K.R. Ramakrishnan

1.8k citations
85 papers · 1.2k indexed · h-index 16

K.R. Ramakrishnan

75 papers receiving 1.2k citations

Peers

K.R. Ramakrishnan
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 826
  • Media Technology 154
  • Signal Processing 134
  • Computer Graphics and Computer-Aided Design 32
  • Human-Computer Interaction 46
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Citations per field
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Citations per year

Countries citing papers authored by K.R. Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by K.R. Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside K.R. Ramakrishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K.R. Ramakrishnan Line = papers co-authored together K.R. Ramakrishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 20241
5 20226
6 20213
7
Design and Development Mems Based Microneedle for Transdermal Drug Delivery System
20184
8 20144
9
Motion segmentation using curve fitting on Lagrangian particle trajectories
20121
10
Mems-based wide range tunable Fabry Perot filter
20121
11 20122
12 20081
13
Kernels on Attributed Pointsets with Applications
20079
14 200410
15
Background Sprite Generation Using MPEG Motion Vectors.
20022
16 200211
17 19993
18 199229
19 198413
20
Hierarchical Systems and Cooperative Games of Learning Automata
198214

About K.R. Ramakrishnan

K.R. Ramakrishnan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design, Media Technology and Artificial Intelligence, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Advanced Image and Video Retrieval Techniques (11 papers), Video Analysis and Summarization (10 papers), Video Surveillance and Tracking Methods (10 papers), Image and Signal Denoising Methods (8 papers), Image Retrieval and Classification Techniques (7 papers), Advanced MEMS and NEMS Technologies (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (826 citations), Media Technology (154 citations), Signal Processing (134 citations), Computer Graphics and Computer-Aided Design (32 citations) and Human-Computer Interaction (46 citations). K.R. Ramakrishnan has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Ramakrishnan Mukundan, R. Venkatesh Babu, Shalini Prasad, M.A.L. Thathachar, Mohan Kankanhalli, N. Srinivasa, Pradeep K. Atrey, Rohini Balakrishnan, Lek Heng Ngoh and Shyam Srinivasan. Their work appears in journals such as Multimedia Tools and Applications, Sadhana, Information Sciences, Nonlinear Analysis Real World Applications and Signal Processing Image Communication.

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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