R. Cristin

474 total citations
31 papers, 279 citations indexed

About

R. Cristin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, R. Cristin has authored 31 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in R. Cristin's work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and AI in cancer detection (4 papers). R. Cristin is often cited by papers focused on Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and AI in cancer detection (4 papers). R. Cristin collaborates with scholars based in India, Nepal and United States. R. Cristin's co-authors include B. Santhosh Kumar, K. Karthick, K. Suresh Kumar, T. Daniya, Balajee Maram, S. Vairamuthu, S. Vigneshwari, Ramanathan Lakshmanan, P. Karthikeyan and S. Velliangiri and has published in prestigious journals such as Artificial Intelligence Review, The Computer Journal and International Journal of Intelligent Systems.

In The Last Decade

R. Cristin

29 papers receiving 260 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. Cristin India 9 88 79 62 39 35 31 279
Ritesh Maurya India 11 142 1.6× 58 0.7× 41 0.7× 69 1.8× 24 0.7× 37 337
Saiful Islam India 11 51 0.6× 177 2.2× 50 0.8× 49 1.3× 19 0.5× 44 385
Karim Gasmi Saudi Arabia 11 119 1.4× 92 1.2× 74 1.2× 17 0.4× 57 1.6× 34 345
Hanaa A. Abdallah Saudi Arabia 10 51 0.6× 171 2.2× 35 0.6× 18 0.5× 47 1.3× 38 310
Mahmood A. Mahmood Saudi Arabia 8 130 1.5× 32 0.4× 75 1.2× 40 1.0× 11 0.3× 30 328
Amod Kumar Tiwari India 10 55 0.6× 55 0.7× 44 0.7× 53 1.4× 58 1.7× 27 269
Faris Kateb Saudi Arabia 11 99 1.1× 60 0.8× 32 0.5× 18 0.5× 9 0.3× 35 303
A S Remya Ajai India 8 66 0.8× 92 1.2× 42 0.7× 10 0.3× 18 0.5× 22 218

Countries citing papers authored by R. Cristin

Since Specialization
Citations

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

Fields of papers citing papers by R. Cristin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Cristin

This figure shows the co-authorship network connecting the top 25 collaborators of R. Cristin. A scholar is included among the top collaborators of R. Cristin 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. Cristin. R. Cristin 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.
Ananth, M. Belsam Jeba, et al.. (2025). Effective Charging Scheduling of Electric Vehicles Using a Hybrid Deep Learning Network. Energy Storage. 7(1).
2.
Ganeshan, Rajaram, et al.. (2024). Video forgery detection using competitive swarm sun flower optimization algorithm based deep learning. Wireless Networks. 31(1). 31–49. 2 indexed citations
3.
Cristin, R., et al.. (2023). Smart IoT in Breast Cancer Detection Using Optimal Deep Learning. Journal of Digital Imaging. 36(4). 1489–1506. 8 indexed citations
4.
Cristin, R., et al.. (2023). Traffic sign detection using Deep learning techniques. 9. 1–6.
5.
Maram, Balajee, et al.. (2022). Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network. International Journal of Intelligent Systems. 37(9). 6305–6330. 6 indexed citations
6.
Maram, Balajee, et al.. (2022). FWLICM-Deep Learning: Fuzzy Weighted Local Information C-Means Clustering-Based Lung Lobe Segmentation with Deep Learning for COVID-19 Detection. Journal of Digital Imaging. 35(6). 1463–1478. 4 indexed citations
7.
8.
Ganeshan, Rajaram, et al.. (2021). Brain MRI Images Classifications with Deep Fuzzy Clustering and Deep Residual Network. International Journal of Computational Methods. 19(8). 1 indexed citations
9.
Cristin, R., et al.. (2021). Jaya Ant lion optimization-driven Deep recurrent neural network for cancer classification using gene expression data. Medical & Biological Engineering & Computing. 59(5). 1005–1021. 15 indexed citations
10.
Cristin, R., et al.. (2021). Squirrel Search Deer Hunting-Based Deep Recurrent Neural Network for Survival Prediction Using PAN-Cancer Gene Expression Data. The Computer Journal. 66(1). 245–266. 1 indexed citations
11.
Kumar, B. Santhosh, S. Karthik, & R. Cristin. (2021). Certain Inverstigations on Privacy-Preserving Data Mining Using Three-Dimensional Spin Revolution (3DSR) Scheme. Journal of The Institution of Engineers (India) Series B. 102(2). 387–402. 1 indexed citations
12.
Cristin, R., et al.. (2021). Severity Level Classification of Brain Tumor based on MRI Images using Fractional-Chicken Swarm Optimization Algorithm. The Computer Journal. 64(10). 1514–1530. 33 indexed citations
13.
Kumar, B. Santhosh, et al.. (2020). Investigation on Privacy Preserving using K-Anonymity Techniques. 1–7. 8 indexed citations
14.
Cristin, R.. (2020). Hybridized Algorithm: Spectrum Sensing and Minimization of PAPR in the MIMO System. 3(2). 18–26. 4 indexed citations
15.
Vairamuthu, S., et al.. (2020). Atom search‐Jaya‐based deep recurrent neural network for liver cancer detection. IET Image Processing. 15(2). 337–349. 12 indexed citations
16.
Cristin, R., et al.. (2020). Social bat optimisation dependent deep stacked auto‐encoder for skin cancer detection. IET Image Processing. 14(16). 4122–4131. 13 indexed citations
17.
Cristin, R., et al.. (2019). Face Image Forgery Detection by Weight Optimized Neural Network Model. 2(2). 17 indexed citations
18.
Kumar, B. Santhosh, et al.. (2018). A Systematic Study of Image Forgery Detection. Journal of Computational and Theoretical Nanoscience. 15(8). 2560–2564. 11 indexed citations
19.
Karthick, K., et al.. (2018). Survey of Image Processing Based Applications in AMR. 5(1). 12–19. 5 indexed citations
20.
Cristin, R., et al.. (2017). Consistency features and fuzzy-based segmentation for shadow and reflection detection in digital image forgery. Science China Information Sciences. 60(8). 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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