Deba Prasad Dash

588 total citations
30 papers, 388 citations indexed

About

Deba Prasad Dash is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Deba Prasad Dash has authored 30 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 9 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in Deba Prasad Dash's work include Electric Power System Optimization (14 papers), Optimal Power Flow Distribution (10 papers) and Energy Load and Power Forecasting (9 papers). Deba Prasad Dash is often cited by papers focused on Electric Power System Optimization (14 papers), Optimal Power Flow Distribution (10 papers) and Energy Load and Power Forecasting (9 papers). Deba Prasad Dash collaborates with scholars based in India, United States and Iran. Deba Prasad Dash's co-authors include Maheshkumar H. Kolekar, Mousumi Basu, Kamlesh Jha, Mohammad R. Khosravi, Chinmay Chakraborty, Mousumi Basu, Anirban Dutta, Rakesh Roshan, Abhijit Das and Uttama Lahiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbon and Solar Energy.

In The Last Decade

Deba Prasad Dash

30 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deba Prasad Dash India 12 163 128 66 57 56 30 388
Zunchao Li China 11 284 1.7× 141 1.1× 89 1.3× 30 0.5× 46 0.8× 44 461
Khaled Ben Khalifa Tunisia 11 112 0.7× 121 0.9× 28 0.4× 27 0.5× 103 1.8× 39 316
N. J. Sairamya India 11 54 0.3× 248 1.9× 112 1.7× 42 0.7× 60 1.1× 19 386
Rahul Upadhyay India 12 56 0.3× 260 2.0× 124 1.9× 46 0.8× 58 1.0× 49 432
Kuldeep Singh India 14 103 0.6× 262 2.0× 111 1.7× 15 0.3× 105 1.9× 50 535
Emine Doğru Bolat Türkiye 11 45 0.3× 127 1.0× 44 0.7× 94 1.6× 34 0.6× 29 346
Xiaying Wang Switzerland 10 161 1.0× 287 2.2× 54 0.8× 11 0.2× 54 1.0× 29 455
Ruimin Peng China 8 53 0.3× 144 1.1× 33 0.5× 23 0.4× 67 1.2× 14 257
M. Premkumar India 10 55 0.3× 95 0.7× 92 1.4× 17 0.3× 100 1.8× 28 326

Countries citing papers authored by Deba Prasad Dash

Since Specialization
Citations

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

Fields of papers citing papers by Deba Prasad Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deba Prasad Dash. 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 Deba Prasad Dash. The network helps show where Deba Prasad Dash may publish in the future.

Co-authorship network of co-authors of Deba Prasad Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Deba Prasad Dash. A scholar is included among the top collaborators of Deba Prasad Dash 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 Deba Prasad Dash. Deba Prasad Dash 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.
Dash, Deba Prasad, et al.. (2024). Gaussian Mutation Based Teaching-Learning Optimization for reactive power dispatch. SHILAP Revista de lepidopterología. 8. 100555–100555. 3 indexed citations
2.
Dash, Deba Prasad, et al.. (2023). Distinctive visual tasks for characterizing mild cognitive impairment and dementia using oculomotor behavior. Frontiers in Aging Neuroscience. 15. 1125651–1125651. 8 indexed citations
3.
Dash, Deba Prasad, Maheshkumar H. Kolekar, Chinmay Chakraborty, & Mohammad R. Khosravi. (2022). Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(1). 1–29. 33 indexed citations
4.
Dash, Deba Prasad, et al.. (2022). Positional Identification Based Whale Optimization Algorithm for Dynamic Thermal–Wind–PV Economic Emission Dispatch Problem. Transactions of Indian National Academy of Engineering. 7(3). 977–994. 1 indexed citations
5.
Dash, Deba Prasad, Maheshkumar H. Kolekar, & Kamlesh Jha. (2021). Surface EEG based epileptic seizure detection using wavelet based features and dynamic mode decomposition power along with KNN classifier. Multimedia Tools and Applications. 81(29). 42057–42077. 11 indexed citations
6.
Dash, Deba Prasad, et al.. (2021). Multi-Objective Economic Environmental Dispatch of Variable Hydro-Wind-Thermal Power System. International Journal of Applied Metaheuristic Computing. 12(2). 16–35. 3 indexed citations
7.
Behera, Debasis, et al.. (2021). Six-Minute Walk Test and its Correlation with Spirometry in Stable COPD Patients. Journal of Health and Allied Sciences NU. 12(3). 280–285. 2 indexed citations
8.
Dash, Deba Prasad & Maheshkumar H. Kolekar. (2020). EEG-Based Epileptic Seizure Detection Using Least Square SVM with Spectral and Multiscale Key Point Energy Features.. 323–335. 1 indexed citations
9.
Dash, Deba Prasad & Maheshkumar H. Kolekar. (2020). Hidden Markov model based epileptic seizure detection using tunable Q wavelet transform. Journal of Biomedical Research. 34(3). 170–170. 22 indexed citations
10.
Dash, Deba Prasad, et al.. (2020). ECONOMIC EMISSION DISPATCH OF THERMAL-WIND-SOLAR POWER SYSTEM BY USING NSGA II. Ethics and Information Technology. 5–9. 1 indexed citations
11.
Dash, Deba Prasad, Maheshkumar H. Kolekar, & Kamlesh Jha. (2019). Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and Hidden Markov Model. Computers in Biology and Medicine. 116. 103571–103571. 53 indexed citations
12.
Dash, Deba Prasad, et al.. (2019). Application of Whale Optimization Algorithm for Environmental Constrained Economic Dispatch of Fixed Head Hydro-Wind-Thermal Power System. International Journal of Engineering and Advanced Technology. 9(1). 5608–5616. 2 indexed citations
13.
Basu, Mousumi, et al.. (2019). Improved Real-Coded Genetic Algorithm for Reactive Power Dispatch. IETE Journal of Research. 68(2). 1462–1474. 6 indexed citations
14.
15.
Basu, Mousumi, et al.. (2018). Improved real coded genetic algorithm for dynamic economic dispatch. SHILAP Revista de lepidopterología. 5(3). 349–362. 34 indexed citations
16.
Basu, Mousumi, et al.. (2017). Modified Teaching-Learning-Based Optimization for Combined Heat and Power Economic Dispatch. International Journal of Emerging Electric Power Systems. 18(5). 9 indexed citations
17.
Dash, Deba Prasad & Maheshkumar H. Kolekar. (2017). Epileptic seizure detection based on EEG signal analysis using hierarchy based Hidden Markov Model. 1114–1120. 8 indexed citations
18.
Kolekar, Maheshkumar H. & Deba Prasad Dash. (2016). Hidden Markov Model based human activity recognition using shape and optical flow based features. 393–397. 28 indexed citations
19.
Kolekar, Maheshkumar H. & Deba Prasad Dash. (2015). A nonlinear feature based epileptic seizure detection using least square support vector machine classifier. 1–6. 19 indexed citations
20.
Dash, Deba Prasad, et al.. (2012). A new approach for dynamic economic dispatch using Improved Bacterial Foraging Algorithm. 330–332. 2 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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