A. K. Gupta

575 total citations
10 papers, 432 citations indexed

About

A. K. Gupta is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, A. K. Gupta has authored 10 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Statistics and Probability and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in A. K. Gupta's work include Medical Image Segmentation Techniques (3 papers), Scientific Research and Discoveries (2 papers) and Blood Pressure and Hypertension Studies (1 paper). A. K. Gupta is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Scientific Research and Discoveries (2 papers) and Blood Pressure and Hypertension Studies (1 paper). A. K. Gupta collaborates with scholars based in United States, Canada and India. A. K. Gupta's co-authors include Jie Chen, Xiang Sean Zhou, Dorin Comaniciu, Bogdan Georgescu, Daya K. Nagar, D. G. Kabe, S. Ejaz Ahmed, Simrati Kaul and Ante Harxhi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the American Mathematical Society and Annals of the Institute of Statistical Mathematics.

In The Last Decade

A. K. Gupta

9 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. K. Gupta United States	6	130	130	95	50	49	10	432
Chi-Lun Cheng Taiwan	9	38 0.3×	331 2.5×	72 0.8×	4 0.1×	7 0.1×	20	596
Rahim Mahmoudvand Iran	16	50 0.4×	99 0.8×	65 0.7×	49 1.0×	4 0.1×	41	630
S. Loukas Greece	11	14 0.1×	548 4.2×	123 1.3×	13 0.3×	19 0.4×	32	818
Benoı̂t Cadre France	13	34 0.3×	238 1.8×	165 1.7×	2 0.0×	9 0.2×	28	507
Niklas Lind United Kingdom	2	39 0.3×	58 0.4×	67 0.7×	7 0.1×	2 0.0×	3	380
Daniel Gervini United States	12	24 0.2×	303 2.3×	92 1.0×	4 0.1×	10 0.2×	19	479
Peter Radchenko United States	11	44 0.3×	295 2.3×	131 1.4×	2 0.0×	8 0.2×	16	484
Kumar Sricharan United States	12	156 1.2×	62 0.5×	207 2.2×	39 0.8×	1 0.0×	23	628
Robert Hable Germany	11	26 0.2×	77 0.6×	130 1.4×	6 0.1×	4 0.1×	44	425
Ivan Mizera Canada	12	44 0.3×	344 2.6×	109 1.1×	2 0.0×	5 0.1×	27	522

Countries citing papers authored by A. K. Gupta

Since Specialization

Citations

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

Fields of papers citing papers by A. K. Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. K. Gupta. 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 A. K. Gupta. The network helps show where A. K. Gupta may publish in the future.

Co-authorship network of co-authors of A. K. Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of A. K. Gupta. A scholar is included among the top collaborators of A. K. Gupta 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 A. K. Gupta. A. K. Gupta 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:

10 of 10 papers shown

1.

Harxhi, Ante, et al.. (2025). Optimization of the Care4Today Digital Health Platform to Enhance Self-Reporting of Medication Adherence and Health Experiences in Patients With Coronary or Peripheral Artery Disease: Mixed Methods Study. JMIR Cardio. 9. e56053–e56053.

2.

Georgescu, Bogdan, Xiang Sean Zhou, Dorin Comaniciu, & A. K. Gupta. (2005). Database-Guided Segmentation of Anatomical Structures with Complex Appearance. 2. 429–436. 85 indexed citations

3.

Zhou, Xiang Sean, A. K. Gupta, & Dorin Comaniciu. (2004). An information fusion framework for robust shape tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(1). 115–129. 83 indexed citations

4.

Zhou, Xiang Sean, et al.. (2004). A unified framework for uncertainty propagation in automatic shape tracking. 1. 872–879. 3 indexed citations

5.

Ahmed, S. Ejaz, et al.. (2001). Simultaneous Estimation of Several Intraclass Correlation Coefficients. Annals of the Institute of Statistical Mathematics. 53(2). 354–369. 7 indexed citations

6.

Chen, Jie & A. K. Gupta. (2000). Parametric Statistical Change Point Analysis. Birkhäuser Boston eBooks. 224 indexed citations

7.

Gupta, A. K. & D. G. Kabe. (1998). Moments of ratios of quadratic forms. Statistics & Probability Letters. 38(1). 69–71. 5 indexed citations

8.

Gupta, A. K., et al.. (1995). On Disguised Inverted Wishart Distribution. Proceedings of the American Mathematical Society. 123(8). 2557–2557. 1 indexed citations

9.

Nagar, Daya K., et al.. (1985). Distribution of LRC for testing sphericity of a complex multivariate Gaussian model. International Journal of Mathematics and Mathematical Sciences. 8(3). 555–562. 11 indexed citations

10.

Gupta, A. K., et al.. (1984). On a Morgenstern-type bivariate gamma distribution. Metrika. 31(1). 327–332. 13 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.

Explore authors with similar magnitude of impact