Kiran Kumar Patro

776 total citations
24 papers, 502 citations indexed

About

Kiran Kumar Patro is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Kiran Kumar Patro has authored 24 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 10 papers in Cognitive Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Kiran Kumar Patro's work include ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Kiran Kumar Patro is often cited by papers focused on ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (10 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Kiran Kumar Patro collaborates with scholars based in India, Poland and Saudi Arabia. Kiran Kumar Patro's co-authors include Allam Jaya Prakash, P. Rajesh Kumar, Paweł Pławiak, Ryszard Tadeusiewicz, Mohamed Hammad, Nagwan Abdel Samee, Mona Jamjoom, Bala Chakravarthy Neelapu, U. Rajendra Acharya and Özal Yıldırım and has published in prestigious journals such as Sensors, BMC Bioinformatics and Information Sciences.

In The Last Decade

Kiran Kumar Patro

22 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kiran Kumar Patro India	14	165	146	144	124	102	24	502
Allam Jaya Prakash India	15	177 1.1×	157 1.1×	162 1.1×	160 1.3×	115 1.1×	30	633
Fardin Abdali-Mohammadi Iran	15	144 0.9×	94 0.6×	163 1.1×	187 1.5×	135 1.3×	44	573
Gökhan Altan Türkiye	14	94 0.6×	82 0.6×	128 0.9×	48 0.4×	134 1.3×	31	609
Y. Padma Sai India	12	193 1.2×	122 0.8×	144 1.0×	49 0.4×	66 0.6×	49	466
Seral Özşen Türkiye	11	73 0.4×	104 0.7×	169 1.2×	51 0.4×	108 1.1×	38	453
Betül Ay Türkiye	11	104 0.6×	31 0.2×	180 1.3×	73 0.6×	144 1.4×	22	524
Sang‐Woong Lee South Korea	10	55 0.3×	55 0.4×	69 0.5×	212 1.7×	232 2.3×	19	519
Howida A. Shedeed Egypt	11	167 1.0×	127 0.9×	314 2.2×	89 0.7×	60 0.6×	50	591
Sunil Kumar Prabhakar South Korea	15	141 0.9×	92 0.6×	403 2.8×	89 0.7×	281 2.8×	88	775
Rayyan Azam Khan Canada	14	42 0.3×	237 1.6×	270 1.9×	75 0.6×	132 1.3×	27	667

Countries citing papers authored by Kiran Kumar Patro

Since Specialization

Citations

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

Fields of papers citing papers by Kiran Kumar Patro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Kumar Patro

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

All Works

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20 of 20 papers shown

Patro, Kiran Kumar, et al.. (2025). Smart IoT-Based on Real-Time Monitoring System for Overhead Tank Water Levels and Quality. 975–979.

Patro, Kiran Kumar, et al.. (2024). Detection of cardiac abnormalities in ECG signal using time-based signal processing algorithm. International Journal of Computational Vision and Robotics. 15(1). 59–74.

Patro, Kiran Kumar, et al.. (2024). A pilot study on AI-driven approaches for classification of mental health disorders. Frontiers in Human Neuroscience. 18. 1376338–1376338. 10 indexed citations

Patro, Kiran Kumar, Allam Jaya Prakash, Mohamed Hammad, Ryszard Tadeusiewicz, & Paweł Pławiak. (2023). SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19. Journal of Applied Biomedicine. 43(1). 352–368. 28 indexed citations

Patro, Kiran Kumar, Allam Jaya Prakash, Jaya Prakash Sahoo, et al.. (2023). SMARTSeiz: Deep Learning With Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices. IEEE Journal of Biomedical and Health Informatics. 28(7). 3810–3818. 4 indexed citations

Prakash, Allam Jaya, M. K. Bhuyan, Kiran Kumar Patro, et al.. (2023). Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images. Information Sciences. 658. 120033–120033. 7 indexed citations

Prakash, Allam Jaya, et al.. (2023). A New Approach to Data Analysis Using Machine Learning for Cybersecurity. Big Data and Cognitive Computing. 7(4). 176–176. 9 indexed citations

Prakash, Allam Jaya, et al.. (2023). A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching. Information. 14(2). 65–65. 27 indexed citations

Patro, Kiran Kumar, et al.. (2023). An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques. BMC Bioinformatics. 24(1). 372–372. 14 indexed citations

10.

Patro, Kiran Kumar, Allam Jaya Prakash, Bala Chakravarthy Neelapu, et al.. (2023). Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Information Sciences. 640. 119005–119005. 48 indexed citations

11.

Patro, Kiran Kumar, et al.. (2023). Human Facial Emotions Recognition Using Customized Deep Convolutional Neural Network. 693–697. 2 indexed citations

12.

Prakash, Allam Jaya, et al.. (2023). Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea. International Journal of Applied Mathematics and Computer Science. 33(3). 6 indexed citations

13.

Prakash, Allam Jaya, et al.. (2023). A New Approach of Transparent and Explainable Artificial Intelligence Technique for Patient-Specific ECG Beat Classification. IEEE Sensors Letters. 7(5). 1–4. 13 indexed citations

14.

Patro, Kiran Kumar, et al.. (2022). A hybrid approach of a deep learning technique for real-time ECG beat detection. International Journal of Applied Mathematics and Computer Science. 32(3). 26 indexed citations

15.

Patro, Kiran Kumar, et al.. (2021). Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor. Sensors. 21(19). 6652–6652. 21 indexed citations

16.

Patro, Kiran Kumar, et al.. (2020). An Efficient Optimized Feature Selection with Machine Learning Approach for ECG Biometric Recognition. IETE Journal of Research. 68(4). 2743–2754. 57 indexed citations

17.

Patro, Kiran Kumar & P. Rajesh Kumar. (2017). AMachine Learning Classification Approaches for Biometric Recognition System using ECG Signals. Journal of Engineering Science and Technology Review. 10(6). 1–8. 23 indexed citations

18.

Patro, Kiran Kumar & P. Rajesh Kumar. (2017). Effective Feature Extraction of ECG for Biometric Application. Procedia Computer Science. 115. 296–306. 32 indexed citations

19.

Patro, Kiran Kumar, et al.. (2016). An efficient signal processing algorithm for accurate detection of characteristic points in Abnormal ECG signals. 1476–1479. 2 indexed citations

20.

Patro, Kiran Kumar & P. Rajesh Kumar. (2015). De-noising of ECG raw signal by cascaded window based digital filters configuration. 120–124. 20 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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