Himanshu Kumar

739 total citations
29 papers, 473 citations indexed

About

Himanshu Kumar is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Himanshu Kumar has authored 29 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Himanshu Kumar's work include EEG and Brain-Computer Interfaces (10 papers), Emotion and Mood Recognition (6 papers) and Solar Radiation and Photovoltaics (3 papers). Himanshu Kumar is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Emotion and Mood Recognition (6 papers) and Solar Radiation and Photovoltaics (3 papers). Himanshu Kumar collaborates with scholars based in India, Germany and United States. Himanshu Kumar's co-authors include Parul Arora, Bijaya Ketan Panigrahi, Anil C. Anand, Kalra Sp, Ramakrishnan Swaminathan, Nagarajan Ganapathy, Yasha Hasija, Subha D. Puthankattil, Balasubramaniam Natarajan and Sudhir Kumar Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and IEEE Access.

In The Last Decade

Himanshu Kumar

25 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Himanshu Kumar India 7 134 129 117 93 59 29 473
Regina Padmanabhan Qatar 11 89 0.7× 33 0.3× 63 0.5× 10 0.1× 20 0.3× 30 415
Jesutofunmi A. Omiye United States 10 28 0.2× 118 0.9× 185 1.6× 5 0.1× 13 0.2× 17 598
Canhong Wen China 9 25 0.2× 71 0.6× 29 0.2× 5 0.1× 12 0.2× 29 277
Zijian Kang China 10 112 0.8× 142 1.1× 114 1.0× 3 0.0× 2 0.0× 20 750
Alhanoof Althnian Saudi Arabia 5 24 0.2× 49 0.4× 81 0.7× 5 0.1× 8 0.1× 12 329
Hirofumi Obinata Japan 8 31 0.2× 125 1.0× 142 1.2× 13 0.1× 3 0.1× 17 495
Andres Hernandez-Matamoros Japan 6 71 0.5× 50 0.4× 111 0.9× 44 0.7× 12 363
Holly Wiberg United States 9 15 0.1× 123 1.0× 169 1.4× 7 0.1× 5 0.1× 11 474
Carson Lam United States 13 10 0.1× 606 4.7× 275 2.4× 13 0.1× 12 0.2× 25 1.1k
Kamalanand Krishnamurthy India 11 53 0.4× 75 0.6× 73 0.6× 2 0.0× 89 1.5× 51 390

Countries citing papers authored by Himanshu Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Himanshu Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himanshu Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Himanshu Kumar. A scholar is included among the top collaborators of Himanshu Kumar 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 Himanshu Kumar. Himanshu Kumar 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.
Kumar, G. Shiva, et al.. (2025). Evaluating the impact of spent coffee grounds on concrete's workability and mechanical properties using response surface methodology. Innovative Infrastructure Solutions. 10(2). 4 indexed citations
2.
Pourhassan, Behnam, et al.. (2025). Quantum gravitational corrections to the geometry of charged AdS black holes. Nuclear Physics B. 1012. 116830–116830. 2 indexed citations
3.
Kumar, Himanshu, Nagarajan Ganapathy, & Ramakrishnan Swaminathan. (2025). Analysis of Dynamics of EEG Signals in Emotional Valence Using Super-Resolution Superlet Transform. IEEE Sensors Letters. 9(2). 1–4. 1 indexed citations
4.
Kumar, Himanshu, et al.. (2025). Repurposing Saroglitazar for neurodegenerative disorders: insight into molecular signalling pathways and neuroprotective modulations. Inflammopharmacology. 33(7). 3805–3822. 2 indexed citations
5.
Kumar, Himanshu, et al.. (2024). Functional Brain Network of Trait Impulsivity: Whole‐Brain Functional Connectivity Predicts Self‐Reported Impulsivity. Human Brain Mapping. 45(15). e70059–e70059.
6.
Kumar, Himanshu, et al.. (2024). Exploring Central-Peripheral Nervous System Interaction Through Multimodal Biosignals: A Systematic Review. IEEE Access. 12. 60347–60368. 6 indexed citations
7.
Kumar, Himanshu, et al.. (2024). Assessment of Emotion Elicitation Using Multimodal Physiological Sensors and Phase Synchronization. IEEE Sensors Letters. 8(8). 1–4.
8.
Kumar, Himanshu, et al.. (2024). Assessment of Valance Emotional State Using EEG-EDA Coupling and Explainable Classifiers. Studies in health technology and informatics. 316. 953–957. 1 indexed citations
9.
Kumar, Himanshu, et al.. (2024). Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal. SHILAP Revista de lepidopterología. 10(4). 49–52.
10.
Kumar, Rakesh, et al.. (2024). A Way of Optimization of Wireless Sensor Network using TSCH. 326–330. 8 indexed citations
11.
Kumar, Himanshu, Nagarajan Ganapathy, Subha D. Puthankattil, & Ramakrishnan Swaminathan. (2022). Classification of Emotional States Using EEG Signals and Wavelet Packet Transform Features. Studies in health technology and informatics. 294. 943–944. 4 indexed citations
12.
Kumar, Himanshu, Nagarajan Ganapathy, Subha D. Puthankattil, & Ramakrishnan Swaminathan. (2022). Assessment of emotional states in EEG signals using multi-frequency power spectrum and functional connectivity patterns. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 280–283. 4 indexed citations
13.
Kumar, Himanshu, et al.. (2022). Impulsivity Classification Using EEG Power and Explainable Machine Learning. International Journal of Neural Systems. 33(2). 2350006–2350006. 7 indexed citations
14.
Ganapathy, Nagarajan, et al.. (2021). Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network. Journal of Medical Systems. 45(4). 49–49. 37 indexed citations
15.
Arora, Parul, Himanshu Kumar, & Bijaya Ketan Panigrahi. (2020). Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India. Chaos Solitons & Fractals. 139. 110017–110017. 227 indexed citations
16.
Kumar, Himanshu, Parul Arora, & Bijaya Ketan Panigrahi. (2018). Wind Forecasting:Hybrid Statistical and Deep Neural Network Approaches. 62–67. 2 indexed citations
17.
Kumar, Himanshu, et al.. (2018). Automated System for Prediction of Skin Disease using Image Processing and Machine Learning. International Journal of Computer Applications. 180(19). 9–12. 19 indexed citations
18.
Agarwal, Rakhi, et al.. (2018). EMG and Grip Force correlation at varying wrist angles for Dominant vs. non-dominant hand. 1–4. 1 indexed citations
19.
Kumar, Himanshu & Sudhir Kumar Srivastava. (2018). MPPT with incremental Conductance and Control Analysis. 594–599. 1 indexed citations
20.
Sp, Kalra, et al.. (2001). Pancytopenia--a six year study.. PubMed. 49. 1078–81. 113 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

Breakdown of academic impact, for papers by Regina Padmanabhan Breakdown of academic impact, for papers by Jesutofunmi A. Omiye Breakdown of academic impact, for papers by Canhong Wen Breakdown of academic impact, for papers by Zijian Kang Breakdown of academic impact, for papers by Alhanoof Althnian Breakdown of academic impact, for papers by Hirofumi Obinata Breakdown of academic impact, for papers by Andres Hernandez-Matamoros Breakdown of academic impact, for papers by Holly Wiberg Breakdown of academic impact, for papers by Carson Lam Breakdown of academic impact, for papers by Kamalanand Krishnamurthy
Rankless by CCL
2026