K. Anandakumar

442 citations
18 papers · 348 · h-index 7

Impact in

Papers in

K. Anandakumar

18 papers receiving 308 citations

Peers

K. Anandakumar
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 116
  • Health Information Management 22
  • Computer Networks and Communications 114
  • Human-Computer Interaction 26
  • Information Systems 82
Replace Ismini Psychoula with:
Ismini Psychoula United Kingdom
Nawaz Ali Mohamudally Mauritius
Sarah Masud Preum United States
Jeunwoo Lee South Korea
Erbuğ Çelebi Cyprus
Luis Hideo Vasconcelos Nakamura Brazil
Erik Berglund Sweden
S. Mohanavalli India
Reza Ghanbarzadeh Australia
Arjmand Samuel United States
K. Anandakumar relative to Ismini Psychoula United Kingdom Ismini Psychoula's profile →
Citations per field
00.5×2×4×5.8×
Ismini Psychoula · 1×
Citations per year

Countries citing papers authored by K. Anandakumar

Since Specialization
Citations

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

Fields of papers citing papers by K. Anandakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside K. Anandakumar, 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. Anandakumar Line = papers co-authored together K. Anandakumar links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2015156
2 201057
3 201055
4 201121
5 199714
6 200811
7 20127
8 20135
9 20155
10 20094
11 20103
12 20152
13 20152
14 20122
15 20021
16 20151
17 20021
18 20141

About K. Anandakumar

K. Anandakumar is a scholar working on Health Information Management, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Artificial Intelligence, having authored 18 papers that have together received 348 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Blind Source Separation Techniques (2 papers), Team Dynamics and Performance (2 papers), Advanced Adaptive Filtering Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Hand Gesture Recognition Systems (2 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Health Information Management (22 citations), Computer Networks and Communications (114 citations), Human-Computer Interaction (26 citations) and Information Systems (82 citations). K. Anandakumar has collaborated with scholars based in India and United States. Frequent co-authors include M. Punithavalli, A. Bharathi, M. Sangeetha and S.A. Kassam. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Transactions on Consumer Electronics, Journal of Biomaterials and Tissue Engineering, International Journal of Business and Globalisation and International Journal of Advanced Computer Science and Applications.

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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