Girish Varma

724 total citations
17 papers, 368 citations indexed

About

Girish Varma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Girish Varma has authored 17 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Materials Chemistry. Recurrent topics in Girish Varma's work include Advanced Neural Network Applications (6 papers), Machine Learning in Materials Science (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Girish Varma is often cited by papers focused on Advanced Neural Network Applications (6 papers), Machine Learning in Materials Science (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Girish Varma collaborates with scholars based in India, United States and Italy. Girish Varma's co-authors include C. V. Jawahar, Manmohan Chandraker, Anbumani Subramanian, Anoop Namboodiri, Tarun Kalluri, U. Deva Priyakumar, Yashaswi Pathak, Masahiro Ehara, Kurt Mehlhorn and Vincenzo Bonifaci and has published in prestigious journals such as Scientific Reports, Physical Chemistry Chemical Physics and Investigative Ophthalmology & Visual Science.

In The Last Decade

Girish Varma

14 papers receiving 355 citations

Peers

Countries citing papers authored by Girish Varma

Since Specialization

Citations

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

Fields of papers citing papers by Girish Varma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girish Varma

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

#	Work	Indexed citations
1	Leveraging high-spin DFT features for prediction of spin state gaps in 3d transition metal complexes 2025 ·Physical Chemistry Chemical Physics ·(unknown), (unknown), Girish Varma, U. Deva Priyakumar, Ankan Paul	0
2	DeepSPInN – deep reinforcement learning for molecular structure prediction from infrared and ¹³ C NMR spectra 2024 ·Digital Discovery ·(unknown), (unknown), Sarvesh Mehta, Yashaswi Pathak, (unknown), Girish Varma, U. Deva Priyakumar	9
3	IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), Girish Varma	6
4	FInC Flow: Fast and Invertible k × k Convolutions for Normalizing Flows 2023 ·(unknown), (unknown), Girish Varma	1
5	City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Praveen Paruchuri, Girish Varma	0
6	Streamlining pipeline efficiency: a novel model-agnostic technique for accelerating conditional generative and virtual screening pipelines 2023 ·Scientific Reports ·(unknown), (unknown), (unknown), Girish Varma, U. Deva Priyakumar	1
7	Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework 2023 ·(unknown), (unknown), Girish Varma, Kishore Kothapalli	1
8	A machine learning solution to predict foveal development and visual prognosis in retinal developmental disorders 2021 ·Investigative Ophthalmology & Visual Science ·Helen J. Kuht, (unknown), (unknown), Gail Maconachie, Viral Sheth, (unknown), (unknown), Rebecca J. McLean, Ravi Purohit, (unknown), Frank A. Proudlock, Yudong Zhang, Irène Gottlob, Girish Varma, Mervyn G. Thomas	0
9	Deep learning enabled inorganic material generator 2020 ·Physical Chemistry Chemical Physics ·Yashaswi Pathak, (unknown), Girish Varma, Masahiro Ehara, U. Deva Priyakumar	40
10	IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments 2019 ·Girish Varma, Anbumani Subramanian, Anoop Namboodiri, Manmohan Chandraker, C. V. Jawahar	192
11	Universal Semi-Supervised Semantic Segmentation 2019 ·Tarun Kalluri, Girish Varma, Manmohan Chandraker, C. V. Jawahar	70
12	Dynamic Block Sparse Reparameterization of Convolutional Neural Networks 2019 ·(unknown), Girish Varma, Kishore Kothapalli	9
13	City-Scale Road Audit System using Deep Learning 2018 ·(unknown), Girish Varma, C. V. Jawahar	2
14	Improved Visual Relocalization by Discovering Anchor Points 2018 ·arXiv (Cornell University) ·(unknown), Girish Varma, C. V. Jawahar	9
15	Efficient Semantic Segmentation Using Gradual Grouping 2018 ·(unknown), (unknown), Girish Varma, C. V. Jawahar, Manu Mathew, Soyeb Nagori	6
16	Class2Str: End to End Latent Hierarchy Learning 2018 ·(unknown), Girish Varma, C. V. Jawahar	3
17	Physarum Can Compute Shortest Paths 2012 ·Iris (Roma Tre University) ·Vincenzo Bonifaci, Kurt Mehlhorn, Girish Varma	19

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bharti Khemani Breakdown of academic impact, for papers by Michael Widrich Breakdown of academic impact, for papers by Jiawei Wang Breakdown of academic impact, for papers by Youcheng Zhang Breakdown of academic impact, for papers by Mark van der Wilk Breakdown of academic impact, for papers by Chuming Li Breakdown of academic impact, for papers by Tao Ma Breakdown of academic impact, for papers by Wenhe Liu