J. Andrew

1.7k total citations · 2 hit papers
54 papers, 870 citations indexed

About

J. Andrew is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Andrew has authored 54 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Andrew's work include Privacy-Preserving Technologies in Data (10 papers), IoT and Edge/Fog Computing (7 papers) and Blockchain Technology Applications and Security (6 papers). J. Andrew is often cited by papers focused on Privacy-Preserving Technologies in Data (10 papers), IoT and Edge/Fog Computing (7 papers) and Blockchain Technology Applications and Security (6 papers). J. Andrew collaborates with scholars based in India, Japan and United States. J. Andrew's co-authors include Jennifer Eunice, K. Martin Sagayam, Yuichi Sei, J. Karthikeyan, Bharat Bhushan, D. Jude Hemanth, Daniela Elena Popescu, M. Kalpana Chowdary, 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

J. Andrew

48 papers receiving 823 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications

2022 186 citations J. Andrew, Jennifer Eunice et al. profile →
Blockchain for healthcare systems: Architecture, security challenges, trends and future directions

2023 97 citations J. Andrew, K. Martin Sagayam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Andrew India	14	240	229	228	147	120	54	870
Hani Moaiteq Aljahdali Saudi Arabia	14	193 0.8×	181 0.8×	175 0.8×	175 1.2×	82 0.7×	38	737
Asad Masood Khattak United Arab Emirates	12	90 0.4×	140 0.6×	143 0.6×	80 0.5×	193 1.6×	21	607
Ramgopal Kashyap India	19	136 0.6×	104 0.5×	230 1.0×	165 1.1×	128 1.1×	52	987
Marwan Ali Albahar Saudi Arabia	15	164 0.7×	132 0.6×	421 1.8×	277 1.9×	100 0.8×	58	982
Madallah Alruwaili Saudi Arabia	19	105 0.4×	134 0.6×	326 1.4×	151 1.0×	179 1.5×	57	973
Vandana Sharma India	15	143 0.6×	109 0.5×	209 0.9×	101 0.7×	78 0.7×	121	773
Sultan Alfarhood Saudi Arabia	15	123 0.5×	87 0.4×	238 1.0×	89 0.6×	113 0.9×	91	743
Mejdl Safran Saudi Arabia	15	112 0.5×	88 0.4×	197 0.9×	90 0.6×	91 0.8×	92	719
Manik Rakhra India	19	336 1.4×	158 0.7×	299 1.3×	377 2.6×	259 2.2×	136	1.2k
Tanjim Mahmud Bangladesh	23	216 0.9×	129 0.6×	461 2.0×	100 0.7×	103 0.9×	90	1.2k

Countries citing papers authored by J. Andrew

Since Specialization

Citations

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

Fields of papers citing papers by J. Andrew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Andrew

This figure shows the co-authorship network connecting the top 25 collaborators of J. Andrew. A scholar is included among the top collaborators of J. Andrew 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 J. Andrew. J. Andrew 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

Chalmers, John, et al.. (2024). Deep-millet: a deep learning model for pearl millet disease identification to envisage precision agriculture. Environmental Research Communications. 6(10). 105031–105031. 2 indexed citations

Anand, R., et al.. (2024). Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models. SHILAP Revista de lepidopterología. 5. 351–363.

Andrew, J., et al.. (2024). SleepyWheels: An ensemble model for drowsiness detection leading to accident prevention. Journal of Autonomous Intelligence. 7(3).

Kumarganesh, S., et al.. (2024). Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform. Journal of Computational Biology. 31(8). 757–768. 2 indexed citations

Sei, Yuichi, et al.. (2024). Algorithm to satisfy l‐diversity by combining dummy records and grouping. Security and Privacy. 7(3). 3 indexed citations

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

Andrew, J., et al.. (2024). Diagnosis of Autism in Children Using Deep Learning Techniques by Analyzing Facial Features. SHILAP Revista de lepidopterología. 198–198. 14 indexed citations

Chandra, S. S. Vinod, et al.. (2024). A blended framework for audio spoof detection with sequential models and bags of auditory bites. Scientific Reports. 14(1). 20192–20192. 1 indexed citations

Andrew, J., et al.. (2023). Applying Deep Learning for the Examination of Voice Disorders in the Identification of Parkinson's Disease. 1–6. 3 indexed citations

10.

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.

11.

Kathrine, G. Jaspher W., et al.. (2023). Efficient Deep Learning-Based Cyber-Attack Detection for Internet of Medical Things Devices. SHILAP Revista de lepidopterología. 139–139. 10 indexed citations

12.

Ramalakshmi, K., et al.. (2023). GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images. Bioengineering. 10(7). 809–809. 28 indexed citations

13.

Andrew, J., et al.. (2023). Penggunaan Metode Text Mining Untuk Mengekstrak Informasi Penting Dari Teks Laporan Penelitian. 1(4). 99–105.

14.

Andrew, J., et al.. (2023). Artificial intelligence in adolescents mental health disorder diagnosis, prognosis, and treatment. Frontiers in Public Health. 11. 8 indexed citations

15.

Kathrine, G. Jaspher W., et al.. (2023). A constructive airborne‐ground matrix algorithm for modern telecommunication systems. IET Networks. 13(2). 147–164. 1 indexed citations

16.

Andrew, J., et al.. (2023). SkCanNet: A Deep Learning based Skin Cancer Classification Approach. 7(4). 35–45. 3 indexed citations

17.

Andrew, J., et al.. (2022). Resource Provisioning Techniques in Multi-Access Edge Computing Environments: Outlook, Expression, and Beyond. Mobile Information Systems. 2022. 1–24. 1 indexed citations

18.

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

19.

Andrew, J. & J. Karthikeyan. (2020). An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis. SHILAP Revista de lepidopterología. 12(12). 50–67. 12 indexed citations

20.

Andrew, J. & J. Karthikeyan. (2019). Privacy-Preserving Internet of Things: Techniques and Applications. International Journal of Engineering and Advanced Technology. 8(6). 3229–3234. 9 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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