Suma Dawn

18 papers receiving 167 citations

Peers

Suma Dawn
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 30
  • Experimental and Cognitive Psychology 43
  • Human-Computer Interaction 14
  • Cognitive Neuroscience 49
  • Strategy and Management 29
Replace Mohamed Mohana with:
Mohamed Mohana Saudi Arabia
Tobias Rieger Germany
Malin Nilsson Sweden
Nicola Macchiarulo Italy
Fawad Naseer Pakistan
Jorge Buele Ecuador
Zhiying Zhou Singapore
Ian Davies United Kingdom
Sangwon Lee South Korea
Hsin-Hsi Lai Taiwan
Suma Dawn relative to Mohamed Mohana Saudi Arabia Mohamed Mohana's profile →
Citations per field
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Mohamed Mohana · 1×
Citations per year

Countries citing papers authored by Suma Dawn

Since Specialization
Citations

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

Fields of papers citing papers by Suma Dawn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suma Dawn, 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 Suma Dawn Line = papers co-authored together Suma Dawn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 202148
3 201917
4 201910
5 20235
6 20234
7 20194
8 20143
9 20183
10 20193
11 20192
12 20202
13 20142
14 20182
15 20182
16 20241
17 20201
18 20181
19 20141
20 20111

About Suma Dawn

Suma Dawn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology and Sociology and Political Science, having authored 26 papers that have together received 178 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Emotion and Mood Recognition (3 papers), Neural dynamics and brain function (3 papers), Artificial Intelligence in Games (2 papers), Image Retrieval and Classification Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (30 citations), Experimental and Cognitive Psychology (43 citations), Human-Computer Interaction (14 citations), Cognitive Neuroscience (49 citations) and Strategy and Management (29 citations). Suma Dawn has collaborated with scholars based in India, Singapore and South Korea. Frequent co-authors include Abhishek Verma, Seeram Ramakrishna, Goutam Kumar Dalapati, Gopalan Saianand, Chandreswar Mahata, Mohit Sharma, Jatindra Kumar Dash, Sajal Biring, Sabyasachi Chakrabortty and Prashant Sonar. Their work appears in journals such as Biomedical Signal Processing and Control, Sustainability, International Journal of Neuroscience, Signal Image and Video Processing and International Journal of Grid and Utility Computing.

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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