Seba Susan

2.2k total citations
105 papers, 1.3k citations indexed

About

Seba Susan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Seba Susan has authored 105 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 47 papers in Computer Vision and Pattern Recognition and 11 papers in Media Technology. Recurrent topics in Seba Susan's work include Image Retrieval and Classification Techniques (22 papers), Face and Expression Recognition (14 papers) and Text and Document Classification Technologies (11 papers). Seba Susan is often cited by papers focused on Image Retrieval and Classification Techniques (22 papers), Face and Expression Recognition (14 papers) and Text and Document Classification Technologies (11 papers). Seba Susan collaborates with scholars based in India and Australia. Seba Susan's co-authors include Srishti Vashishtha, Manisha Saini, M. Hanmandlu, Amitesh Kumar, Monika Sharma, Om Prakash Verma, Puneet Jain, Vamsi Krishna Madasu, Prachi Agrawal and Muralidhar Kulkarni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Seba Susan

94 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seba Susan India 19 707 447 190 145 106 105 1.3k
Yudong Tao United States 13 622 0.9× 385 0.9× 110 0.6× 50 0.3× 107 1.0× 50 1.5k
Min Lin China 15 831 1.2× 991 2.2× 83 0.4× 140 1.0× 60 0.6× 40 1.9k
Andreas Veit United States 14 613 0.9× 646 1.4× 120 0.6× 73 0.5× 60 0.6× 21 1.3k
Po-Yao Huang United States 16 1.1k 1.6× 1.1k 2.4× 95 0.5× 79 0.5× 78 0.7× 56 2.3k
Yilin Yan United States 10 635 0.9× 352 0.8× 95 0.5× 48 0.3× 122 1.2× 23 1.3k
Minh-Thang Luong United States 12 1.8k 2.5× 1.1k 2.4× 158 0.8× 93 0.6× 131 1.2× 20 2.5k
Mohammad Ali Balafar Iran 20 648 0.9× 792 1.8× 153 0.8× 121 0.8× 149 1.4× 90 1.6k
Ashish Jaiswal United States 7 535 0.8× 413 0.9× 58 0.3× 70 0.5× 125 1.2× 17 1.2k
Abeer D. Algarni Saudi Arabia 23 629 0.9× 523 1.2× 216 1.1× 125 0.9× 210 2.0× 153 2.2k

Countries citing papers authored by Seba Susan

Since Specialization
Citations

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

Fields of papers citing papers by Seba Susan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seba Susan

This figure shows the co-authorship network connecting the top 25 collaborators of Seba Susan. A scholar is included among the top collaborators of Seba Susan 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 Seba Susan. Seba Susan 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
1.
Susan, Seba, et al.. (2025). Leveraging QEEG neuro-biomarkers of alcohol-related visual cognitive impairment for alcohol abuse and dependence diagnosis. Applied Neuropsychology Adult. 1–12. 1 indexed citations
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Susan, Seba, et al.. (2025). Non-stationary fuzzy time series modeling and forecasting using deep learning with swarm optimization. International Journal of Machine Learning and Cybernetics. 16(9). 5569–5587.
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Susan, Seba, et al.. (2024). Linear Monotonic Inter-electrode Associations as Quantitative EEG for Alcoholism Diagnosis. International Journal of Computational Intelligence Systems. 17(1). 2 indexed citations
7.
Ray, Santosh Kumar & Seba Susan. (2024). Performance Analysis of Online Machine Learning Frameworks for Anomaly Detection in IoT Data Streams. 1–5. 1 indexed citations
8.
Barman, Travis & Seba Susan. (2024). Multi-Label Remote Sensing Image Classification using MobileNetV2. 1–4. 1 indexed citations
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Tanwar, Manoj & Seba Susan. (2024). Performance Evaluation of Deep Pre-Trained Models Under Progressive Blur. 1254–1258.
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Ranga, Virender, et al.. (2024). Speaker independent recognition of low-resourced multilingual Arabic spoken words through hybrid fusion. Multimedia Tools and Applications. 83(35). 82533–82561. 3 indexed citations
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Susan, Seba, et al.. (2023). Deep fusion framework for speech command recognition using acoustic and linguistic features. Multimedia Tools and Applications. 82(25). 38667–38691. 9 indexed citations
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Saini, Manisha & Seba Susan. (2022). Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets. Computers in Biology and Medicine. 149. 105989–105989. 44 indexed citations
16.
Susan, Seba, et al.. (2020). COVID-19 Pandemic Prediction using Time Series Forecasting Models. arXiv (Cornell University). 1–7. 56 indexed citations
17.
Susan, Seba, et al.. (2020). Recognising Devanagari Script by Deep Structure Learning of Image Quadrants. DESIDOC Journal of Library & Information Technology. 40(5). 268–271. 8 indexed citations
18.
Susan, Seba, et al.. (2019). Finding significant keywords for document databases by two-phase Maximum Entropy Partitioning. Pattern Recognition Letters. 125. 195–205. 14 indexed citations
19.
Susan, Seba & M. Hanmandlu. (2018). Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain. Multidimensional Systems and Signal Processing. 30(3). 1469–1488. 5 indexed citations
20.
Susan, Seba & Ankit Kumar. (2016). Auto-segmentation using mean-shift and entropy analysis. International Conference on Computing for Sustainable Global Development. 292–296. 8 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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