B. K. Natarajan

4.4k total citations · 1 hit paper
41 papers, 2.8k citations indexed

About

B. K. Natarajan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, B. K. Natarajan has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in B. K. Natarajan's work include Machine Learning and Algorithms (8 papers), Advanced Data Compression Techniques (8 papers) and Algorithms and Data Compression (7 papers). B. K. Natarajan is often cited by papers focused on Machine Learning and Algorithms (8 papers), Advanced Data Compression Techniques (8 papers) and Algorithms and Data Compression (7 papers). B. K. Natarajan collaborates with scholars based in United States, India and Germany. B. K. Natarajan's co-authors include Κωνσταντίνος Κωνσταντινίδης, V. Bhaskaran, Gregory S. Yovanof, Chandra Chekuri, R. Motwani, Clifford Stein, Vasudev Bhaskaran, R.E. Carlson, Sanjay K. Bose and Prasad Tadepalli and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and The International Journal of Robotics Research.

In The Last Decade

B. K. Natarajan

39 papers receiving 2.6k 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.

Sparse Approximate Solutions to Linear Systems

1995 1.7k citations B. K. Natarajan SIAM Journal on Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. K. Natarajan United States	17	1.2k	1.1k	616	491	360	41	2.8k
Xiaoming Huo United States	25	1.4k 1.1×	788 0.7×	715 1.2×	365 0.7×	547 1.5×	120	3.6k
Vladimir Temlyakov United States	30	2.3k 1.9×	1.2k 1.2×	781 1.3×	409 0.8×	666 1.9×	141	4.8k
Gongguo Tang United States	24	1.5k 1.2×	1.1k 1.0×	1.0k 1.6×	326 0.7×	642 1.8×	88	3.9k
Y. C. Pati United States	10	1.6k 1.3×	1.3k 1.3×	883 1.4×	486 1.0×	699 1.9×	26	3.6k
Jie Chen China	32	1.6k 1.4×	875 0.8×	1.2k 2.0×	784 1.6×	396 1.1×	249	4.3k
Chee Yap United States	30	597 0.5×	1.3k 1.2×	487 0.8×	405 0.8×	96 0.3×	143	3.1k
Shiqian Ma United States	27	1.9k 1.5×	798 0.8×	430 0.7×	614 1.3×	354 1.0×	100	3.2k
Seung-Jean Kim United States	18	1.2k 1.0×	883 0.8×	522 0.8×	740 1.5×	519 1.4×	35	4.8k
Dimitry Gorinevsky United States	23	936 0.8×	682 0.6×	375 0.6×	512 1.0×	539 1.5×	131	3.7k
P. Tseng United States	12	712 0.6×	576 0.5×	238 0.4×	592 1.2×	131 0.4×	15	2.3k

Countries citing papers authored by B. K. Natarajan

Since Specialization

Citations

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

Fields of papers citing papers by B. K. Natarajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. K. Natarajan

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

1.

Bose, Sanjay K., et al.. (2024). An adaptive multistage intrusion detection and prevention system in software defined networking environment. Automatika. 65(4). 1364–1378. 6 indexed citations

2.

Natarajan, B. K., Κωνσταντίνος Κωνσταντινίδης, & Cormac Herley. (2002). Occam filters for stochastic sources with application to digital images. 1. 399–402. 1 indexed citations

3.

Κωνσταντινίδης, Κωνσταντίνος & B. K. Natarajan. (2002). Algorithm and architecture: for non-linear noise filtering via piecewise linear compression. ii. II/489–II/492. 3 indexed citations

4.

Natarajan, B. K., et al.. (2002). Low-complexity algorithm and architecture for block-based motion estimation via one-bit transforms. 6. 3244–3247. 5 indexed citations

5.

Bhaskaran, V., B. K. Natarajan, & Κωνσταντίνος Κωνσταντινίδης. (2002). Optimal piecewise-linear compression of images. 9. 168–177. 3 indexed citations

6.

Natarajan, B. K.. (2000). On Learning Functions from Noise-Free and Noisy Samples via Occam's Razor. SIAM Journal on Computing. 29(3). 712–727. 1 indexed citations

7.

Natarajan, B. K., Κωνσταντίνος Κωνσταντινίδης, & Cormac Herley. (1998). Occam filters for stochastic sources with application to digital images. IEEE Transactions on Signal Processing. 46(5). 1434–1438. 9 indexed citations

8.

Κωνσταντινίδης, Κωνσταντίνος, B. K. Natarajan, & Gregory S. Yovanof. (1997). Noise estimation and filtering using block-based singular value decomposition. IEEE Transactions on Image Processing. 6(3). 479–483. 135 indexed citations

9.

Chekuri, Chandra, et al.. (1996). Profile-driven instruction level parallel scheduling with application to super blocks. International Symposium on Microarchitecture. 58–67. 24 indexed citations

10.

Natarajan, B. K.. (1995). Sparse Approximate Solutions to Linear Systems. SIAM Journal on Computing. 24(2). 227–234. 1713 indexed citations breakdown →

11.

Natarajan, B. K. & Michael Schlansker. (1995). Spill-free parallel scheduling of basic blocks. International Symposium on Microarchitecture. 119–124. 2 indexed citations

12.

Natarajan, B. K.. (1995). Filtering random noise from deterministic signals via data compression. IEEE Transactions on Signal Processing. 43(11). 2595–2605. 104 indexed citations

13.

Natarajan, B. K.. (1994). On generating topologically consistent isosurfaces from uniform samples. The Visual Computer. 11(1). 52–62. 100 indexed citations

14.

Carlson, R.E. & B. K. Natarajan. (1994). Sparse approximate multiquadric interpolation. Computers & Mathematics with Applications. 27(6). 99–108. 16 indexed citations

15.

Natarajan, B. K.. (1993). Condition-Sensitive Computation of Approximate Fixed Points. Journal of Complexity. 9(3). 406–411. 1 indexed citations

16.

Natarajan, B. K.. (1990). On computing the intersection of B-splines (extended abstract). 157–167. 2 indexed citations

17.

Natarajan, B. K.. (1989). On learning sets and functions. Machine Learning. 4(1). 67–97. 65 indexed citations

18.

Natarajan, B. K.. (1988). On planning assemblies. 299–308. 49 indexed citations

19.

Natarajan, B. K.. (1988). The Complexity of Fine Motion Planning. The International Journal of Robotics Research. 7(2). 36–42. 17 indexed citations

20.

Natarajan, B. K.. (1986). An algorithmic approach to the automated design of parts orienters. 132–142. 54 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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