C.R. Hema

545 citations
39 papers · 365 · h-index 10

Impact in

Papers in

C.R. Hema

35 papers receiving 344 citations

Peers

C.R. Hema
Comparison fields: 5 of 79
  • Human-Computer Interaction 78
  • Cognitive Neuroscience 192
  • Signal Processing 57
  • Cellular and Molecular Neuroscience 58
  • Analytical Chemistry 27
Replace Mads Dyrholm with:
Mads Dyrholm Denmark
Shuyue Jia China
Stephen M. Gordon United States
Sergei L. Shishkin Russia
Christoph Rasche Romania
Kaiwen Cheng China
Yoshikazu Washizawa Japan
Mathias Franzius Germany
Qingming Liu China
C.R. Hema relative to Mads Dyrholm Denmark Mads Dyrholm's profile →
Citations per field
00.5×3.1×
Mads Dyrholm · 1×
Citations per year

Countries citing papers authored by C.R. Hema

Since Specialization
Citations

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

Fields of papers citing papers by C.R. Hema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside C.R. Hema, 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 C.R. Hema Line = papers co-authored together C.R. Hema links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202362
2 200846
3 201545
4
Color recognition algorithm using a neural network model in determining the ripeness of a Banana
200936
5 200834
6 201114
7 201014
8 200713
9 200712
10 20149
11 20088
12 20138
13 20077
14 20097
15 20066
16 20085
17 20134
18 20144
19 20103
20 20083

About C.R. Hema

C.R. Hema is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 365 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (26 papers), Neuroscience and Neural Engineering (11 papers), Blind Source Separation Techniques (9 papers), Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (5 papers), Neural Networks and Applications (5 papers), Gaze Tracking and Assistive Technology (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Cognitive Neuroscience (192 citations), Signal Processing (57 citations), Cellular and Molecular Neuroscience (58 citations) and Analytical Chemistry (27 citations). C.R. Hema has collaborated with scholars based in Malaysia, India and United States. Frequent co-authors include M.P. Paulraj, Fausto Pedro Garcı́a Márquez, Abdul Hamid Adom, Kamalraj Subramaniam, Sazali Yaacob, R. Nagarajan, Ahmed Osman, Hazry Desa, Sazali Yaacob and Sazali Yaacob. Their work appears in journals such as Applied Acoustics, Advances in experimental medicine and biology, Biomedical Signal Processing and Control, Journal of Intelligent & Fuzzy Systems and Scientific Reports.

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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