Saikat Basu

2.6k total citations · 1 hit paper
34 papers, 1.6k citations indexed

About

Saikat Basu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Saikat Basu has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Saikat Basu's work include Emotion and Mood Recognition (6 papers), Remote Sensing in Agriculture (5 papers) and Remote-Sensing Image Classification (5 papers). Saikat Basu is often cited by papers focused on Emotion and Mood Recognition (6 papers), Remote Sensing in Agriculture (5 papers) and Remote-Sensing Image Classification (5 papers). Saikat Basu collaborates with scholars based in India, United States and Israel. Saikat Basu's co-authors include Guan Pang, İlke Demir, Krzysztof Koperski, Devis Tuia, Ramesh Raskar, Jing Huang, Sangram Ganguly, Supratik Mukhopadhyay, Ramakrishna Nemani and Robert DiBiano and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Saikat Basu

29 papers receiving 1.5k citations

Hit Papers

DeepGlobe 2018: A Challenge to Parse the Earth through Sa... 2018 2026 2020 2023 2018 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
    2018 759 citations İlke Demir, Krzysztof Koperski et al. arXiv (Cornell University) profile →

Peers

Saikat Basu
Hong Sun China
Chu He China
Dong-Chen He Canada
Jens Leitloff Germany
Zehua Huang China
Wei Song China
Huanxin Zou China
Junjue Wang China
Hong Sun China
Saikat Basu
Citations per year, relative to Saikat Basu Saikat Basu (= 1×) peers Hong Sun

Countries citing papers authored by Saikat Basu

Since Specialization
Citations

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

Fields of papers citing papers by Saikat Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saikat Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Saikat Basu. A scholar is included among the top collaborators of Saikat Basu 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 Saikat Basu. Saikat Basu 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.
Chakraborty, Sanjay, et al.. (2024). Deep learning inspired game-based cognitive assessment for early dementia detection. Engineering Applications of Artificial Intelligence. 142. 109901–109901.
2.
Basu, Saikat, et al.. (2024). Prospects of Optical Wireless Communications in Non-Terrestrial Networks. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 1–4.
3.
Basu, Saikat, et al.. (2024). TEACHERS ENGAGEMENT IN ACADEMIC MOTIVATION OF SCHOOL STUDENTS. 15(1). 1–10.
4.
5.
Basu, Saikat, et al.. (2023). Remote Sensing Based Land Cover Classification Using Machine Learning and Deep Learning: A Comprehensive Survey. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 1 indexed citations
6.
Basu, Saikat, et al.. (2020). Gait-Based Person Identification, Gender Classification, and Age Estimation: A Review. Advances in intelligent systems and computing. 62–74. 4 indexed citations
7.
Basu, Saikat, et al.. (2019). Building High Resolution Maps for Humanitarian Aid and Development with Weakly- and Semi-Supervised Learning. Computer Vision and Pattern Recognition. 1–9. 27 indexed citations
8.
Singh, Suriya, et al.. (2019). Improved Road Connectivity by Joint Learning of Orientation and Segmentation. PolyPublie (École Polytechnique de Montréal). 10377–10385. 159 indexed citations
9.
Singh, Suriya, Guan Pang, Lorenzo Torresani, et al.. (2018). Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery.. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 102. 29 indexed citations
10.
Demir, İlke, Krzysztof Koperski, Guan Pang, et al.. (2018). DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images. arXiv (Cornell University). 172–17209. 759 indexed citations breakdown →
11.
Basu, Saikat, Supratik Mukhopadhyay, Manohar Karki, et al.. (2017). Deep neural networks for texture classification—A theoretical analysis. Neural Networks. 97. 173–182. 56 indexed citations
12.
Basu, Saikat, et al.. (2017). Deploying a quantum annealing processor to detect tree cover in aerial imagery of California. PLoS ONE. 12(2). e0172505–e0172505. 36 indexed citations
13.
Basu, Saikat, et al.. (2017). Affect Detection from Speech using Deep Convolutional Neural Network Architecture. 3. 1–5. 2 indexed citations
14.
Golab, Wojciech, et al.. (2017). Adaptable SLA-Aware Consistency Tuning for Quorum-Replicated Datastores. IEEE Transactions on Big Data. 3(3). 248–261. 3 indexed citations
15.
Basu, Saikat, Manohar Karki, Sangram Ganguly, et al.. (2016). Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Processing Letters. 45(3). 855–867. 46 indexed citations
16.
Choi, Sungho, Christopher P. Kempes, Taejin Park, et al.. (2016). Application of the metabolic scaling theory and water–energy balance equation to model large‐scale patterns of maximum forest canopy height. Global Ecology and Biogeography. 25(12). 1428–1442. 8 indexed citations
17.
Basu, Saikat, et al.. (2015). Emotion recognition based on physiological signals using valence-arousal model. 50–55. 32 indexed citations
18.
Basu, Saikat, Sangram Ganguly, Supratik Mukhopadhyay, et al.. (2015). DeepSat. Civil War Book Review. 1–10. 208 indexed citations
19.
Basu, Saikat, et al.. (2015). An Agile Framework for Real-Time Motion Tracking. Civil War Book Review. 1. 205–210. 1 indexed citations
20.
Basu, Saikat, et al.. (2011). Uncoercibility In E-Voting And E-Auctioning Mechanisms Using Deniable Encryption. International Journal of Network Security & Its Applications. 3(2). 97–109. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hong Sun Breakdown of academic impact, for papers by Chu He Breakdown of academic impact, for papers by Dong-Chen He Breakdown of academic impact, for papers by Jens Leitloff Breakdown of academic impact, for papers by Zehua Huang Breakdown of academic impact, for papers by Wei Song Breakdown of academic impact, for papers by Huanxin Zou Breakdown of academic impact, for papers by Junjue Wang
Rankless by CCL
2026