Jennifer Eunice

873 total citations · 2 hit papers
20 papers, 452 citations indexed

About

Jennifer Eunice is a scholar working on Artificial Intelligence, Computer Networks and Communications and Human-Computer Interaction. According to data from OpenAlex, Jennifer Eunice has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Human-Computer Interaction. Recurrent topics in Jennifer Eunice's work include Smart Agriculture and AI (3 papers), Privacy, Security, and Data Protection (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Jennifer Eunice is often cited by papers focused on Smart Agriculture and AI (3 papers), Privacy, Security, and Data Protection (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Jennifer Eunice collaborates with scholars based in India, United States and Japan. Jennifer Eunice's co-authors include J. Andrew, D. Jude Hemanth, M. Kalpana Chowdary, Daniela Elena Popescu, Yuichi Sei, K. Martin Sagayam, Bharat Bhushan, J. Karthikeyan, Kumudha Raimond and Marc Pomplun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Jennifer Eunice

16 papers receiving 422 citations

Hit Papers

Deep Learning-Based Leaf Disease Detection in Crops Using... 2022 2026 2023 2024 2022 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Eunice India 9 234 93 87 67 48 20 452
Abhineet Anand India 11 208 0.9× 67 0.7× 64 0.7× 69 1.0× 77 1.6× 49 490
Youssef Es-Saady Morocco 12 232 1.0× 93 1.0× 54 0.6× 156 2.3× 23 0.5× 32 558
Poonam Dhiman India 8 249 1.1× 120 1.3× 59 0.7× 65 1.0× 62 1.3× 14 498
Sameerchand Pudaruth Mauritius 9 192 0.8× 98 1.1× 29 0.3× 51 0.8× 76 1.6× 57 441
M. Suresha India 13 109 0.5× 83 0.9× 75 0.9× 170 2.5× 46 1.0× 30 429
Naresh Kumar Trivedi India 13 319 1.4× 119 1.3× 40 0.5× 99 1.5× 49 1.0× 73 615
Asad Ullah Pakistan 12 194 0.8× 59 0.6× 29 0.3× 74 1.1× 27 0.6× 32 546
Venkatramaphanikumar Sistla India 10 181 0.8× 60 0.6× 40 0.5× 122 1.8× 21 0.4× 34 450
Shilpi Harnal India 9 331 1.4× 129 1.4× 34 0.4× 39 0.6× 25 0.5× 24 464

Countries citing papers authored by Jennifer Eunice

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Eunice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Eunice

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Eunice. A scholar is included among the top collaborators of Jennifer Eunice 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 Jennifer Eunice. Jennifer Eunice 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.
Moses, J. D., et al.. (2025). Advanced Oxidation Process: Tearting Organic Pollutant. International Research Journal on Advanced Engineering Hub (IRJAEH). 3(3). 330–338.
2.
Andrew, J., et al.. (2024). SleepyWheels: An ensemble model for drowsiness detection leading to accident prevention. Journal of Autonomous Intelligence. 7(3).
3.
Kanaga, E. Grace Mary, et al.. (2024). Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms. International Journal of Computational Intelligence Systems. 17(1). 3 indexed citations
4.
Kathrine, G. Jaspher W., et al.. (2024). Securing Internet of Things Applications Using Software-Defined Network-Aided Group Key Management with a Modified One-Way Function Tree. Applied Sciences. 14(6). 2405–2405. 2 indexed citations
6.
Seetha, S., et al.. (2023). PDSCM: Packet Delivery Assured Secure Channel Selection for Multicast Routing in Wireless Mesh Networks. SHILAP Revista de lepidopterología. 11(5). 130–130.
7.
Eunice, Jennifer & D. Jude Hemanth. (2023). A review on computational methods based automated sign language recognition system for hearing and speech impaired community. Concurrency and Computation Practice and Experience. 35(9). 12 indexed citations
8.
Andrew, J., et al.. (2023). Artificial intelligence in adolescents mental health disorder diagnosis, prognosis, and treatment. Frontiers in Public Health. 11. 8 indexed citations
9.
Andrew, J., et al.. (2023). SkCanNet: A Deep Learning based Skin Cancer Classification Approach. 7(4). 35–45. 3 indexed citations
10.
Andrew, J., Jennifer Eunice, & J. Karthikeyan. (2023). An anonymization-based privacy-preserving data collection protocol for digital health data. Frontiers in Public Health. 11. 1125011–1125011. 11 indexed citations
11.
Eunice, Jennifer, J. Andrew, Yuichi Sei, & D. Jude Hemanth. (2023). Sign2Pose: A Pose-Based Approach for Gloss Prediction Using a Transformer Model. Sensors. 23(5). 2853–2853. 16 indexed citations
12.
Raimond, Kumudha, et al.. (2023). DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes. Artificial Intelligence in Agriculture. 11. 34–49. 46 indexed citations
13.
Andrew, J., et al.. (2023). Blockchain for healthcare systems: Architecture, security challenges, trends and future directions. Journal of Network and Computer Applications. 215. 103633–103633. 97 indexed citations breakdown →
14.
Aldhyani, Theyazn H. H., Hasan Alkahtani, Jennifer Eunice, & D. Jude Hemanth. (2022). Leaf Pathology Detection in Potato and Pepper Bell Plant using Convolutional Neural Networks. 2022 7th International Conference on Communication and Electronics Systems (ICCES). 1289–1294. 16 indexed citations
15.
Andrew, J., Jennifer Eunice, Daniela Elena Popescu, M. Kalpana Chowdary, & D. Jude Hemanth. (2022). Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications. Agronomy. 12(10). 2395–2395. 186 indexed citations breakdown →
16.
Andrew, J., et al.. (2022). Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing. IEEE Access. 10. 86979–86997. 25 indexed citations
17.
Andrew, J., et al.. (2021). Super-resolution reconstruction of brain magnetic resonance images via lightweight autoencoder. Informatics in Medicine Unlocked. 26. 100713–100713. 24 indexed citations
18.
Andrew, J., et al.. (2020). Improving Scalability and Balancing the Network Load Using Adaptive Multiparent Crossover Method in Wireless Sensor Networks. Journal of Computational and Theoretical Nanoscience. 17(5). 2415–2420. 1 indexed citations
19.
Barth, Andrew P., et al.. (2014). Petrogenetic connections between volcanic rocks and intrusive suites in the California arc - toward an integrated model for upper-crustal magma system evolution. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
20.
Eunice, Jennifer, et al.. (1960). Stratigraphy and Ostracoda of the Ozan, Annona, and Marlbrook Formations of Southwestern Arkansas.. 1 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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