Anand Rangarajan

12.7k total citations · 4 hit papers
215 papers, 8.1k citations indexed

About

Anand Rangarajan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anand Rangarajan has authored 215 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anand Rangarajan's work include Medical Image Segmentation Techniques (48 papers), Image Retrieval and Classification Techniques (35 papers) and Medical Imaging Techniques and Applications (30 papers). Anand Rangarajan is often cited by papers focused on Medical Image Segmentation Techniques (48 papers), Image Retrieval and Classification Techniques (35 papers) and Medical Imaging Techniques and Applications (30 papers). Anand Rangarajan collaborates with scholars based in United States, Taiwan and India. Anand Rangarajan's co-authors include Haili Chui, Alan Yuille, Steven Gold, Michael J. Black, Eric Mjolsness, Gene Gindi, Suguna Pappu, Ajit Rajwade, Arunava Banerjee and Srinivasan Venkatachary and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Anand Rangarajan

198 papers receiving 7.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new point matching algorithm for non-rigid registration

2003 1.1k citations Anand Rangarajan et al. profile →
The Concave-Convex Procedure

2003 802 citations Alan Yuille, Anand Rangarajan profile →
A graduated assignment algorithm for graph matching

1996 674 citations Steven Gold, Anand Rangarajan profile →
On the unification of line processes, outlier rejection, and robust statistics with applications in early vision

1996 502 citations Michael J. Black, Anand Rangarajan profile →

Peers

Countries citing papers authored by Anand Rangarajan

Since Specialization

Citations

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

Fields of papers citing papers by Anand Rangarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anand Rangarajan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Stability-preserving Lossy Compression for Large-scale Partial Differential Equations 2025 ·Qian Gong, (unknown), Jieyang Chen, Xin Liang, (unknown), (unknown), (unknown), Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky	0
2	Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction 2025 ·(unknown), (unknown), Anand Rangarajan, Sanjay Ranka	0
3	Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation 2025 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), (unknown), (unknown), Anand Rangarajan, Sanjay Ranka	1
4	A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections 2024 ·(unknown), (unknown), (unknown), Anand Rangarajan, Sanjay Ranka	0
5	Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets 2023 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), (unknown), (unknown), (unknown), Xiaohui Huang, Anand Rangarajan, Sanjay Ranka	1
6	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring 2023 ·SoftwareX ·Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, (unknown), (unknown), (unknown), Anand Rangarajan, Lipeng Wan, (unknown), Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky	18
7	Neural data compression for physics plasma simulation 2021 ·International Conference on Learning Representations ·Jong Youl Choi, R.M. Churchill, Qian Gong, S. Ku, (unknown), Anand Rangarajan, Sanjay Ranka, (unknown), C. S. Chang, Scott Klasky	2
8	Machine Learning Algorithms for Traffic Interruption Detection 2020 ·(unknown), Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka	1
9	Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures 2012 ·NeuroImage ·Ting Chen, Anand Rangarajan, Stephan Eisenschenk, Baba C. Vemuri	9
10	Diffeomorphic Point Matching with Applications in Biomedical Image Registration 2010 ·Hongyu Guo, Anand Rangarajan	1
11	The Concave-Convex Procedure (CCCP) 2001 ·Neural Information Processing Systems ·Alan Yuille, Anand Rangarajan	253
12	MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation 2001 ·Neural Information Processing Systems ·Anand Rangarajan, Alan Yuille	1
13	Markov random field models in image processing 1998 ·MIT Press eBooks ·Anand Rangarajan, Rama Chellappa	12
14	A Convergence Proof for the Softassign Quadratic Assignment Algorithm 1996 ·Neural Information Processing Systems ·Anand Rangarajan, Alan Yuille, Steven Gold, Eric Mjolsness	19
15	Softassign versus Softmax: Benchmarks in Combinatorial Optimization 1995 ·Neural Information Processing Systems ·Steven Gold, Anand Rangarajan	7
16	A Framework for Non-rigid Matching and Correspondence 1995 ·Neural Information Processing Systems ·Suguna Pappu, Steven Gold, Anand Rangarajan	7
17	The outlier process: unifying line processes and robust statistics. 1994 ·Computer Vision and Pattern Recognition ·Michael J. Black, Anand Rangarajan	1
18	New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence 1994 ·Neural Information Processing Systems ·Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness	81
19	Clustering with a Domain-Specific Distance Measure 1993 ·Neural Information Processing Systems ·Steven Gold, Eric Mjolsness, Anand Rangarajan	12
20	Bayesian reconstruction of functional images using anatomical information as priors 1993 ·IEEE Transactions on Medical Imaging ·Gene Gindi, (unknown), Anand Rangarajan, I. George Zubal	152

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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