Dibyendu Das

1.0k total citations
43 papers, 718 citations indexed

About

Dibyendu Das is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Dibyendu Das has authored 43 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Hardware and Architecture and 8 papers in Computer Networks and Communications. Recurrent topics in Dibyendu Das's work include Parallel Computing and Optimization Techniques (7 papers), Visual Attention and Saliency Detection (5 papers) and Phytoestrogen effects and research (5 papers). Dibyendu Das is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Visual Attention and Saliency Detection (5 papers) and Phytoestrogen effects and research (5 papers). Dibyendu Das collaborates with scholars based in India, United States and Canada. Dibyendu Das's co-authors include Nur A. Touba, Jatin Kalita, Prasenjit Manna, Sawlang Borsingh Wann, Sanjib Sarkar, Riya Datta, Prachurjya Dutta, J. Ghosh-Dastidar, Subhash Chandra Panja and Srinjoy Das and has published in prestigious journals such as ACS Applied Materials & Interfaces, Carbohydrate Polymers and Food Research International.

In The Last Decade

Dibyendu Das

38 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dibyendu Das India 14 206 190 140 80 68 43 718
Kwang‐Il Park South Korea 27 105 0.5× 283 1.5× 816 5.8× 84 1.1× 110 1.6× 128 2.1k
Jingya Zhou China 20 44 0.2× 159 0.8× 129 0.9× 93 1.2× 50 0.7× 116 1.2k
Wenlong Wei China 14 133 0.6× 170 0.9× 249 1.8× 11 0.1× 23 0.3× 70 798
Ziming Zheng China 26 75 0.4× 101 0.5× 389 2.8× 28 0.3× 35 0.5× 59 1.7k
Praveen Thaggikuppe Krishnamurthy India 23 428 2.1× 68 0.4× 516 3.7× 91 1.1× 57 0.8× 136 2.1k
Xueyan Wang China 17 129 0.6× 338 1.8× 265 1.9× 16 0.2× 63 0.9× 79 981
Chanho Lee South Korea 13 30 0.1× 113 0.6× 159 1.1× 26 0.3× 23 0.3× 67 837
Hyojun Kim South Korea 14 299 1.5× 91 0.5× 142 1.0× 112 1.4× 15 0.2× 38 1.1k
Dongmei Wang China 16 97 0.5× 33 0.2× 273 1.9× 46 0.6× 35 0.5× 102 1.6k
Taewhan Kim South Korea 16 345 1.7× 574 3.0× 173 1.2× 37 0.5× 32 0.5× 133 1.1k

Countries citing papers authored by Dibyendu Das

Since Specialization
Citations

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

Fields of papers citing papers by Dibyendu Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dibyendu Das

This figure shows the co-authorship network connecting the top 25 collaborators of Dibyendu Das. A scholar is included among the top collaborators of Dibyendu 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 Dibyendu Das. Dibyendu Das 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.
Das, Dibyendu, et al.. (2024). Motion Memory: Leveraging Past Experiences to Accelerate Future Motion Planning. 16467–16474. 6 indexed citations
3.
Das, Dibyendu, Sawlang Borsingh Wann, Jatin Kalita, & Prasenjit Manna. (2023). Insight into the efficacy profile of fermented soy foods against diabetes. Food Bioscience. 53. 102665–102665. 8 indexed citations
4.
Das, Dibyendu, et al.. (2023). Encoder and Decoder-Based Feature Fusion Network for Single Image Dehazing. 1–5. 3 indexed citations
5.
Das, Dibyendu, et al.. (2023). Real-time object detection in deep foggy conditions using transformers. 38. 1–5. 1 indexed citations
8.
Jain, Shalini, et al.. (2022). Reinforcement Learning assisted Loop Distribution for Locality and Vectorization. 1–12. 1 indexed citations
9.
Das, Dibyendu, Sanjib Sarkar, Sawlang Borsingh Wann, Jatin Kalita, & Prasenjit Manna. (2021). Current perspectives on the anti-inflammatory potential of fermented soy foods. Food Research International. 152. 110922–110922. 35 indexed citations
10.
Das, Dibyendu, et al.. (2021). Antidiabetic potential of soy protein/peptide: A therapeutic insight. International Journal of Biological Macromolecules. 194. 276–288. 45 indexed citations
11.
Sarkar, Sanjib, Dibyendu Das, Sawlang Borsingh Wann, Jatin Kalita, & Prasenjit Manna. (2021). Is diabetes mellitus a wrongdoer to COVID-19 severity?. Diabetes Research and Clinical Practice. 178. 108936–108936. 8 indexed citations
12.
Das, Dibyendu, et al.. (2021). Convexity and Contrast Guided Gate Mechanism for Salient Object Detection. 1–7. 1 indexed citations
13.
Sarkar, Sanjib, Dibyendu Das, Prachurjya Dutta, et al.. (2020). Chitosan: A promising therapeutic agent and effective drug delivery system in managing diabetes mellitus. Carbohydrate Polymers. 247. 116594–116594. 102 indexed citations
14.
Das, Dibyendu, et al.. (2020). Deep Learning-based Approximate Graph-Coloring Algorithm for Register Allocation. 23–32. 7 indexed citations
15.
Das, Dibyendu, et al.. (2018). Daidzein, its effects on impaired glucose and lipid metabolism and vascular inflammation associated with type 2 diabetes. BioFactors. 44(5). 407–417. 95 indexed citations
16.
Das, Dibyendu, et al.. (2017). Work-in-progress: Verifying stability guarantees of control software implementations in the presence of sensor level faults. 1 indexed citations
17.
Das, Dibyendu & Peng Wu. (2010). Experiences of using a dependence profiler to assist parallelization for multi-cores. 1–8. 8 indexed citations
18.
Das, Dibyendu, et al.. (2008). Compiler-controlled extraction of computation-communication overlap in MPI applications. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–8. 5 indexed citations
19.
Das, Dibyendu, Pallab Dasgupta, & Partha Pratim Das. (2002). A new method for transparent fault tolerance of distributed programs on a network of workstations using alternative schedules. 479–486. 2 indexed citations
20.

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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