Mitul Kumar Ahirwal

1.1k total citations
65 papers, 678 citations indexed

About

Mitul Kumar Ahirwal is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mitul Kumar Ahirwal has authored 65 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 15 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Mitul Kumar Ahirwal's work include EEG and Brain-Computer Interfaces (33 papers), Blind Source Separation Techniques (14 papers) and Emotion and Mood Recognition (8 papers). Mitul Kumar Ahirwal is often cited by papers focused on EEG and Brain-Computer Interfaces (33 papers), Blind Source Separation Techniques (14 papers) and Emotion and Mood Recognition (8 papers). Mitul Kumar Ahirwal collaborates with scholars based in India, Malaysia and Czechia. Mitul Kumar Ahirwal's co-authors include Anil Kumar, Girish Kumar Singh, Mithilesh Atulkar, Gagandeep Singh, Narendra D. Londhe, Manish Pandey, Varun Bajaj, Rekh Ram Janghel, Amit Vishwakarma and Anurag Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Applied Soft Computing.

In The Last Decade

Mitul Kumar Ahirwal

59 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitul Kumar Ahirwal India 15 311 204 148 130 129 65 678
Tohid Yousefi Rezaii Iran 16 405 1.3× 152 0.7× 88 0.6× 106 0.8× 117 0.9× 57 762
Mohammad-Parsa Hosseini United States 11 457 1.5× 146 0.7× 108 0.7× 74 0.6× 110 0.9× 14 766
Wai-Chi Fang Taiwan 16 248 0.8× 138 0.7× 158 1.1× 193 1.5× 69 0.5× 126 921
Tomasz M. Rutkowski Japan 18 639 2.1× 358 1.8× 70 0.5× 42 0.3× 68 0.5× 88 955
Kiran George United States 13 286 0.9× 87 0.4× 39 0.3× 119 0.9× 67 0.5× 126 765
Abdellah Adib Morocco 16 157 0.5× 261 1.3× 99 0.7× 56 0.4× 93 0.7× 92 904
V. Krishnaveni India 11 284 0.9× 220 1.1× 51 0.3× 79 0.6× 65 0.5× 52 773
Anindya Bijoy Das United States 12 331 1.1× 244 1.2× 121 0.8× 38 0.3× 180 1.4× 43 583
Etem Köklükaya Türkiye 14 350 1.1× 157 0.8× 115 0.8× 102 0.8× 133 1.0× 45 736
Munsif Ali Jatoi Pakistan 16 336 1.1× 124 0.6× 48 0.3× 31 0.2× 89 0.7× 37 748

Countries citing papers authored by Mitul Kumar Ahirwal

Since Specialization
Citations

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

Fields of papers citing papers by Mitul Kumar Ahirwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitul Kumar Ahirwal. 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 Mitul Kumar Ahirwal. The network helps show where Mitul Kumar Ahirwal may publish in the future.

Co-authorship network of co-authors of Mitul Kumar Ahirwal

This figure shows the co-authorship network connecting the top 25 collaborators of Mitul Kumar Ahirwal. A scholar is included among the top collaborators of Mitul Kumar Ahirwal 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 Mitul Kumar Ahirwal. Mitul Kumar Ahirwal 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.
2.
Chaturvedi, S. K. & Mitul Kumar Ahirwal. (2025). Investigation of various validation and testing schemes for classification of cross-session mental workload to match real-life expectations of BCI: A transfer learning and XAI approach. Biomedical Signal Processing and Control. 112. 108523–108523. 1 indexed citations
3.
Ahirwal, Mitul Kumar, et al.. (2025). Selected channel based multiclass emotion classification from wearable human brain EEG signal. Measurement Sensors. 39. 101874–101874.
4.
Ahirwal, Mitul Kumar, et al.. (2024). A divide and conquer approach for in-depth analysis of brain connectivity network using ordinal sequence based characterizer. Multimedia Tools and Applications. 84(13). 11625–11651. 1 indexed citations
5.
Ahirwal, Mitul Kumar, et al.. (2024). Refining of Learning in Human Decision Making Models: A Simple Step towards Machine Unlearning. 1–6. 1 indexed citations
6.
Chaturvedi, S. K. & Mitul Kumar Ahirwal. (2024). Classification of Mental Workload Using 1D-CNN with Transfer Learning. 252–256.
7.
Ahirwal, Mitul Kumar, et al.. (2023). Weighted ordinal connection based functional network classification for schizophrenia disease detection using EEG signal. Physical and Engineering Sciences in Medicine. 46(3). 1055–1070. 6 indexed citations
8.
Ahirwal, Mitul Kumar, et al.. (2023). Dynamic characterization of functional brain connectivity network for mental workload condition using an effective network identifier. International Journal of Information Technology. 15(1). 229–238. 6 indexed citations
9.
Ahirwal, Mitul Kumar, et al.. (2023). Subject wise data augmentation based on balancing factor for quaternary emotion recognition through hybrid deep learning model. Biomedical Signal Processing and Control. 86. 105075–105075. 6 indexed citations
10.
Ahirwal, Mitul Kumar, et al.. (2022). Content-Based Medical Image Retrieval System for Skin Melanoma Diagnosis Based on Optimized Pair-Wise Comparison Approach. Journal of Digital Imaging. 36(1). 45–58. 4 indexed citations
11.
Khare, Nilay, et al.. (2022). Machine Learning, Image Processing, Network Security and Data Sciences. Communications in computer and information science.
12.
Khare, Nilay, et al.. (2022). Machine Learning, Image Processing, Network Security and Data Sciences. Communications in computer and information science. 5 indexed citations
13.
Ahirwal, Mitul Kumar, et al.. (2022). Human decision making modelling for gambling task under uncertainty and risk. International Journal of Information and Decision Sciences. 14(1). 15–15. 2 indexed citations
14.
Pandey, Saroj Kumar, Rekh Ram Janghel, Pankaj Kumar Mishra, & Mitul Kumar Ahirwal. (2022). Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model. Signal Image and Video Processing. 17(4). 1113–1122. 24 indexed citations
15.
Atulkar, Mithilesh, et al.. (2021). Vital Sign Monitoring System for Healthcare Through IoT Based Personal Service Application. Wireless Personal Communications. 122(1). 129–156. 24 indexed citations
16.
Atulkar, Mithilesh, et al.. (2020). Comprehensive Investigation on IoT based Smart HealthCare System. 325–330. 5 indexed citations
17.
Ahirwal, Mitul Kumar, Anil Kumar, Girish Kumar Singh, & Jasjit S. Suri. (2016). Sub‐band classification of decomposed single event‐related potential co‐variants for multi‐class brain–computer interface: a qualitative and quantitative approach. IET Science Measurement & Technology. 10(4). 355–363. 12 indexed citations
18.
Ahirwal, Mitul Kumar, et al.. (2016). QRS detection using adaptive filters: A comparative study. ISA Transactions. 66. 362–375. 51 indexed citations
19.
Ahirwal, Mitul Kumar, et al.. (2015). Sub‐band adaptive filtering method for electroencephalography/event related potential signal using nature inspired optimisation techniques. IET Science Measurement & Technology. 9(8). 987–997. 7 indexed citations
20.
Ahirwal, Mitul Kumar, Anil Kumar, & Anurag Singh. (2014). Improved range selection method for evolutionary algorithm based adaptive filtering of EEG/ERP signals. Neurocomputing. 144. 282–294. 10 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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