Suma Dawn

18 papers receiving 171 citations

Peers

Suma Dawn
Comparison fields: 5 of 70
  • Experimental and Cognitive Psychology 43
  • Industrial and Manufacturing Engineering 29
  • Cognitive Neuroscience 48
  • Human-Computer Interaction 14
  • Strategy and Management 29
Replace Tobias Rieger with:
Tobias Rieger Germany
Malin Nilsson Sweden
Zhiying Zhou Singapore
Jorge Buele Ecuador
Hiroshi Shimoda Japan
Rajnish Ratna Bhutan
Victor V. Kryssanov Japan
Ruosong Yang Hong Kong
Nikolaos Kaklanis Greece
Joseph Mercado United States
Suma Dawn relative to Tobias Rieger Germany Tobias Rieger's profile →
Citations per field
00.5×10×14.5×
Tobias Rieger · 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 24 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 202167
2 202148
3 201917
4 201910
5 20237
6 20235
7 20194
8 20143
9 20183
10 20193
11 20182
12 20142
13 20202
14 20182
15 20192
16 20181
17 20201
18 20241
19 20111
20 20141

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 182 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (3 papers), Emotion and Mood Recognition (3 papers), Medical Image Segmentation Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Artificial Intelligence in Games (2 papers), Algorithms and Data Compression (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (43 citations), Industrial and Manufacturing Engineering (29 citations), Cognitive Neuroscience (48 citations), Human-Computer Interaction (14 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, Goutam Kumar Dalapati, Seeram Ramakrishna, Sajal Biring, Ambati Mounika Sai Krishna, Sabyasachi Chakrabortty, Gopalan Saianand, Prashant Sonar, Chandreswar Mahata and Mohit Sharma. Their work appears in journals such as Sustainability, Biomedical Signal Processing and Control, 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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