Hrudaya Kumar Tripathy

2.4k total citations
69 papers, 888 citations indexed

About

Hrudaya Kumar Tripathy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Hrudaya Kumar Tripathy has authored 69 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Health Information Management. Recurrent topics in Hrudaya Kumar Tripathy's work include Artificial Intelligence in Healthcare (8 papers), Imbalanced Data Classification Techniques (6 papers) and Robotic Path Planning Algorithms (6 papers). Hrudaya Kumar Tripathy is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), Imbalanced Data Classification Techniques (6 papers) and Robotic Path Planning Algorithms (6 papers). Hrudaya Kumar Tripathy collaborates with scholars based in India, Malaysia and United Kingdom. Hrudaya Kumar Tripathy's co-authors include Sushruta Mishra, Pradeep Kumar Mallick, Akash Kumar Bhoi, Tarek Gaber, Pradipta Kumar Das, Bijaya Ketan Panigrahi, Saroj Kumar Pradhan, Brojo Kishore Mishra, Swagatam Das and H. S. Behera and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Hrudaya Kumar Tripathy

59 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hrudaya Kumar Tripathy India 19 222 213 110 100 97 69 888
Sushruta Mishra India 21 288 1.3× 155 0.7× 143 1.3× 140 1.4× 149 1.5× 87 1.1k
Senthil Pandi S India 24 308 1.4× 249 1.2× 76 0.7× 93 0.9× 95 1.0× 213 1.4k
Ramgopal Kashyap India 19 230 1.0× 128 0.6× 52 0.5× 165 1.6× 136 1.4× 52 987
Denis A. Pustokhin Russia 19 362 1.6× 287 1.3× 65 0.6× 328 3.3× 220 2.3× 55 1.2k
Hanan Abdullah Mengash Saudi Arabia 13 239 1.1× 187 0.9× 51 0.5× 141 1.4× 97 1.0× 66 868
Sultan Aljahdali Saudi Arabia 17 239 1.1× 135 0.6× 72 0.7× 161 1.6× 268 2.8× 99 1.0k
Amandeep Kaur India 21 361 1.6× 228 1.1× 139 1.3× 255 2.5× 235 2.4× 157 1.6k
Muhammad Saleem Pakistan 15 245 1.1× 135 0.6× 94 0.9× 217 2.2× 208 2.1× 36 896
Muhammad Faheem Mushtaq Pakistan 17 353 1.6× 75 0.4× 72 0.7× 140 1.4× 149 1.5× 45 774
Mubarak Almutairi Saudi Arabia 18 277 1.2× 161 0.8× 85 0.8× 145 1.4× 123 1.3× 48 990

Countries citing papers authored by Hrudaya Kumar Tripathy

Since Specialization
Citations

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

Fields of papers citing papers by Hrudaya Kumar Tripathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hrudaya Kumar Tripathy

This figure shows the co-authorship network connecting the top 25 collaborators of Hrudaya Kumar Tripathy. A scholar is included among the top collaborators of Hrudaya Kumar Tripathy 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 Hrudaya Kumar Tripathy. Hrudaya Kumar Tripathy 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.
Baliarsingh, Santos Kumar, et al.. (2025). CA-VAD: Caption Aware Video Anomaly Detection in surveillance videos. Journal of Visual Communication and Image Representation. 111. 104521–104521. 1 indexed citations
2.
Mishra, Sushruta, et al.. (2024). Enhancing health care through medical cognitive virtual agents. Digital Health. 10. 599900444–599900444. 3 indexed citations
3.
Tripathy, Hrudaya Kumar, et al.. (2024). Classification of Autism Spectrum Disorder using CNN & Transfer Learning. 1–7. 1 indexed citations
4.
Thakur, Archana, et al.. (2024). Detecting Network Attack using Federated Learning for IoT Devices. 1–6. 4 indexed citations
5.
Tripathy, Hrudaya Kumar, et al.. (2024). Credit Card Fraud Detection Using Machine Learning. 1–4.
6.
Pradhan, Chittaranjan, et al.. (2023). KryptosChain—A Blockchain-Inspired, AI-Combined, DNA-Encrypted Secure Information Exchange Scheme. Electronics. 12(3). 493–493. 4 indexed citations
7.
Mohanty, Jnyana Ranjan, et al.. (2022). Cover Page. 1–1. 1 indexed citations
8.
Tripathy, Hrudaya Kumar, Sunday Adeola Ajagbe, & El‐Sayed M. El‐kenawy. (2022). Sustainable Management for the Architectural Heritage in Intelligent Cities using MCDM methods. Journal of Intelligent Systems and Internet of Things. 41–58. 2 indexed citations
9.
Mishra, Sushruta, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy, Lambodar Jena, & Gyoo‐Soo Chae. (2021). Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations. International Journal of Electrical Engineering Education. 28 indexed citations
10.
Mishra, Sushruta, et al.. (2021). A Pragmatic Investigation of Energy Consumption and Utilization Models in the Urban Sector Using Predictive Intelligence Approaches. Energies. 14(13). 3900–3900. 12 indexed citations
11.
Tripathy, Hrudaya Kumar, et al.. (2021). Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review. Sustainability. 13(9). 5279–5279. 24 indexed citations
12.
Mishra, Sushruta, Hrudaya Kumar Tripathy, Hiren Kumar Thakkar, et al.. (2021). An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment. Frontiers in Public Health. 9. 795007–795007. 8 indexed citations
13.
Tripathy, Hrudaya Kumar, et al.. (2021). Technical Advancements of Machine Learning in Healthcare. Studies in computational intelligence. 7 indexed citations
14.
Mishra, Sushruta, Hrudaya Kumar Tripathy, & Brojo Kishore Mishra. (2018). Implementation of biologically motivated optimisation approach for tumour categorisation. International Journal of Computer Aided Engineering and Technology. 10(3). 244–244. 7 indexed citations
15.
Das, Pradipta Kumar, H. S. Behera, Swagatam Das, et al.. (2016). A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment. Neurocomputing. 207. 735–753. 113 indexed citations
16.
Tripathy, Hrudaya Kumar, et al.. (2014). Implementation of Artificial Neural Network Training Data in Micro-Controller Based Embedded System. Oriental journal of computer science and technology. 7(1). 199–206.
17.
Tripathy, Hrudaya Kumar, et al.. (2013). An Autonomous Intelligent tool for Problem Solving in Programming. LAP LAMBERT Academic Publishing eBooks. 1 indexed citations
18.
19.
Tripathy, Hrudaya Kumar, B. K. Tripathy, & Pradip K. Das. (2008). A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition. Journal of Convergence Information Technology. 3. 51–56. 18 indexed citations
20.
Tripathy, Hrudaya Kumar, B. K. Tripathy, & Pradip K. Das. (2008). A Prospective Fuzzy Logic approach to Knowledge-based Navigation of Mobile LEGO-Robot.. Journal of Convergence Information Technology. 3. 64–70. 5 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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