Sudip Kumar Adhikari

402 total citations
14 papers, 285 citations indexed

About

Sudip Kumar Adhikari is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sudip Kumar Adhikari has authored 14 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sudip Kumar Adhikari's work include Medical Image Segmentation Techniques (12 papers), Image Retrieval and Classification Techniques (6 papers) and Remote-Sensing Image Classification (5 papers). Sudip Kumar Adhikari is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Image Retrieval and Classification Techniques (6 papers) and Remote-Sensing Image Classification (5 papers). Sudip Kumar Adhikari collaborates with scholars based in India and United States. Sudip Kumar Adhikari's co-authors include Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri, Punam K. Saha, Prasenjit Dey, D. Basu and Sourav De and has published in prestigious journals such as Applied Soft Computing, Journal of Chemometrics and Signal Image and Video Processing.

In The Last Decade

Sudip Kumar Adhikari

13 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudip Kumar Adhikari India 7 216 100 78 61 38 14 285
Xiaosheng Wu China 10 200 0.9× 69 0.7× 46 0.6× 91 1.5× 57 1.5× 24 323
Nacéra Benamrane Algeria 8 171 0.8× 114 1.1× 25 0.3× 89 1.5× 45 1.2× 39 255
Minakshi Banerjee India 8 173 0.8× 63 0.6× 52 0.7× 33 0.5× 35 0.9× 20 227
Muhammad Sharif Pakistan 12 302 1.4× 111 1.1× 80 1.0× 99 1.6× 103 2.7× 23 433
Heba A. Elnemr Egypt 10 185 0.9× 27 0.3× 112 1.4× 45 0.7× 65 1.7× 15 337
Lingraj Dora India 7 166 0.8× 78 0.8× 44 0.6× 116 1.9× 70 1.8× 19 314
Amna Sarwar Pakistan 4 171 0.8× 162 1.6× 17 0.2× 90 1.5× 41 1.1× 6 257
T. M. Shahriar Sazzad Bangladesh 5 138 0.6× 167 1.7× 15 0.2× 104 1.7× 56 1.5× 20 249
Priyadarshini Adyasha Pattanaik India 8 151 0.7× 28 0.3× 31 0.4× 91 1.5× 87 2.3× 20 282
Swarup Kr Ghosh India 11 89 0.4× 37 0.4× 26 0.3× 84 1.4× 66 1.7× 27 236

Countries citing papers authored by Sudip Kumar Adhikari

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Kumar Adhikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudip Kumar Adhikari. 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 Sudip Kumar Adhikari. The network helps show where Sudip Kumar Adhikari may publish in the future.

Co-authorship network of co-authors of Sudip Kumar Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Kumar Adhikari. A scholar is included among the top collaborators of Sudip Kumar Adhikari 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 Sudip Kumar Adhikari. Sudip Kumar Adhikari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Dey, Prasenjit, et al.. (2024). Internet of Things-Based Machine Learning in Healthcare. 2 indexed citations
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Adhikari, Sudip Kumar, et al.. (2017). Convolution of 3D Gaussian surfaces for volumetric intensity inhomogeneity estimation and correction in 3D brain MR image data. IET Computer Vision. 12(3). 288–297. 4 indexed citations
6.
Adhikari, Sudip Kumar, et al.. (2017). A two-stage fuzzy multi-objective framework for segmentation of 3D MRI brain image data. Applied Soft Computing. 60. 312–327. 24 indexed citations
7.
Adhikari, Sudip Kumar, et al.. (2016). On estimation of bias field in MRI images: polynomial vs Gaussian surface fitting method. Journal of Chemometrics. 30(10). 602–620. 11 indexed citations
8.
Adhikari, Sudip Kumar, Jamuna Kanta Sing, & Dipak Kumar Basu. (2016). Bias field estimation and segmentation of MRI images using a Spatial Fuzzy C-means algorithm. 5. 158–162. 2 indexed citations
9.
Sing, Jamuna Kanta, Sudip Kumar Adhikari, & Dipak Kumar Basu. (2015). A modified fuzzy C‐means algorithm using scale control spatial information for MRI image segmentation in the presence of noise. Journal of Chemometrics. 29(9). 492–505. 32 indexed citations
10.
Sing, Jamuna Kanta, et al.. (2015). On estimation of bias field in MRI images. 269–274. 4 indexed citations
11.
Adhikari, Sudip Kumar, Jamuna Kanta Sing, Dipak Kumar Basu, & Mita Nasipuri. (2015). Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images. Applied Soft Computing. 34. 758–769. 123 indexed citations
12.
Adhikari, Sudip Kumar, Jamuna Kanta Sing, Dipak Kumar Basu, & Mita Nasipuri. (2015). A spatial fuzzy C-means algorithm with application to MRI image segmentation. 1–6. 19 indexed citations
13.
Adhikari, Sudip Kumar, Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri, & Punam K. Saha. (2014). A nonparametric method for intensity inhomogeneity correction in MRI brain images by fusion of Gaussian surfaces. Signal Image and Video Processing. 9(8). 1945–1954. 15 indexed citations
14.
Adhikari, Sudip Kumar, Jamuna Kanta Sing, D. Basu, Mita Nasipuri, & Punam K. Saha. (2012). Segmentation of MRI brain images by incorporating intensity inhomogeneity and spatial information using probabilistic fuzzy c-means clustering algorithm. 5. 129–132. 6 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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