Suma Dawn

440 total citations
26 papers, 178 citations indexed

About

Suma Dawn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Suma Dawn has authored 26 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Suma Dawn's work include EEG and Brain-Computer Interfaces (5 papers), Emotion and Mood Recognition (3 papers) and Neural dynamics and brain function (3 papers). Suma Dawn is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Emotion and Mood Recognition (3 papers) and Neural dynamics and brain function (3 papers). Suma Dawn collaborates with scholars based in India, Singapore and Australia. Suma Dawn's co-authors include Abhishek Verma, Goutam Kumar Dalapati, Seeram Ramakrishna, Deepak Verma, Chandreswar Mahata, Jatindra Kumar Dash, Pragya Gupta, Ambati Mounika Sai Krishna, Gopalan Saianand and Prashant Sonar and has published in prestigious journals such as Sustainability, Biomedical Signal Processing and Control and International Journal of Neuroscience.

In The Last Decade

Suma Dawn

18 papers receiving 167 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suma Dawn India 5 49 43 36 30 29 26 178
Tobias Rieger Germany 11 47 1.0× 18 0.4× 3 0.1× 22 0.7× 2 0.1× 27 262
Mohamed Mohana Saudi Arabia 7 63 1.3× 80 1.9× 19 0.5× 10 0.3× 12 289
Jorge Buele Ecuador 9 18 0.4× 9 0.2× 11 0.3× 4 0.1× 5 0.2× 43 233
Zhiying Zhou Singapore 9 40 0.8× 16 0.4× 20 0.6× 15 0.5× 24 289
Malin Nilsson Sweden 6 12 0.2× 16 0.4× 26 0.7× 11 0.4× 8 348
Nicola Macchiarulo Italy 8 14 0.3× 24 0.6× 18 0.5× 24 0.8× 1 0.0× 20 210
Hsin-Hsi Lai Taiwan 7 25 0.5× 129 3.0× 7 0.2× 2 0.1× 8 0.3× 14 382
Ian Davies United Kingdom 6 25 0.5× 9 0.2× 7 0.2× 3 0.1× 16 0.6× 12 124
Fawad Naseer Pakistan 9 5 0.1× 5 0.1× 20 0.6× 18 0.6× 5 0.2× 18 199
Joseph Mercado United States 5 61 1.2× 43 1.0× 14 0.4× 2 0.1× 3 0.1× 13 388

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-authorship network of co-authors of Suma Dawn

This figure shows the co-authorship network connecting the top 25 collaborators of Suma Dawn. A scholar is included among the top collaborators of Suma Dawn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suma Dawn. Suma Dawn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Dawn, Suma, et al.. (2024). Detection of crop disorder using deep learning. International Journal of Grid and Utility Computing. 15(1). 65–74. 1 indexed citations
4.
Brindha, R., Suma Dawn, Biswajit Mandal, et al.. (2023). Predicting Active Solar Power with Machine Learning and Weather Data. 5(1). 4 indexed citations
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Dawn, Suma, et al.. (2023). Detection and Staging of Lung Cancer from CT scan Images by Deep Learning. 274–278. 5 indexed citations
6.
Dawn, Suma, et al.. (2022). River Course Change Detection using Remote Sensing Imaging. 2. 108–113.
7.
Gupta, Pragya, Chandreswar Mahata, Suma Dawn, et al.. (2021). Efficient Plastic Recycling and Remolding Circular Economy Using the Technology of Trust–Blockchain. Sustainability. 13(16). 9142–9142. 66 indexed citations
8.
Dawn, Suma, et al.. (2021). Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals. International Journal of Neuroscience. 133(6). 587–597. 48 indexed citations
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Dawn, Suma, et al.. (2020). Agent-based Learning for Auto-Navigation within the Virtual City. 7–12. 1 indexed citations
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Verma, Abhishek, et al.. (2019). FIND: Fake Information and News Detections using Deep Learning. 17 indexed citations
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Dawn, Suma, et al.. (2019). Learning-based classification of valence emotion from electroencephalography. International Journal of Neuroscience. 129(11). 1085–1093. 10 indexed citations
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Dawn, Suma, et al.. (2019). StudieMe: College Recommendation System. 227–232. 4 indexed citations
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Dawn, Suma, et al.. (2018). Audio Acoustic Features Based Tagging and Comparative Analysis of its Classifications. 1–5. 3 indexed citations
17.
Kaushik, Prashant, et al.. (2015). Game Play Evaluation Metrics. International Journal of Computer Applications. 117(3). 32–35.
18.
Dawn, Suma, Vikas Saxena, & Bhu Dev Sharma. (2014). Advanced free-form deformation and Kullback–Lieblier divergence measure for digital elevation model registration. Signal Image and Video Processing. 9(7). 1625–1635. 3 indexed citations
19.
Dawn, Suma, et al.. (2014). Military Simulator - A Case Study of Behaviour Tree and Unity based architecture. International Journal of Computer Applications. 88(5). 26–29. 2 indexed citations
20.
Dawn, Suma, et al.. (2014). Corrective Self Defence Training Unit using sensing of Kinect Maps. International Journal of Computer Applications. 89(10). 8–11. 1 indexed citations

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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