Debajit Datta

518 total citations
26 papers, 357 citations indexed

About

Debajit Datta is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Debajit Datta has authored 26 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Debajit Datta's work include Heat Transfer and Optimization (4 papers), Refrigeration and Air Conditioning Technologies (3 papers) and Heat Transfer and Boiling Studies (3 papers). Debajit Datta is often cited by papers focused on Heat Transfer and Optimization (4 papers), Refrigeration and Air Conditioning Technologies (3 papers) and Heat Transfer and Boiling Studies (3 papers). Debajit Datta collaborates with scholars based in India, United Kingdom and United States. Debajit Datta's co-authors include S.A. Tassou, D. L. Marriott, B.B. Pal, Lalit Garg, Kathiravan Srinivasan, Soumya Roy, J. P. Banerjee, N. Z. Jhanjhi, Abdulellah A. Alaboudi and A.M.S. Zalzala and has published in prestigious journals such as RSC Advances, IEEE Transactions on Electron Devices and Applied Thermal Engineering.

In The Last Decade

Debajit Datta

23 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debajit Datta India 11 115 93 55 51 33 26 357
Xu Ma China 10 133 1.2× 30 0.3× 16 0.3× 52 1.0× 9 0.3× 44 511
Jiapin Chen China 13 59 0.5× 112 1.2× 87 1.6× 12 0.2× 42 1.3× 38 429
Run Chen China 12 36 0.3× 133 1.4× 41 0.7× 22 0.4× 34 1.0× 23 428
Seongsin Kim United States 8 121 1.1× 158 1.7× 41 0.7× 62 1.2× 143 4.3× 14 565
Chang Soo Kim South Korea 9 31 0.3× 223 2.4× 54 1.0× 25 0.5× 48 1.5× 33 526
Yuhao Huang China 13 22 0.2× 369 4.0× 45 0.8× 40 0.8× 42 1.3× 57 521
Sihyung Lee South Korea 11 58 0.5× 173 1.9× 79 1.4× 18 0.4× 13 0.4× 45 455
Usman Masud Pakistan 13 45 0.4× 109 1.2× 30 0.5× 18 0.4× 20 0.6× 40 444
Daniel Slomovitz Brazil 9 83 0.7× 407 4.4× 21 0.4× 10 0.2× 10 0.3× 90 500
Zhiyuan Ma China 11 59 0.5× 241 2.6× 121 2.2× 29 0.6× 64 1.9× 53 476

Countries citing papers authored by Debajit Datta

Since Specialization
Citations

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

Fields of papers citing papers by Debajit Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debajit Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Debajit Datta. A scholar is included among the top collaborators of Debajit Datta 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 Debajit Datta. Debajit Datta 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
2.
Srinivasan, Kathiravan, et al.. (2021). Performance Comparison of Deep CNN Models for Detecting Driver’s Distraction. Computers, materials & continua/Computers, materials & continua (Print). 68(3). 4109–4124. 57 indexed citations
3.
Datta, Debajit, et al.. (2020). Products And Movie Recommendation System For Social Networking Sites. International journal of scientific and technology research. 9(10). 262–270. 4 indexed citations
4.
Datta, Debajit, et al.. (2020). Performance Enhancement Of Customer Segmentation Using A Distributed Python Framework, Ray. International journal of scientific and technology research. 9(11). 130–139. 4 indexed citations
5.
Datta, Debajit, et al.. (2020). Optimization of an Automated Examination Generation System Using Hybrid Recurrent Neural Network. SSRN Electronic Journal. 3 indexed citations
6.
Datta, Debajit, et al.. (2020). Exploration of Various Attacks and Security Measures Related to the Internet of Things. International Journal of Recent Technology and Engineering (IJRTE). 9(2). 175–184. 4 indexed citations
7.
Datta, Debajit, et al.. (2020). Neural Machine Translation using Recurrent Neural Network. International Journal of Engineering and Advanced Technology. 9(4). 1395–1400. 32 indexed citations
8.
Datta, Debajit, et al.. (2020). Software Architecture Recovery Techniques. International Journal of Engineering and Advanced Technology. 9(4). 856–859.
9.
Dixit, Hemant, Samarth Agarwal, Debajit Datta, et al.. (2018). Evaluation of Thermal Stability of Spin-Transfer Torque based Magnoresistive Random-Access Memory for Cache Applications in Advanced Technology Nodes. 2018 IEEE International Magnetics Conference (INTERMAG). 1–1. 1 indexed citations
10.
Agarwal, Samarth, Hemant Dixit, Debajit Datta, et al.. (2018). Rowhammer for Spin Torque based Memory: Problem or not?. 2018 IEEE International Magnetics Conference (INTERMAG). 1–1. 10 indexed citations
11.
Datta, Debajit, et al.. (2004). Sensitivity of refrigeration system performance to charge levels and parameters for on-line leak detection. Applied Thermal Engineering. 25(4). 557–566. 70 indexed citations
12.
Datta, Debajit, et al.. (2002). Comparison Of Hermetic Scroll And Reciprocating Compressors Operating Under Varying Refrigerant Charge And Load. Purdue e-Pubs (Purdue University System). 4 indexed citations
13.
Tassou, S.A., Debajit Datta, & D. L. Marriott. (2001). Frost formation and defrost control parameters for open multideck refrigerated food display cabinets. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 215(2). 213–222. 36 indexed citations
14.
Datta, Debajit & S.A. Tassou. (1998). Artificial neural network based electrical load prediction for food retail stores. Applied Thermal Engineering. 18(11). 1121–1128. 12 indexed citations
15.
Chaiyaratana, Nachol, A.M.S. Zalzala, & Debajit Datta. (1996). Myoelectric Signals Pattern Recognition for Intelligent Functional Operation of Upper-Limb Prosthesis. Wiener klinische Wochenschrift. 64(34). 598–603. 17 indexed citations
16.
Tassou, S.A., et al.. (1996). Application of neural networks for the prediction of energy use in supermarket buildings. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
17.
18.
Datta, Debajit & B.B. Pal. (1982). Generalised small signal analysis of a DAR (Double Avalanche Region) Impatt diode. Solid-State Electronics. 25(6). 435–439. 6 indexed citations
19.
Datta, Debajit, et al.. (1982). Computer analysis of DC field and current-density profiles of DAR impatt diode. IEEE Transactions on Electron Devices. 29(11). 1813–1816. 40 indexed citations
20.
Datta, Debajit, et al.. (1980). High frequency noise properties of a double avalanche region (DAR) IMPATT diode. Solid-State Electronics. 23(4). 377–382. 6 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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