K.S. Arun

5.3k total citations · 1 hit paper
64 papers, 3.8k citations indexed

About

K.S. Arun is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, K.S. Arun has authored 64 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 19 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in K.S. Arun's work include Blind Source Separation Techniques (13 papers), Structural Health Monitoring Techniques (9 papers) and Control Systems and Identification (8 papers). K.S. Arun is often cited by papers focused on Blind Source Separation Techniques (13 papers), Structural Health Monitoring Techniques (9 papers) and Control Systems and Identification (8 papers). K.S. Arun collaborates with scholars based in United States, India and United Kingdom. K.S. Arun's co-authors include Thomas S. Huang, Steven D. Blostein, Sun‐Yuan Kung, D. V. Bhaskar Rao, Bhaskar D. Rao, V. K. Govindan, Lee C. Potter, S. Dharanipragada, James V. Krogmeier and Christopher J. Langmead and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry B and Proceedings of the IEEE.

In The Last Decade

K.S. Arun

54 papers receiving 3.6k 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.

Least-Squares Fitting of Two 3-D Point Sets

1987 2.9k citations K.S. Arun, Thomas S. Huang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.S. Arun United States	15	1.8k	1.5k	535	473	436	64	3.8k
Steven D. Blostein Canada	23	2.0k 1.1×	1.9k 1.3×	495 0.9×	364 0.8×	190 0.4×	198	5.1k
Radu Horaud France	39	3.7k 2.1×	1.9k 1.3×	415 0.8×	619 1.3×	685 1.6×	142	5.5k
J. Illingworth United Kingdom	24	4.4k 2.5×	834 0.6×	466 0.9×	406 0.9×	187 0.4×	90	6.3k
Roberto Manduchi United States	30	6.0k 3.4×	989 0.7×	592 1.1×	500 1.1×	327 0.8×	130	8.4k
Masatoshi Okutomi Japan	38	5.0k 2.8×	1.8k 1.2×	420 0.8×	278 0.6×	149 0.3×	217	5.9k
Andrew Calway United Kingdom	24	2.6k 1.5×	850 0.6×	233 0.4×	145 0.3×	235 0.5×	94	3.5k
David Suter Australia	39	3.9k 2.2×	1.5k 1.0×	320 0.6×	359 0.8×	238 0.5×	205	5.4k
Wenxian Yu China	37	1.6k 0.9×	2.9k 2.0×	399 0.7×	392 0.8×	394 0.9×	329	5.2k
Xiangyang Ji China	35	3.3k 1.9×	798 0.5×	407 0.8×	230 0.5×	678 1.6×	252	5.3k
David Hogg United Kingdom	37	3.0k 1.7×	968 0.7×	393 0.7×	149 0.3×	368 0.8×	198	5.6k

Countries citing papers authored by K.S. Arun

Since Specialization

Citations

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

Fields of papers citing papers by K.S. Arun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.S. Arun

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

20 of 20 papers shown

1.

Raj, V P Jagathy, et al.. (2024). DNN-STACK: a stacking technique based on deep neural network for detecting copy-move forgery. Neural Computing and Applications. 37(6). 4989–5004.

2.

Arun, K.S., et al.. (2023). Trajectory-Extending Kinetic Monte Carlo Simulations to Evaluate Pure and Gas Mixture Diffusivities through a Dense Polymeric Membrane. The Journal of Physical Chemistry B. 127(45). 9841–9849. 5 indexed citations

3.

Arun, K.S., et al.. (2022). Flex Sensor Dataset: Towards Enhancing the Performance of Sign Language detection System. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–5. 2 indexed citations

4.

Arun, K.S., V. K. Govindan, & S. D. Madhu Kumar. (2019). Enhanced bag of visual words representations for content based image retrieval: a comparative study. Artificial Intelligence Review. 53(3). 1615–1653. 16 indexed citations

5.

Arun, K.S. & V. K. Govindan. (2016). A context-aware semantic modeling framework for efficient image retrieval. International Journal of Machine Learning and Cybernetics. 8(4). 1259–1285. 11 indexed citations

6.

Arun, K.S., et al.. (2011). An Automated Mail Sorter System using SVM Classifier. 32(6). 27–31. 2 indexed citations

7.

Arun, K.S., et al.. (2011). A machine learning approach for fingerprint based gender identification. 11 indexed citations

8.

Arun, K.S., et al.. (2010). An Automatic Feature Based Registration Algorithm for Medical Images. 22. 174–177. 5 indexed citations

9.

Arun, K.S. & Christopher J. Langmead. (2004). Large scale testing of chemical shift prediction algorithms and improved machine learning-based approaches to shift prediction. 712–713. 1 indexed citations

10.

Arun, K.S. & Bhaskar D. Rao. (2003). An improved Toeplitz approximation method. 2352–2355. 2 indexed citations

11.

Arun, K.S. & Vasant B. Rao. (1993). Constructive Heuristics and Lower Bounds for Graph Partitioning Based on a Principal-Components Approximation. SIAM Journal on Matrix Analysis and Applications. 14(4). 991–1015. 2 indexed citations

12.

Arun, K.S. & Vasant B. Rao. (1991). New heuristics and lower bounds for graph partitioning. 26. 1172–1175 vol.2. 2 indexed citations

13.

Arun, K.S., et al.. (1990). Detection and tracking of superimposed non-stationary harmonics. 173–177. 2 indexed citations

14.

Arun, K.S. & Sun‐Yuan Kung. (1990). Balanced Approximation of Stochastic Systems. SIAM Journal on Matrix Analysis and Applications. 11(1). 42–68. 52 indexed citations

15.

Krogmeier, James V. & K.S. Arun. (1989). A comparative study of causal and non-causal models for multidimensional spectrum estimation. 1056–1060. 6 indexed citations

16.

Krogmeier, James V. & K.S. Arun. (1989). Linear Interpolation Theory for Multidimensional Identification and Estimation. 1208–1213. 2 indexed citations

17.

Arun, K.S.. (1989). Principal components algorithms for ARMA spectrum estimation. IEEE Transactions on Acoustics Speech and Signal Processing. 37(4). 566–571. 2 indexed citations

18.

Arun, K.S., Thomas S. Huang, & Steven D. Blostein. (1987). Least-Squares Fitting of Two 3-D Point Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-9(5). 698–700. 2857 indexed citations breakdown →

19.

Kung, Sun‐Yuan & K.S. Arun. (1983). A Novel Hankel Approximation Method for Arma Pole-Zero Estimation from Noisy Covariance Data*. WA19–WA19. 2 indexed citations

20.

Arun, K.S. & Sun‐Yuan Kung. (1983). STATE SPACE MODELING AND APPROXIMATE REALIZATION METHODS FOR ARMA SPECTRAL ESTIMATION.. 420–426. 1 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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