Ramakrishna Kakarala

816 total citations
56 papers, 549 citations indexed

About

Ramakrishna Kakarala is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Ramakrishna Kakarala has authored 56 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 9 papers in Signal Processing. Recurrent topics in Ramakrishna Kakarala's work include Image Retrieval and Classification Techniques (11 papers), Image and Signal Denoising Methods (10 papers) and Blind Source Separation Techniques (8 papers). Ramakrishna Kakarala is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), Image and Signal Denoising Methods (10 papers) and Blind Source Separation Techniques (8 papers). Ramakrishna Kakarala collaborates with scholars based in Singapore, United States and New Zealand. Ramakrishna Kakarala's co-authors include Philip Ogunbona, Z. Baharav, Alfred O. Hero, Geoffrey Iverson, Ramya Hebbalaguppe, Mark Andrews, William R. Uttal, J.A. Cadzow, Qian Kemao and Bruce M. Bennett and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Ramakrishna Kakarala

51 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramakrishna Kakarala Singapore 13 359 97 62 60 58 56 549
Ning Bi China 10 253 0.7× 37 0.4× 103 1.7× 55 0.9× 32 0.6× 34 438
Minghui Du China 15 377 1.1× 62 0.6× 73 1.2× 30 0.5× 73 1.3× 81 659
Vishvjit S. Nalwa United States 8 630 1.8× 137 1.4× 39 0.6× 59 1.0× 21 0.4× 13 746
Niranjan Damera-Venkata United States 14 877 2.4× 353 3.6× 80 1.3× 57 0.9× 55 0.9× 37 1.1k
Tu Bui Canada 16 662 1.8× 136 1.4× 56 0.9× 140 2.3× 35 0.6× 56 945
Sanjeev J. Koppal United States 15 411 1.1× 130 1.3× 36 0.6× 40 0.7× 130 2.2× 65 767
Shaohai Hu China 16 417 1.2× 350 3.6× 49 0.8× 55 0.9× 98 1.7× 95 780
Thomas P. Weldon United States 12 294 0.8× 117 1.2× 44 0.7× 26 0.4× 94 1.6× 63 603
Karsten Fyhn Denmark 9 128 0.4× 88 0.9× 137 2.2× 110 1.8× 53 0.9× 10 466

Countries citing papers authored by Ramakrishna Kakarala

Since Specialization
Citations

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

Fields of papers citing papers by Ramakrishna Kakarala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishna Kakarala

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

All Works

20 of 20 papers shown
1.
Kakarala, Ramakrishna, et al.. (2016). Novel approach to detect HDR scenes and determine suitable frames for image fusion.. Electronic Imaging. 28(18). 1–8. 3 indexed citations
2.
Andrews, Mark & Ramakrishna Kakarala. (2015). Shape simplification through polygonal approximation in the Fourier domain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9406. 94060D–94060D. 1 indexed citations
3.
Kakarala, Ramakrishna, et al.. (2015). Efficient capacitive touch sensing using structured matrices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9401. 94010O–94010O. 2 indexed citations
4.
Kakarala, Ramakrishna, et al.. (2013). Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain. 249–256. 11 indexed citations
5.
Kakarala, Ramakrishna, et al.. (2013). Perceptually motivated shape context which uses shape interiors. Pattern Recognition. 46(8). 2092–2102. 23 indexed citations
6.
Kakarala, Ramakrishna, et al.. (2012). Human pose tracking by parametric annealing. DR-NTU (Nanyang Technological University). 36–41. 1 indexed citations
7.
Baharav, Z. & Ramakrishna Kakarala. (2011). P‐217L: Late‐News Poster : Glass Impact on Capacitive Touch‐Sensing Algorithms: Thinner and Shaped Cover Glass. SID Symposium Digest of Technical Papers. 42(1). 1856–1859. 2 indexed citations
8.
Kakarala, Ramakrishna, et al.. (2011). Viewpoint invariants from three-dimensional data: The role of reflection in human activity understanding. 417. 57–62. 2 indexed citations
9.
Kakarala, Ramakrishna. (2009). Completeness of bispectrum on compact groups. arXiv (Cornell University). 2 indexed citations
10.
Clausen, Michael & Ramakrishna Kakarala. (2009). Computing Fourier transforms and convolutions of Sn−1-invariant signals on Sn in time linear in n. Applied Mathematics Letters. 23(2). 183–187. 3 indexed citations
11.
Kakarala, Ramakrishna & Z. Baharav. (2003). Adaptive demosaicing with the principal vector method. IEEE Transactions on Consumer Electronics. 48(4). 932–937. 42 indexed citations
12.
Chen, Chia‐Yen, Reinhard Klette, & Ramakrishna Kakarala. (2003). Albedo recovery using a photometric stereo approach. 3. 700–703. 7 indexed citations
13.
Kakarala, Ramakrishna & Philip Ogunbona. (2001). Signal analysis using a multiresolution form of the singular value decomposition. IEEE Transactions on Image Processing. 10(5). 724–735. 93 indexed citations
14.
Coulson, Alan J. & Ramakrishna Kakarala. (1999). Excess delay estimation from time-varying mobile radio channel impulse response measurements. IEEE Communications Letters. 3(8). 239–241. 1 indexed citations
15.
Kakarala, Ramakrishna, et al.. (1998). Disk-harmonic coefficients for invariant pattern recognition. Journal of the Optical Society of America A. 15(2). 389–389. 20 indexed citations
16.
Kakarala, Ramakrishna. (1998). Testing for convexity with Fourier descriptors. Electronics Letters. 34(14). 1392–1393. 10 indexed citations
17.
Kakarala, Ramakrishna, et al.. (1993). Bispectral techniques for spherical functions. IEEE International Conference on Acoustics Speech and Signal Processing. 9. 216–219 vol.4. 8 indexed citations
18.
Kakarala, Ramakrishna & Geoffrey Iverson. (1993). Uniqueness of results for multiple correlations of periodic functions. Journal of the Optical Society of America A. 10(7). 1517–1517. 6 indexed citations
19.
Kakarala, Ramakrishna & Alfred O. Hero. (1992). On achievable accuracy in edge localization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 14(7). 777–781. 40 indexed citations
20.
Uttal, William R., et al.. (1988). The reconstruction of static visual forms from sparse dotted samples. Perception & Psychophysics. 43(3). 223–240. 15 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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