T. Sunil Kumar

816 total citations
35 papers, 528 citations indexed

About

T. Sunil Kumar is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, T. Sunil Kumar has authored 35 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 8 papers in Signal Processing. Recurrent topics in T. Sunil Kumar's work include EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (5 papers) and ECG Monitoring and Analysis (4 papers). T. Sunil Kumar is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (5 papers) and ECG Monitoring and Analysis (4 papers). T. Sunil Kumar collaborates with scholars based in India, Sweden and Belgium. T. Sunil Kumar's co-authors include Vivek Kanhangad, Mahesh Gour, Sweta Jain, Ram Bilas Pachori, Kandala N. V. P. S. Rajesh, Ravindra Dhuli, Bart Vanrumste, U. Rajendra Acharya, Hans Hallez and W. De Raedt and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and Electronics Letters.

In The Last Decade

T. Sunil Kumar

30 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Sunil Kumar India	11	209	190	141	127	124	35	528
Gökhan Altan Türkiye	14	134 0.6×	128 0.7×	107 0.8×	155 1.2×	48 0.4×	31	609
Kamlesh Jha India	10	109 0.5×	170 0.9×	101 0.7×	45 0.4×	117 0.9×	36	442
Allam Jaya Prakash India	15	115 0.6×	162 0.9×	79 0.6×	43 0.3×	160 1.3×	30	633
Kiran Kumar Patro India	14	102 0.5×	144 0.8×	70 0.5×	55 0.4×	124 1.0×	24	502
Saeed Meshgini Iran	14	118 0.6×	136 0.7×	105 0.7×	38 0.3×	115 0.9×	47	480
Y. Padma Sai India	12	66 0.3×	144 0.8×	47 0.3×	60 0.5×	49 0.4×	49	466
Jingyu Liu China	13	118 0.6×	396 2.1×	156 1.1×	35 0.3×	75 0.6×	40	656
Nicola Michielli Italy	6	109 0.5×	249 1.3×	54 0.4×	45 0.4×	69 0.6×	12	445
C. Jiménez-Mesa Spain	9	138 0.7×	93 0.5×	120 0.9×	23 0.2×	101 0.8×	14	449
Sajid Gul Khawaja Pakistan	12	65 0.3×	113 0.6×	150 1.1×	54 0.4×	95 0.8×	50	496

Countries citing papers authored by T. Sunil Kumar

Since Specialization

Citations

This map shows the geographic impact of T. Sunil 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 T. Sunil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sunil Kumar more than expected).

Fields of papers citing papers by T. Sunil Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Sunil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Sunil Kumar. A scholar is included among the top collaborators of T. Sunil 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 T. Sunil Kumar. T. Sunil Kumar 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:

20 of 20 papers shown

Kumar, T. Sunil, et al.. (2025). Enhancing leaf disease classification using GAT-GCN hybrid model. Frontiers in Plant Science. 16. 1569821–1569821. 1 indexed citations

Maheshwari, Shishir, Kandala N. V. P. S. Rajesh, Vivek Kanhangad, U. Rajendra Acharya, & T. Sunil Kumar. (2025). Entropy difference-based EEG channel selection technique for automated detection of ADHD. PLoS ONE. 20(4). e0319487–e0319487. 1 indexed citations

Kumar, T. Sunil, Pradeep Kumar, Mohssen Elbagory, et al.. (2024). Effect of summer legume residue incorporation and fertilizer regimes on rice growth, yield, and nutrient uptake. Frontiers in Sustainable Food Systems. 8. 3 indexed citations

Kumar, T. Sunil, et al.. (2024). Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU. Socio-Environmental Systems Modeling. 1–6. 1 indexed citations

Kumar, T. Sunil, et al.. (2024). Determining the Moisture Content of Wood Chips in Inline Industry Applications Using UWB Radio Transmission Signals and Machine Learning. IEEE Sensors Letters. 8(12). 1–4.

Kumar, T. Sunil, et al.. (2024). Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments. IEEE Journal of Biomedical and Health Informatics. 28(10). 5816–5828. 5 indexed citations

Kumar, T. Sunil, et al.. (2024). Gabor filter-based statistical features for ADHD detection. Frontiers in Human Neuroscience. 18. 1369862–1369862. 3 indexed citations

Gour, Mahesh, Sweta Jain, & T. Sunil Kumar. (2024). Robust nuclei segmentation with encoder‐decoder network from the histopathological images. International Journal of Imaging Systems and Technology. 34(4).

Kumar, T. Sunil, et al.. (2024). The Information Fusion on Person Recognition Using Hip Joint Angles. 25. 1–6. 1 indexed citations

10.

Krishnan, Palani Thanaraj, et al.. (2024). Feature-Driven Fusion of Thermal and Visible Images for Face Analysis. 1–5.

11.

Krishnan, Palani Thanaraj, et al.. (2024). Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer. Frontiers in Neuroinformatics. 18. 1414925–1414925. 17 indexed citations

12.

Kyritsis, Konstantinos, Li Ding, W. De Raedt, et al.. (2024). Detection of Eating Gestures in Older Persons Using IMU Sensors With Multistage Temporal Convolutional Network. IEEE Sensors Journal. 24(21). 35231–35244. 2 indexed citations

13.

Kumar, T. Sunil, et al.. (2023). Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention. IEEE Journal of Biomedical and Health Informatics. 28(2). 1000–1011. 12 indexed citations

14.

Kumar, T. Sunil, et al.. (2023). Intercropping - An Approach towards Sustainability in Dry Land Agriculture. International Journal of Environment and Climate Change. 13(9). 182–190. 4 indexed citations

15.

Kumar, T. Sunil, et al.. (2023). Evaluation of Different Radar Placements for Food Intake Monitoring Using Deep Learning. Socio-Environmental Systems Modeling. 1–6. 1 indexed citations

16.

Kong, J. A., Yutong Cai, T. Sunil Kumar, et al.. (2023). Intake Gesture Detection With IMU Sensor in Free-Living Environments: The Effects of Measuring Two-Hand Intake and Down-Sampling. Socio-Environmental Systems Modeling. 1–4. 1 indexed citations

17.

Kumar, T. Sunil, et al.. (2022). Automated Schizophrenia detection using local descriptors with EEG signals. Engineering Applications of Artificial Intelligence. 117. 105602–105602. 30 indexed citations

18.

Kumar, T. Sunil, et al.. (2022). Drinking Gesture Detection Using Wrist-Worn IMU Sensors with Multi-Stage Temporal Convolutional Network in Free-Living Environments. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1778–1782. 12 indexed citations

19.

Rajesh, Kandala N. V. P. S., Ravindra Dhuli, & T. Sunil Kumar. (2020). Obstructive sleep apnea detection using discrete wavelet transform-based statistical features. Computers in Biology and Medicine. 130. 104199–104199. 31 indexed citations

20.

Kumar, T. Sunil & Vivek Kanhangad. (2015). Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform. 8. 1–7. 2 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