Pramod Kachare

517 total citations
30 papers, 279 citations indexed

About

Pramod Kachare is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Pramod Kachare has authored 30 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Signal Processing and 9 papers in Cognitive Neuroscience. Recurrent topics in Pramod Kachare's work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and EEG and Brain-Computer Interfaces (9 papers). Pramod Kachare is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (11 papers) and EEG and Brain-Computer Interfaces (9 papers). Pramod Kachare collaborates with scholars based in India, Saudi Arabia and United Kingdom. Pramod Kachare's co-authors include Ibrahim Al–Shourbaji, Digambar Puri, Suprava Patnaik, Mukesh A. Zaveri, Laith Abualigah, Bushra Mohamed Elamin Elnaim, Abdoh Jabbari, Abdalla Alameen, Sanjay L. Nalbalwar and Samah Alshathri and has published in prestigious journals such as PLoS ONE, IEEE Access and Neurocomputing.

In The Last Decade

Pramod Kachare

26 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pramod Kachare India 10 135 91 67 35 32 30 279
Muhammad Bilal Qureshi Pakistan 10 52 0.4× 104 1.1× 49 0.7× 50 1.4× 24 0.8× 22 340
Amani Abdulrahman Albraikan Saudi Arabia 13 80 0.6× 67 0.7× 31 0.5× 47 1.3× 21 0.7× 29 363
Sadaqat Ur Rehman United Kingdom 7 134 1.0× 68 0.7× 94 1.4× 41 1.2× 86 2.7× 22 382
Veena Desai India 9 61 0.5× 89 1.0× 42 0.6× 40 1.1× 23 0.7× 36 276
B G Premasudha India 6 56 0.4× 108 1.2× 53 0.8× 25 0.7× 26 0.8× 24 267
Ritu Sindhu India 11 161 1.2× 65 0.7× 152 2.3× 48 1.4× 18 0.6× 28 458
Qingling Cai China 10 104 0.8× 66 0.7× 34 0.5× 82 2.3× 15 0.5× 23 291
Seral Özşen Türkiye 11 108 0.8× 169 1.9× 50 0.7× 51 1.5× 73 2.3× 38 453
Pinki Kumari India 7 135 1.0× 96 1.1× 53 0.8× 36 1.0× 28 0.9× 13 312
Muhammad Abul Hassan Pakistan 11 136 1.0× 39 0.4× 27 0.4× 29 0.8× 22 0.7× 26 395

Countries citing papers authored by Pramod Kachare

Since Specialization
Citations

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

Fields of papers citing papers by Pramod Kachare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramod Kachare

This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Kachare. A scholar is included among the top collaborators of Pramod Kachare 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 Pramod Kachare. Pramod Kachare 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, et al.. (2024). Statistically Significant Duration-Independent-based Noise-Robust Speaker Verification. International Journal of Mathematical Engineering and Management Sciences. 9(1). 147–162.
8.
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
9.
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
10.
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
11.
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
12.
Al–Shourbaji, Ibrahim, Pramod Kachare, Abdoh Jabbari, et al.. (2023). Artificial Ecosystem-Based Optimization with Dwarf Mongoose Optimization for Feature Selection and Global Optimization Problems. International Journal of Computational Intelligence Systems. 16(1). 28 indexed citations
13.
Al–Shourbaji, Ibrahim, Pramod Kachare, Waleed Abdu Zogaan, L. J. Muhammad, & Laith Abualigah. (2022). Learning Features Using an optimized Artificial Neural Network for Breast Cancer Diagnosis. SN Computer Science. 3(3). 14 indexed citations
14.
Kachare, Pramod, et al.. (2022). Novel Composite feature fusion for Diabetes Diagnosis using Artificial Neural Network. 2022 International Conference on Decision Aid Sciences and Applications (DASA). 1144–1148. 2 indexed citations
15.
Al–Shourbaji, Ibrahim, et al.. (2022). An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection. Mathematics. 10(13). 2351–2351. 43 indexed citations
16.
Al–Shourbaji, Ibrahim, Pramod Kachare, Laith Abualigah, et al.. (2022). A Deep Batch Normalized Convolution Approach for Improving COVID-19 Detection from Chest X-ray Images. Pathogens. 12(1). 17–17. 18 indexed citations
17.
Zaveri, Mukesh A., et al.. (2016). Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF. Neurocomputing. 237. 39–49. 2 indexed citations
18.
Zaveri, Mukesh A., et al.. (2015). Voice conversion system using salient sub-bands and radial basis function. Neural Computing and Applications. 27(8). 2615–2628. 3 indexed citations
19.
Kachare, Pramod, et al.. (2014). A Comparative Performance of Various Speech Analysis-Synthesis Techniques. 7 indexed citations
20.
Zaveri, Mukesh A., et al.. (2013). A novel voice conversion approach using admissible wavelet packet decomposition. EURASIP Journal on Audio Speech and Music Processing. 2013(1). 7 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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