Debasmit Das

492 total citations
19 papers, 303 citations indexed

About

Debasmit Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Debasmit Das has authored 19 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Debasmit Das's work include Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Debasmit Das is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (6 papers) and Multimodal Machine Learning Applications (5 papers). Debasmit Das collaborates with scholars based in United Kingdom, United States and India. Debasmit Das's co-authors include C. S. George Lee, P. Sumathi, Roshan Kumar, Fatih Porikli, Seung-Han Yang, Seokeon Choi, Hyunsin Park, Hong Cai, Hyojin Park and Arka Ghosh and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Instrumentation and Measurement and Engineering Applications of Artificial Intelligence.

In The Last Decade

Debasmit Das

18 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debasmit Das United Kingdom	7	170	135	37	28	25	19	303
Jiayuan Wang China	10	145 0.9×	76 0.6×	30 0.8×	18 0.6×	9 0.4×	30	324
Jiongcheng Li China	7	166 1.0×	117 0.9×	12 0.3×	32 1.1×	5 0.2×	12	344
Jiaxin Chen China	10	286 1.7×	281 2.1×	27 0.7×	37 1.3×	3 0.1×	22	446
Lili Meng China	9	76 0.4×	250 1.9×	19 0.5×	10 0.4×	6 0.2×	27	361
Wankou Yang China	13	231 1.4×	382 2.8×	37 1.0×	14 0.5×	3 0.1×	32	522
Xingxuan Zhang China	7	175 1.0×	108 0.8×	18 0.5×	11 0.4×	3 0.1×	12	263
C. Chinrungrueng Thailand	7	98 0.6×	119 0.9×	65 1.8×	45 1.6×	15 0.6×	22	298
Chongxuan Li China	10	135 0.8×	174 1.3×	21 0.6×	13 0.5×	3 0.1×	20	341
Shumin Han China	7	122 0.7×	190 1.4×	18 0.5×	14 0.5×	3 0.1×	20	288
Linus Ericsson United Kingdom	2	102 0.6×	59 0.4×	25 0.7×	21 0.8×	12 0.5×	3	221

Countries citing papers authored by Debasmit Das

Since Specialization

Citations

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

Fields of papers citing papers by Debasmit Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debasmit Das

This figure shows the co-authorship network connecting the top 25 collaborators of Debasmit Das. A scholar is included among the top collaborators of Debasmit Das 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 Debasmit Das. Debasmit Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Lee, Jungsoo, et al.. (2025). CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation. 25176–25186.

Azarian, Kambiz, Debasmit Das, Hyojin Park, & Fatih Porikli. (2023). Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. 32. 411–420. 2 indexed citations

Das, Debasmit, et al.. (2023). DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction. 23. 19466–19477. 5 indexed citations

Das, Debasmit, et al.. (2023). Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation. 33. 1–5. 5 indexed citations

Lee, Jungsoo, et al.. (2023). Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. 16334–16334. 7 indexed citations

Choi, Seokeon, et al.. (2023). Progressive Random Convolutions for Single Domain Generalization. 10312–10322. 28 indexed citations

Kim, Taekyung, et al.. (2023). Neural Transformation Network to Generate Diverse Views for Contrastive Learning. 4901–4911. 1 indexed citations

Das, Debasmit, et al.. (2022). A Multistage Framework With Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. IEEE Transactions on Image Processing. 31. 4622–4636. 5 indexed citations

Das, Debasmit, et al.. (2022). A Personalized Benchmark for Face Anti-spoofing. 338–348. 4 indexed citations

10.

Yang, Seung-Han, et al.. (2022). Domain Agnostic Few-shot Learning for Speaker Verification. Interspeech 2022. 4 indexed citations

11.

Das, Debasmit, et al.. (2022). Online Adaptive Personalization for Face Anti-Spoofing. 2022 IEEE International Conference on Image Processing (ICIP). 351–355. 1 indexed citations

12.

Park, Hyojin, et al.. (2022). Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1259–1269. 14 indexed citations

13.

Das, Debasmit & C. S. George Lee. (2021). A Constrained Generative Approach to Generalized Zero-shot Object Recognition. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1849–1854. 1 indexed citations

14.

Das, Debasmit, et al.. (2020). Multi-Step Online Unsupervised Domain Adaptation. arXiv (Cornell University). 41172–41576. 11 indexed citations

15.

Das, Debasmit & C. S. George Lee. (2019). A Two-Stage Approach to Few-Shot Learning for Image Recognition. IEEE Transactions on Image Processing. 29. 3336–3350. 116 indexed citations

16.

Das, Debasmit, et al.. (2018). Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration. Purdue e-Pubs (Purdue University System). 6 indexed citations

17.

Das, Debasmit, et al.. (2018). Sample-to-sample correspondence for unsupervised domain adaptation. Engineering Applications of Artificial Intelligence. 73. 80–91. 45 indexed citations

18.

Das, Debasmit, et al.. (2014). A Power-Line Interference Canceler Based on Sliding DFT Phase Locking Scheme for ECG Signals. IEEE Transactions on Instrumentation and Measurement. 64(1). 132–142. 43 indexed citations

19.

Das, Debasmit & Arka Ghosh. (2013). Algorithm for a PSO Tuned Fuzzy Controller of a DC Motor. International Journal of Computer Applications. 73(4). 37–41. 5 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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