GPU. 7 indexed citations
10.
Kalarot, Ratheesh & John Morris. (2010). Implementation of Symmetric Dynamic Programming Stereo Matching Algorithm Using CUDA. 141–146. 3 indexed citations
11.
Kalarot, Ratheesh, John Morris, & Georgy Gimel’farb. (2010). Performance analysis of multi-resolution symmetric dynamic programming stereo on GPU. 1–7. 5 indexed citations
12.
Kalarot, Ratheesh & John Morris. (2009). Real-time correlogram tracking for airborne traffic surveillance. 89. 18–22. 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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