Digambar Puri

452 total citations
21 papers, 218 citations indexed

About

Digambar Puri is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Signal Processing. According to data from OpenAlex, Digambar Puri has authored 21 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 11 papers in Cardiology and Cardiovascular Medicine and 5 papers in Signal Processing. Recurrent topics in Digambar Puri's work include EEG and Brain-Computer Interfaces (17 papers), ECG Monitoring and Analysis (10 papers) and Functional Brain Connectivity Studies (5 papers). Digambar Puri is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), ECG Monitoring and Analysis (10 papers) and Functional Brain Connectivity Studies (5 papers). Digambar Puri collaborates with scholars based in India, Saudi Arabia and United Kingdom. Digambar Puri's co-authors include Sanjay L. Nalbalwar, Pramod Kachare, Anil Nandgaonkar, Ibrahim Al–Shourbaji, Abdoh Jabbari, Raimund Kirner, Abdalla Alameen, Laith Abualigah, Hazem Migdady and R. N. Awale and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Digambar Puri

20 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Digambar Puri India 10 165 72 42 34 29 21 218
Zhenxi Song China 9 231 1.4× 43 0.6× 34 0.8× 43 1.3× 30 1.0× 20 318
Md. Nurul Ahad Tawhid Australia 8 207 1.3× 51 0.7× 29 0.7× 29 0.9× 30 1.0× 17 312
Xiaoyan Wei China 6 260 1.6× 52 0.7× 34 0.8× 47 1.4× 72 2.5× 11 289
Zhijiang Wan China 9 160 1.0× 35 0.5× 39 0.9× 12 0.4× 18 0.6× 22 264
Samantha Simons United Kingdom 5 216 1.3× 69 1.0× 22 0.5× 13 0.4× 37 1.3× 9 295
Ashima Khosla India 6 195 1.2× 63 0.9× 26 0.6× 13 0.4× 35 1.2× 8 267
Dinghan Hu China 10 252 1.5× 40 0.6× 43 1.0× 33 1.0× 110 3.8× 25 308
Baocan Zhang China 7 213 1.3× 50 0.7× 55 1.3× 32 0.9× 86 3.0× 13 281
Chun‐Ren Phang Taiwan 6 234 1.4× 66 0.9× 24 0.6× 16 0.5× 20 0.7× 12 268
Ömer Türk Türkiye 8 171 1.0× 35 0.5× 44 1.0× 27 0.8× 84 2.9× 24 268

Countries citing papers authored by Digambar Puri

Since Specialization
Citations

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

Fields of papers citing papers by Digambar Puri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Digambar Puri

This figure shows the co-authorship network connecting the top 25 collaborators of Digambar Puri. A scholar is included among the top collaborators of Digambar Puri 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 Digambar Puri. Digambar Puri 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.
Puri, Digambar, et al.. (2025). A hybrid dwarf mongoose and artificial ecosystem-based EEG channel optimization for Schizophrenia detection. Biomedical Signal Processing and Control. 112. 108513–108513.
2.
Puri, Digambar, et al.. (2025). Design of efficient bi-orthogonal wavelets for EEG-based detection of Schizophrenia. Engineering Science and Technology an International Journal. 68. 102090–102090. 1 indexed citations
3.
Kachare, Pramod, et al.. (2025). Explaining electroencephalogram channel and subband sensitivity for alcoholism detection. Computers in Biology and Medicine. 188. 109826–109826. 5 indexed citations
4.
Puri, Digambar, et al.. (2025). Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals. Cognitive Neurodynamics. 19(1). 12–12. 7 indexed citations
5.
Puri, Digambar, Pramod Kachare, Smith K. Khare, et al.. (2025). Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection. Journal of Bionic Engineering. 22(2). 884–900. 4 indexed citations
6.
Puri, Digambar, Pramod Kachare, Raimund Kirner, et al.. (2024). LEADNet: Detection of Alzheimer’s Disease Using Spatiotemporal EEG Analysis and Low-Complexity CNN. IEEE Access. 12. 113888–113897. 15 indexed citations
7.
Kachare, Pramod, Digambar Puri, Ibrahim Al–Shourbaji, et al.. (2024). LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection. Physical and Engineering Sciences in Medicine. 47(3). 1037–1050. 20 indexed citations
8.
Al–Shourbaji, Ibrahim, Pramod Kachare, Abdoh Jabbari, et al.. (2024). Improving prediction of solar radiation using Cheetah Optimizer and Random Forest. PLoS ONE. 19(12). e0314391–e0314391. 2 indexed citations
9.
Puri, Digambar, Pramod Kachare, & Sanjay L. Nalbalwar. (2024). Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification. Biomedical Signal Processing and Control. 94. 106244–106244. 14 indexed citations
10.
Kachare, Pramod, et al.. (2024). STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network. Cognitive Neurodynamics. 18(5). 3195–3208. 22 indexed citations
11.
Puri, Digambar, et al.. (2023). Identification of Alzheimer’s Disease Using Novel Dual Decomposition Technique and Machine Learning Algorithms from EEG Signals. International Journal on Advanced Science Engineering and Information Technology. 13(2). 658–665. 7 indexed citations
12.
Puri, Digambar, et al.. (2023). EEG-Based Systematic Explainable Alzheimer’s Disease and Mild Cognitive Impairment Identification Using Novel Rational Dyadic Biorthogonal Wavelet Filter Banks. Circuits Systems and Signal Processing. 43(3). 1792–1822. 13 indexed citations
13.
Puri, Digambar, et al.. (2023). A novel optimal wavelet filter banks for automated diagnosis of Alzheimer’s disease and mild cognitive impairment using Electroencephalogram signals. Decision Analytics Journal. 9. 100336–100336. 18 indexed citations
14.
Puri, Digambar, et al.. (2022). Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks. Biomedical Signal Processing and Control. 81. 104439–104439. 38 indexed citations
15.
Puri, Digambar, et al.. (2022). Alzheimer’s disease detection from optimal EEG channels and Tunable Q-Wavelet Transform. Indonesian Journal of Electrical Engineering and Computer Science. 25(3). 1420–1420. 11 indexed citations
16.
Puri, Digambar, et al.. (2022). Alzheimer’s disease detection with Optimal EEG channel selection using Wavelet Transform. 2022 International Conference on Decision Aid Sciences and Applications (DASA). 443–448. 10 indexed citations
17.
Puri, Digambar, et al.. (2022). Face recognition Attendance system using HOG and CNN algorithm. SHILAP Revista de lepidopterología. 44. 3028–3028. 3 indexed citations
18.
Puri, Digambar, et al.. (2022). Alzheimer’s Disease Detection using Empirical Mode Decomposition and Hjorth parameters of EEG signal. 2022 International Conference on Decision Aid Sciences and Applications (DASA). 23–28. 14 indexed citations
19.
Puri, Digambar, et al.. (2021). Detection of Alcoholism from EEG signals using Spectral and Tsallis Entropy with SVM. 1–5. 7 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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