C.R. Hema

545 citations
42 papers · 414 · h-index 10

Impact in

Papers in

C.R. Hema

38 papers receiving 388 citations

Peers

C.R. Hema
Comparison fields: 5 of 80
  • Human-Computer Interaction 87
  • Cognitive Neuroscience 219
  • Signal Processing 68
  • Cellular and Molecular Neuroscience 66
  • Analytical Chemistry 35
Replace Koel Das with:
Koel Das United States
Sergei L. Shishkin Russia
Shuyue Jia China
Mads Dyrholm Denmark
Tatsuyuki Kawamura Japan
Ignas Martišius Lithuania
Shubham Dodia India
Amine Naït‐Ali France
Qingming Liu China
Yoshikazu Washizawa Japan
C.R. Hema relative to Koel Das United States Koel Das's profile →
Citations per field
00.5×6.2×
Koel Das · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202366
2 200852
3 201546
4
Color recognition algorithm using a neural network model in determining the ripeness of a Banana
200946
5 200837
6 201018
7 201115
8 200713
9 200713
10 200710
11 20089
12 20149
13 20138
14 20097
15 20086
16 20086
17 20066
18 20115
19 20104
20 20134

About C.R. Hema

C.R. Hema is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 414 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (11 papers), Blind Source Separation Techniques (9 papers), Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (6 papers), Neural Networks and Applications (6 papers), Gaze Tracking and Assistive Technology (6 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Human-Computer Interaction (87 citations), Cognitive Neuroscience (219 citations), Signal Processing (68 citations), Cellular and Molecular Neuroscience (66 citations) and Analytical Chemistry (35 citations). C.R. Hema has collaborated with scholars based in Malaysia, India and Spain. Frequent co-authors include M.P. Paulraj, Fausto Pedro Garcı́a Márquez, Abdul Hamid Adom, R. Nagarajan, Sazali Yaacob, Kamalraj Subramaniam, Ahmed Osman, Hazry Desa, Sazali Yaacob and Abdul Hamid. Their work appears in journals such as Advances in experimental medicine and biology, Scientific Reports, Journal of Intelligent & Fuzzy Systems, Applied Acoustics and Biomedical Signal Processing and Control.

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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