R. Dinesh Jackson Samuel

1.4k total citations
32 papers, 644 citations indexed

About

R. Dinesh Jackson Samuel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, R. Dinesh Jackson Samuel has authored 32 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in R. Dinesh Jackson Samuel's work include Digital Imaging for Blood Diseases (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Cell Image Analysis Techniques (3 papers). R. Dinesh Jackson Samuel is often cited by papers focused on Digital Imaging for Blood Diseases (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Cell Image Analysis Techniques (3 papers). R. Dinesh Jackson Samuel collaborates with scholars based in India, China and United Kingdom. R. Dinesh Jackson Samuel's co-authors include Revathi Sundarasekar, Seifedine Kadry, Gunasekaran Manogaran, Sujatha Krishnamoorthy, C. B. Sivaparthipan, BalaAnand Muthu, V E Sathishkumar, S. Jeeva, G. N. Vivekananda and Adhiyaman Manickam and has published in prestigious journals such as Scientific Reports, IEEE Access and Sustainability.

In The Last Decade

R. Dinesh Jackson Samuel

29 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Dinesh Jackson Samuel India 12 237 173 96 85 69 32 644
Ahmad Shaf Pakistan 15 131 0.6× 211 1.2× 114 1.2× 125 1.5× 31 0.4× 41 570
Bhushankumar Nemade India 10 195 0.8× 163 0.9× 55 0.6× 55 0.6× 91 1.3× 27 808
Kamal Kumar Ghanshala India 9 122 0.5× 128 0.7× 100 1.0× 38 0.4× 74 1.1× 26 537
Amel Ksibi Saudi Arabia 15 174 0.7× 192 1.1× 113 1.2× 48 0.6× 90 1.3× 78 712
Rajeswari Chengoden India 11 211 0.9× 81 0.5× 111 1.2× 40 0.5× 101 1.5× 15 732
Mohammad Mustafa Taye Jordan 2 179 0.8× 104 0.6× 42 0.4× 71 0.8× 37 0.5× 7 772
Md. Sakib Bin Alam Bangladesh 8 194 0.8× 79 0.5× 113 1.2× 44 0.5× 65 0.9× 20 731
Sunil Aryal Australia 19 481 2.0× 259 1.5× 114 1.2× 140 1.6× 49 0.7× 66 1.1k
P. Prabu India 17 159 0.7× 173 1.0× 123 1.3× 39 0.5× 101 1.5× 46 686
Abdelwahed Motwakel Saudi Arabia 16 368 1.6× 175 1.0× 272 2.8× 109 1.3× 101 1.5× 150 942

Countries citing papers authored by R. Dinesh Jackson Samuel

Since Specialization
Citations

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

Fields of papers citing papers by R. Dinesh Jackson Samuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Dinesh Jackson Samuel. 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 R. Dinesh Jackson Samuel. The network helps show where R. Dinesh Jackson Samuel may publish in the future.

Co-authorship network of co-authors of R. Dinesh Jackson Samuel

This figure shows the co-authorship network connecting the top 25 collaborators of R. Dinesh Jackson Samuel. A scholar is included among the top collaborators of R. Dinesh Jackson Samuel 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 R. Dinesh Jackson Samuel. R. Dinesh Jackson Samuel 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.
Mount, Jerry, Yusuf Sermet, R. Dinesh Jackson Samuel, et al.. (2025). A community-centric intelligent cyberinfrastructure for addressing nitrogen pollution using web systems and conversational AI. Environmental Science & Policy. 167. 104055–104055. 2 indexed citations
2.
Samuel, R. Dinesh Jackson, et al.. (2025). Optimizing brain stroke detection with a weighted voting ensemble machine learning model. Scientific Reports. 15(1). 31215–31215.
3.
4.
Samuel, R. Dinesh Jackson, Yusuf Sermet, David M. Cwiertny, & İbrahim Demir. (2024). Integrating vision‐based AI and large language models for real‐time water pollution surveillance. Water Environment Research. 96(8). e11092–e11092. 11 indexed citations
5.
Mathivanan, Sandeep Kumar, et al.. (2023). Deep learning models for predicting the position of the head on an X-ray image for Cephalometric analysis. Intelligent Data Analysis. 27. 3–27. 2 indexed citations
6.
Samuel, R. Dinesh Jackson, et al.. (2023). Image Smart Segmentation Analysis Against Diabetic Foot Ulcer Using Internet of Things with Virtual Sensing. Big Data. 12(2). 155–172. 2 indexed citations
7.
Wan, Zhijiang, et al.. (2023). CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation. IEEE Journal of Biomedical and Health Informatics. 28(2). 730–741. 7 indexed citations
8.
Zhang, Qian, et al.. (2022). Visually Improved Digital Media Communication Using Virtual Reality Technology and Digital Twin. Journal of Interconnection Networks. 22(Supp04). 6 indexed citations
9.
Samuel, R. Dinesh Jackson, et al.. (2022). Research on the Application of Computer Image Processing Technology in Painting Creation. Journal of Interconnection Networks. 22(Supp05). 3 indexed citations
10.
Chen, Weimiao, et al.. (2021). Computer Vision for Dynamic Student Data Management in Higher Education Platform.. 36. 5–23. 12 indexed citations
11.
Liu, Yaming, et al.. (2021). Brain-computer Interaction Enabled AAC for Visual Interactive Paradigm. International Journal of Artificial Intelligence Tools. 30(06n08). 1 indexed citations
12.
Manickam, Adhiyaman, et al.. (2021). Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures. Measurement. 184. 109953–109953. 69 indexed citations
13.
Kumar, Priyan Malarvizhi, et al.. (2021). Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring. International Journal of Artificial Intelligence Tools. 30(06n08). 10 indexed citations
14.
Samuel, R. Dinesh Jackson & Fabio Cuzzolin. (2021). SVD-GAN for Real-Time Unsupervised Video Anomaly Detection.
15.
Cuzzolin, Fabio, et al.. (2020). Surgical Hand Gesture Prediction for the Operating Room. Studies in health technology and informatics. 273. 97–103. 1 indexed citations
16.
Samuel, R. Dinesh Jackson, et al.. (2019). Real time violence detection framework for football stadium comprising of big data analysis and deep learning through bidirectional LSTM. Computer Networks. 151. 191–200. 122 indexed citations
17.
Wang, Chunmei, et al.. (2019). Cloud assisted big data information retrieval system for critical data supervision in disaster regions. Computer Communications. 151. 548–555. 13 indexed citations
18.
Sivakumar, V., et al.. (2019). A Review of Multi-resolution Analysis (MRA) and Multi-geometric Analysis (MGA) Tools Used in the Fusion of Remote Sensing Images. Circuits Systems and Signal Processing. 39(6). 3145–3172. 23 indexed citations
19.
Sundarasekar, Revathi, P. Mohamed Shakeel, S. Baskar, et al.. (2019). Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks. IEEE Access. 7. 80093–80103. 46 indexed citations
20.
Samuel, R. Dinesh Jackson & B. Rajesh Kanna. (2018). A programmable microscopic stage: Design and development. Microscopy Research and Technique. 82(4). 429–442. 2 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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