R. Karthik

2.5k total citations · 1 hit paper
95 papers, 1.6k citations indexed

About

R. Karthik is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, R. Karthik has authored 95 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 16 papers in Neurology. Recurrent topics in R. Karthik's work include Brain Tumor Detection and Classification (16 papers), AI in cancer detection (14 papers) and Smart Agriculture and AI (11 papers). R. Karthik is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), AI in cancer detection (14 papers) and Smart Agriculture and AI (11 papers). R. Karthik collaborates with scholars based in India, United States and Malaysia. R. Karthik's co-authors include R. Menaka, M. Hariharan, Sundar Anand, Daehan Won, R. Rajalakshmi, V. Vaidehi, Yash Shah, C. Chellamuthu, Y. V. Pavan Kumar and K. Suganthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

R. Karthik

87 papers receiving 1.5k 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.

Attention embedded residual CNN for disease detection in tomato leaves

2019 392 citations R. Karthik, M. Hariharan et al. Applied Soft Computing profile →

Peers

Countries citing papers authored by R. Karthik

Since Specialization

Citations

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

Fields of papers citing papers by R. Karthik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

#	Work	Indexed citations
1	DeepCRC-Net: An Attention-Driven Deep Learning Network for Colorectal Cancer Classification Using Xception and Efficient Lightweight Local Feature Fusion Networks 2025 ·IEEE Access ·(unknown), (unknown), R. Karthik	2
2	Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features 2024 ·IEEE Access ·(unknown), (unknown), R. Karthik	1
3	A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), Jaehyuk Cho, V E Sathishkumar	3
4	GrapeLeafNet: A Dual-Track Feature Fusion Network With Inception-ResNet and Shuffle-Transformer for Accurate Grape Leaf Disease Identification 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), (unknown), (unknown), (unknown), Daehan Won	9
5	Dual Mode PID Controller for Path Planning of Encoder Less Mobile Robots in Warehouse Environment 2024 ·IEEE Access ·R. Karthik, R. Menaka, (unknown), (unknown), C. S. Vikram	3
6	An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features 2024 ·IEEE Access ·R. Karthik, (unknown), (unknown), Jaehyuk Cho, V E Sathishkumar	1
7	A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network 2024 ·IEEE Access ·R. Karthik, (unknown), (unknown), (unknown), K. Suganthi	7
8	A dual track deep fusion network for citrus disease classification using group shuffle depthwise feature pyramid and Swin transformer 2023 ·Ecological Informatics ·R. Karthik, (unknown), (unknown), Rashmi Mishra	13
9	Strength and workability characteristics of hybrid bamboo and steel fiber reinforced concrete 2023 ·Materials Today Proceedings ·(unknown), (unknown), R. Karthik, (unknown), (unknown), Dhanya Sathyan	12
10	HMARNET—A Hierarchical Multi‐Attention Residual Network for Gleason scoring of prostate cancer 2023 ·International Journal of Imaging Systems and Technology ·R. Karthik, R. Menaka, (unknown), (unknown), (unknown), Daehan Won	1
11	Detecting log anomaly using subword attention encoder and probabilistic feature selection 2023 ·Applied Intelligence ·M. Hariharan, (unknown), (unknown), (unknown), (unknown), (unknown), Prasanna Ganesan, R. Karthik	0
12	Signal Processing and AI-based Assessment of Rehabilitation Exercises for Diastasis Recti Abdominis 2023 ·Computer Systems Science and Engineering ·R. Karthik, (unknown), (unknown), Daehan Won, (unknown), (unknown), (unknown), (unknown), (unknown)	1
13	An Improved AlexNet Model and Cepstral Coefficient-Based Classification of Autism Using EEG 2023 ·Clinical EEG and Neuroscience ·R. Menaka, R. Karthik, (unknown), Mahesan Niranjan, Senthil Kabilan	15
14	A Dimension Centric Proximate Attention Network and Swin Transformer for Age-Based Classification of Mild Cognitive Impairment From Brain MRI 2023 ·IEEE Access ·(unknown), R. Karthik	17
15	AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions 2021 ·IRBM ·R. Karthik, R. Menaka, M. Hariharan, (unknown)	18
16	Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN 2020 ·Computer Methods and Programs in Biomedicine ·R. Karthik, R. Menaka, M. Hariharan, Daehan Won	27
17	Delineation of ischemic lesion from brain MRI using attention gated fully convolutional network 2020 ·Biomedical Engineering Letters ·R. Karthik, (unknown), R. Rajalakshmi, (unknown)	24
18	A deep supervised approach for ischemic lesion segmentation from multimodal MRI using Fully Convolutional Network 2019 ·Applied Soft Computing ·R. Karthik, (unknown), (unknown), R. Rajalakshmi, R. Menaka	56
19	Ischemic Stroke Detection from MRI Diffusion images using bifurcation analysis of texture features and fuzzy based segmentation 2015 ·R. Menaka, R. Karthik, Shivangi Gupta, (unknown)	4
20	Enhance Privacy Preserving In Location BasedService 2014 ·International Journal of Innovative Research in Computer and Communication Engineering ·R. Karthik, (unknown)	1

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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