Rajdeep Ghosh

600 total citations
15 papers, 362 citations indexed

About

Rajdeep Ghosh is a scholar working on Cognitive Neuroscience, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Rajdeep Ghosh has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Signal Processing and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Rajdeep Ghosh's work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (10 papers) and Neural dynamics and brain function (4 papers). Rajdeep Ghosh is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (10 papers) and Neural dynamics and brain function (4 papers). Rajdeep Ghosh collaborates with scholars based in India, Italy and United States. Rajdeep Ghosh's co-authors include Nidul Sinha, Souvik Phadikar, Ebrahim Ghaderpour, Saroj Kr. Biswas, Pranesh Das, Nabamita Deb, Aaron F. Struck, Satyajit Chakrabarti, Nabanita Das and Bikash Sadhukhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Rajdeep Ghosh

14 papers receiving 349 citations

Peers

Rajdeep Ghosh

CCM

ECP

Souvik Phadikar India

Ausilah Alfraihat Jordan

Arti Anuragi India

Duanpo Wu China

Hubert Banville Canada

Chamandeep Kaur India

Phattarapong Sawangjai Thailand

Padmavati Khandnor India

Debashis Das Chakladar India

Souvik Phadikar India

Rajdeep Ghosh

324 ×1.2

130 ×1.1

80 ×1.3

CCM

61 ×1.2

87 ×1.8

ECP

Citations per year, relative to Rajdeep Ghosh Rajdeep Ghosh (= 1×) peers Souvik Phadikar

Countries citing papers authored by Rajdeep Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Rajdeep Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajdeep Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Rajdeep Ghosh. A scholar is included among the top collaborators of Rajdeep Ghosh 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 Rajdeep Ghosh. Rajdeep Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Deka, Deepjyoti, et al.. (2025). NeuroFeat: An adaptive neurological EEG feature engineering approach for improved classification of major depressive disorder. Biomedical Signal Processing and Control. 113. 109031–109031.

Das, Nabanita, Bikash Sadhukhan, Rajdeep Ghosh, & Satyajit Chakrabarti. (2024). Developing Hybrid Deep Learning Models for Stock Price Prediction Using Enhanced Twitter Sentiment Score and Technical Indicators. Computational Economics. 64(6). 3407–3446. 10 indexed citations

Sinha, Nidul, et al.. (2023). A Novel Baseline Removal Paradigm for Subject-Independent Features in Emotion Classification Using EEG. Bioengineering. 10(1). 54–54. 46 indexed citations

Ghosh, Rajdeep, et al.. (2023). Lung Nodule Classification Using MobileNet Transfer Learning. 290–295. 3 indexed citations

Ghosh, Rajdeep, Souvik Phadikar, Nabamita Deb, et al.. (2023). Automatic Eyeblink and Muscular Artifact Detection and Removal From EEG Signals Using k-Nearest Neighbor Classifier and Long Short-Term Memory Networks. IEEE Sensors Journal. 23(5). 5422–5436. 56 indexed citations

Ghosh, Rajdeep, et al.. (2022). SAM 40: Dataset of 40 subject EEG recordings to monitor the induced-stress while performing Stroop color-word test, arithmetic task, and mirror image recognition task. Data in Brief. 40. 107772–107772. 27 indexed citations

Phadikar, Souvik, Nidul Sinha, & Rajdeep Ghosh. (2022). Unsupervised feature extraction with autoencoders for EEG based multiclass motor imagery BCI. Expert Systems with Applications. 213. 118901–118901. 31 indexed citations

Ghosh, Rajdeep, Nidul Sinha, & Souvik Phadikar. (2022). Classification of Silent Speech in English and Bengali Languages Using Stacked Autoencoder. SN Computer Science. 3(5). 3 indexed citations

Phadikar, Souvik, Nidul Sinha, Rajdeep Ghosh, & Ebrahim Ghaderpour. (2022). Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter. Sensors. 22(8). 2948–2948. 39 indexed citations

10.

Phadikar, Souvik, et al.. (2022). A Survey on Denoising Techniques of Electroencephalogram Signals Using Wavelet Transform. SHILAP Revista de lepidopterología. 3(3). 577–586. 60 indexed citations

11.

Phadikar, Souvik, Nidul Sinha, & Rajdeep Ghosh. (2020). Automatic EEG eyeblink artefact identification and removal technique using independent component analysis in combination with support vector machines and denoising autoencoder. IET Signal Processing. 14(6). 396–405. 31 indexed citations

12.

Ghosh, Rajdeep, Nidul Sinha, Saroj Kr. Biswas, & Souvik Phadikar. (2019). A modified grey wolf optimization based feature selection method from EEG for silent speech classification. Journal of Information and Optimization Sciences. 40(8). 1639–1652. 11 indexed citations

13.

Ghosh, Rajdeep, Nidul Sinha, & Neetu Singh. (2019). Emotion recognition from EEG signals using back propagation neural network. 188–191. 2 indexed citations

14.

Ghosh, Rajdeep, Nidul Sinha, & Saroj Kr. Biswas. (2018). Automated eye blink artefact removal from EEG using support vector machine and autoencoder. IET Signal Processing. 13(2). 141–148. 40 indexed citations

15.

Ghosh, Rajdeep, Vikas Kumar, Nidul Sinha, & Saroj Kr. Biswas. (2018). Motor imagery task classification using intelligent algorithm with prominent trial selection. Journal of Intelligent & Fuzzy Systems. 35(2). 1501–1510. 3 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.

Explore authors with similar magnitude of impact