Radha Chitta

737 total citations
12 papers, 392 citations indexed

About

Radha Chitta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Radha Chitta has authored 12 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Health Information Management. Recurrent topics in Radha Chitta's work include Advanced Clustering Algorithms Research (6 papers), Topic Modeling (5 papers) and Face and Expression Recognition (4 papers). Radha Chitta is often cited by papers focused on Advanced Clustering Algorithms Research (6 papers), Topic Modeling (5 papers) and Face and Expression Recognition (4 papers). Radha Chitta collaborates with scholars based in United States, China and India. Radha Chitta's co-authors include Rong Jin, Anil K. Jain, Timothy C. Havens, Houping Xiao, Fenglong Ma, Jing Zhou, Jing Gao, Quanzeng You, M. Narasimha Murty and Yaqing Wang and has published in prestigious journals such as Pattern Recognition, BMC Medical Informatics and Decision Making and Michigan State University Libraries.

In The Last Decade

Radha Chitta

12 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Radha Chitta United States	7	327	132	96	42	39	12	392
R. S. Bhuvaneswaran India	10	117 0.4×	195 1.5×	15 0.2×	16 0.4×	17 0.4×	44	392
Bowen Dong China	10	220 0.7×	129 1.0×	3 0.0×	22 0.5×	51 1.3×	25	428
Mathieu Blondel Japan	11	98 0.3×	62 0.5×	7 0.1×	37 0.9×	12 0.3×	23	284
D. R. Patil India	10	131 0.4×	32 0.2×	65 0.7×	9 0.2×	113 2.9×	35	338
Jung-Yi Jiang Taiwan	7	201 0.6×	77 0.6×	3 0.0×	10 0.2×	43 1.1×	17	295
Muhammad Hanif Pakistan	12	113 0.3×	282 2.1×	3 0.0×	52 1.2×	8 0.2×	16	397
Ignazio Pillai Italy	12	369 1.1×	133 1.0×	2 0.0×	30 0.7×	100 2.6×	14	485
T. Medhat Egypt	6	93 0.3×	34 0.3×	16 0.2×	7 0.2×	32 0.8×	20	339
Dmitry Pechyony United States	9	175 0.5×	101 0.8×	2 0.0×	8 0.2×	12 0.3×	12	222

Countries citing papers authored by Radha Chitta

Since Specialization

Citations

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

Fields of papers citing papers by Radha Chitta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radha Chitta

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

All Works

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12 of 12 papers shown

1.

Chitta, Radha, et al.. (2023). Questions about Contracts: Prompt Templates for Structured Answer Generation. 62–72. 2 indexed citations

2.

Ma, Fenglong, Yaqing Wang, Houping Xiao, et al.. (2019). Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics and Decision Making. 19(S6). 267–267. 15 indexed citations

3.

Chitta, Radha & Alexander K. Hudek. (2019). A Reliable and Accurate Multiple Choice Question Answering System for Due Diligence. 184–188. 3 indexed citations

4.

Ma, Fenglong, Yaqing Wang, Houping Xiao, et al.. (2018). A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. 1070–1075. 21 indexed citations

5.

Ma, Fenglong, Quanzeng You, Houping Xiao, et al.. (2018). KAME. 743–752. 139 indexed citations

6.

Chitta, Radha. (2015). Kernel-based Clustering of Big Data. Michigan State University Libraries. 3 indexed citations

7.

Chitta, Radha, Rong Jin, & Anil K. Jain. (2015). Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling. 31. 607–614. 4 indexed citations

8.

Chitta, Radha, Anil K. Jain, & Rong Jin. (2015). Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters. 11–18. 3 indexed citations

9.

Chitta, Radha, Rong Jin, & Anil K. Jain. (2012). Efficient Kernel Clustering Using Random Fourier Features. 161–170. 55 indexed citations

10.

Chitta, Radha, Rong Jin, Timothy C. Havens, & Anil K. Jain. (2011). Approximate kernel k-means. 895–903. 112 indexed citations

11.

Havens, Timothy C., Radha Chitta, Anil K. Jain, & Rong Jin. (2011). Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering. 463–470. 18 indexed citations

12.

Chitta, Radha & M. Narasimha Murty. (2009). Two-level k-means clustering algorithm for k–τ relationship establishment and linear-time classification. Pattern Recognition. 43(3). 796–804. 17 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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