Fahimuddin Shaik

602 total citations
40 papers, 137 citations indexed

About

Fahimuddin Shaik is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fahimuddin Shaik has authored 40 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fahimuddin Shaik's work include Retinal Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (4 papers) and Brain Tumor Detection and Classification (4 papers). Fahimuddin Shaik is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (4 papers) and Brain Tumor Detection and Classification (4 papers). Fahimuddin Shaik collaborates with scholars based in India, United States and Saudi Arabia. Fahimuddin Shaik's co-authors include Vinit Kumar Gunjan, Ninni Singh, Sudipta Roy, Amit Kumar, Kuruva Lakshmanna, Allam Appa Rao, M. N. Giri Prasad, Kohulan Rajan, Anil Kumar Sharma and Mudassir Khan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Frontiers in Oncology.

In The Last Decade

Fahimuddin Shaik

23 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fahimuddin Shaik India 7 56 42 32 20 15 40 137
Mohamed R. Shoaib Egypt 9 65 1.2× 66 1.6× 56 1.8× 61 3.0× 9 0.6× 20 198
Nitesh Pradhan India 10 62 1.1× 44 1.0× 107 3.3× 16 0.8× 11 0.7× 24 223
Yasmina Al Khalil Netherlands 9 59 1.1× 66 1.6× 62 1.9× 11 0.6× 9 0.6× 19 192
A. Mohanarathinam India 6 48 0.9× 49 1.2× 31 1.0× 42 2.1× 4 0.3× 25 132
B. Uma Maheswari India 7 35 0.6× 44 1.0× 43 1.3× 21 1.1× 7 0.5× 36 146
Zhengqing Xu China 4 56 1.0× 51 1.2× 28 0.9× 14 0.7× 8 0.5× 10 112
Mahesh Pawar India 8 52 0.9× 69 1.6× 79 2.5× 63 3.1× 13 0.9× 25 230
Abhishek Das India 7 60 1.1× 60 1.4× 115 3.6× 58 2.9× 3 0.2× 31 210
Eali Stephen Neal Joshua India 6 109 1.9× 19 0.5× 47 1.5× 14 0.7× 71 4.7× 13 151
Ahad Nasab United States 6 48 0.9× 22 0.5× 67 2.1× 12 0.6× 7 0.5× 15 195

Countries citing papers authored by Fahimuddin Shaik

Since Specialization
Citations

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

Fields of papers citing papers by Fahimuddin Shaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahimuddin Shaik

This figure shows the co-authorship network connecting the top 25 collaborators of Fahimuddin Shaik. A scholar is included among the top collaborators of Fahimuddin Shaik 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 Fahimuddin Shaik. Fahimuddin Shaik 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.
Khan, Mudassir, et al.. (2025). Enhancing Breast Cancer Detection Through Optimized Thermal Image Analysis Using PRMS-Net Deep Learning Approach. Journal of Imaging Informatics in Medicine. 39(1). 864–883. 1 indexed citations
2.
4.
Shaik, Fahimuddin, et al.. (2025). Enhanced multi-grade diabetic retinopathy detection and classification via ensembled deep learning model from retinal fundus images. Expert Systems with Applications. 285. 128116–128116. 1 indexed citations
6.
Khan, Mudassir, et al.. (2024). An integrated method for detecting lung cancer via CT scanning via optimization, deep learning, and IoT data transmission. Frontiers in Oncology. 14. 1435041–1435041. 2 indexed citations
11.
Singh, Ninni, Vinit Kumar Gunjan, Fahimuddin Shaik, & Sudipta Roy. (2024). Detection of Cardio Vascular abnormalities using gradient descent optimization and CNN. Health and Technology. 14(1). 155–168. 10 indexed citations
14.
Reddy, P. Sanjana, et al.. (2024). Integrated Methodology for Early Glaucoma Diagnosis Using Retinal Fundus Images. 1–6. 1 indexed citations
15.
Gunjan, Vinit Kumar, Ninni Singh, Fahimuddin Shaik, & Sudipta Roy. (2022). Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network. Health and Technology. 12(6). 1197–1210. 31 indexed citations
16.
Arif, Muhammad, et al.. (2022). An Improved Harmony Search Approach for Block Placement for VLSI Design Automation. Wireless Communications and Mobile Computing. 2022(1). 1 indexed citations
17.
Shaik, Fahimuddin, et al.. (2016). Hybrid model for analysis of abnormalities in diabetic cardiomyopathy and diabetic retinopathy related images. SpringerPlus. 5(1). 507–507. 5 indexed citations
18.
Shaik, Fahimuddin, et al.. (2012). Fuzzy-Neuro Logic in Segmentation of MRI Images. 4(3). 103–107. 2 indexed citations
19.
Suresh, Kalkunte R., et al.. (2011). Performance Analysis of Load Balancing Algorithms using Qualitative Parameters: A Review. 3(12). 810–814.
20.
Shaik, Fahimuddin, et al.. (2011). Feature Extraction of Satellite Images Using Decorrelation Stretching and Color Scatter Plots. 3(14). 873–877. 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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