Jayant Jagtap

570 total citations
40 papers, 314 citations indexed

About

Jayant Jagtap is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Jayant Jagtap has authored 40 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Plant Science and 5 papers in Computer Networks and Communications. Recurrent topics in Jayant Jagtap's work include Smart Agriculture and AI (7 papers), Brain Tumor Detection and Classification (5 papers) and Face recognition and analysis (5 papers). Jayant Jagtap is often cited by papers focused on Smart Agriculture and AI (7 papers), Brain Tumor Detection and Classification (5 papers) and Face recognition and analysis (5 papers). Jayant Jagtap collaborates with scholars based in India, Iraq and Malaysia. Jayant Jagtap's co-authors include Manesh Kokare, Jitender Saini, Madhura Ingalhalikar, Shruti Patil, Ketan Kotecha, Jayasree Chakraborty, Natally Horvat, Ajith Abraham, MVV Prasad Kantipudi and Anuradha Thakare and has published in prestigious journals such as Scientific Reports, Neuroscience and Expert Systems with Applications.

In The Last Decade

Jayant Jagtap

31 papers receiving 309 citations

Peers

Jayant Jagtap
Siddharth Gupta India
Shubham Innani United States
Robail Yasrab United Kingdom
Hatice Çatal Reis Türkiye
Keyin Chen China
Francis Jesmar P. Montalbo Philippines
Carlos Alberto Olvera-Olvera Mexico
Veysel Turk Türkiye
Kaiqiong Sun China
Siddharth Gupta India
Jayant Jagtap
Citations per year, relative to Jayant Jagtap Jayant Jagtap (= 1×) peers Siddharth Gupta

Countries citing papers authored by Jayant Jagtap

Since Specialization
Citations

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

Fields of papers citing papers by Jayant Jagtap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayant Jagtap

This figure shows the co-authorship network connecting the top 25 collaborators of Jayant Jagtap. A scholar is included among the top collaborators of Jayant Jagtap 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 Jayant Jagtap. Jayant Jagtap 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.
Yadav, Anupam, et al.. (2025). Machine learning frameworks to accurately predict coke reactivity index. Energy Exploration & Exploitation. 43(3). 1224–1248. 1 indexed citations
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Khatibi, Ali, et al.. (2025). Improving Reliability and Data Management in Internet of Things Based Wireless Sensor Networks. Internet Technology Letters. 8(6).
4.
Kantipudi, MVV Prasad, et al.. (2025). Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques. Scientific Reports. 15(1). 17311–17311.
5.
Prasad, S., Madhu Shukla, Anupam Yadav, et al.. (2025). Quantum behaved binary gravitational search algorithm with random forest for twitter spammer detection. Results in Engineering. 25. 103993–103993. 3 indexed citations
6.
Tang, Jingyi, et al.. (2025). Robust prediction of Coke Reactivity Index via machine learning methods. Canadian Metallurgical Quarterly. 65(2). 2157–2176.
7.
Davidson, M. J., M. Srinivas, C. S. P. Rao, et al.. (2025). Segmentation Studies on Al‐Si‐Mg Metallographic Images Using Various Different Deep Learning Algorithms and Loss Functions. Engineering Reports. 7(4). 1 indexed citations
8.
Kopalli, Spandana Rajendra, Ankur Srivastava, Jayant Jagtap, et al.. (2025). Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery. Neuroscience. 572. 214–231. 6 indexed citations
9.
Jagtap, Jayant, et al.. (2024). Early Terrain Identification for Mobile Robots Using Inertial Measurement Sensors and Machine Learning Techniques. Journal Européen des Systèmes Automatisés. 57(6). 1631–1638.
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Jagtap, Jayant, et al.. (2024). An optimized two stage U-Net approach for segmentation of pancreas and pancreatic tumor. MethodsX. 13. 102995–102995. 6 indexed citations
13.
Gupta, Khushi, Avinash Kumar Jha, Jayant Jagtap, et al.. (2024). Deep Learning Framework for Liver Tumor Segmentation. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations
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Jagtap, Jayant, et al.. (2024). An Overview of Hand-Drawn Diagram Recognition Methods and Applications. IEEE Access. 12. 19739–19751. 4 indexed citations
16.
Jagtap, Jayant, et al.. (2023). Radiomics for Parkinson's disease classification using advanced texture-based biomarkers. MethodsX. 11. 102359–102359. 6 indexed citations
17.
Jagtap, Jayant, et al.. (2023). Review of handwritten document recognition strategies: Patent perspective. Collnet Journal of Scientometrics and Information Management. 17(2). 323–355. 1 indexed citations
18.
Jagtap, Jayant, et al.. (2021). Bibliometric Review on Image Based Plant Phenotyping. Insecta mundi. 1 indexed citations
19.
Jagtap, Jayant, et al.. (2021). Plant trait estimation and classification studies in plant phenotyping using machine vision – A review. Information Processing in Agriculture. 10(1). 114–135. 76 indexed citations
20.
Jagtap, Jayant, et al.. (2021). Spatio-temporal deep neural networks for accession classification of Arabidopsis plants using image sequences. Ecological Informatics. 64. 101334–101334. 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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