Nilamani Bhoi

485 total citations
28 papers, 332 citations indexed

About

Nilamani Bhoi is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nilamani Bhoi has authored 28 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Ophthalmology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nilamani Bhoi's work include Digital Imaging for Blood Diseases (9 papers), Retinal Imaging and Analysis (9 papers) and Glaucoma and retinal disorders (8 papers). Nilamani Bhoi is often cited by papers focused on Digital Imaging for Blood Diseases (9 papers), Retinal Imaging and Analysis (9 papers) and Glaucoma and retinal disorders (8 papers). Nilamani Bhoi collaborates with scholars based in India. Nilamani Bhoi's co-authors include Priyadarsan Parida, Mihir Narayan Mohanty and Sukadev Meher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Electrical Engineering and Engineering Science and Technology an International Journal.

In The Last Decade

Nilamani Bhoi

27 papers receiving 302 citations

Peers

Nilamani Bhoi

CVPR

RNMI

OPHTH

MT

AI

Shaukat Hayat China

Tati Rajab Mengko Indonesia

Temitope Mapayi South Africa

Zaka Ur Rehman Malaysia

Ravi Kamble India

Zhanqiang Huo China

André M. Santana Brazil

Dattatray V. Jadhav India

Muhammad Sharif Pakistan

Kevin Noronha India

Shaukat Hayat China

Nilamani Bhoi

103 ×0.5

CVPR

164 ×1.1

RNMI

106 ×1.0

OPHTH

12 ×0.2

MT

34 ×0.8

AI

Citations per year, relative to Nilamani Bhoi Nilamani Bhoi (= 1×) peers Shaukat Hayat

Countries citing papers authored by Nilamani Bhoi

Since Specialization

Citations

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

Fields of papers citing papers by Nilamani Bhoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilamani Bhoi

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

All Works

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20 of 20 papers shown

1.

Bhoi, Nilamani, et al.. (2024). Robust Fuzzy C-Means Clustering Algorithm Based on Normal Shrink and Membership Filtering for Image Segmentation. SHILAP Revista de lepidopterología. 27(1).

2.

Bhoi, Nilamani, et al.. (2020). Object Detection and Tracking using Watershed Segmentation and KLT Tracker. 2 indexed citations

3.

Parida, Priyadarsan, et al.. (2020). Retinal Blood Vessel Extraction from Fundus Images Using Enhancement Filtering and Clustering. SHILAP Revista de lepidopterología. 19(1). 38–52. 5 indexed citations

4.

Bhoi, Nilamani, et al.. (2019). Retinal Blood Vessel Extraction From Fundus Images Using Improved Otsu Method. International Journal of E-Health and Medical Communications. 10(2). 21–43. 1 indexed citations

5.

Parida, Priyadarsan & Nilamani Bhoi. (2018). Feature based transition region extraction for image segmentation: Application to worm separation from leaves. SHILAP Revista de lepidopterología. 3(2). 262–274. 2 indexed citations

6.

Bhoi, Nilamani, et al.. (2018). An Unsupervised Approach for Extraction of Blood Vessels from Fundus Images. Journal of Digital Imaging. 31(6). 857–868. 26 indexed citations

7.

Bhoi, Nilamani, et al.. (2018). Dual Transition Region Extraction based Colour Image Segmentation: Application to Fish Image Segmentation. 1 indexed citations

8.

Parida, Priyadarsan & Nilamani Bhoi. (2018). Fuzzy clustering based transition region extraction for image segmentation. Engineering Science and Technology an International Journal. 21(4). 547–563. 16 indexed citations

9.

Bhoi, Nilamani, et al.. (2018). Retinal blood vessels extraction from fundus images using an automated method. 5370. 1–5. 2 indexed citations

10.

Parida, Priyadarsan & Nilamani Bhoi. (2017). Wavelet based transition region extraction for image segmentation. 2(2). 65–78. 27 indexed citations

11.

Bhoi, Nilamani, et al.. (2017). Detection of retinal blood vessels from ophthalmoscope images using morphological approach. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 16(1). 1–14. 14 indexed citations

12.

Parida, Priyadarsan, et al.. (2017). Colour image segmentation based on transition region and morphological operation. 10. 1293–1297. 4 indexed citations

13.

Parida, Priyadarsan & Nilamani Bhoi. (2016). 2-D Gabor filter based transition region extraction and morphological operation for image segmentation. Computers & Electrical Engineering. 62. 119–134. 17 indexed citations

14.

Bhoi, Nilamani, et al.. (2016). A method for blood vessel segmentation in retinal images using morphological reconstruction. 61. 1–5. 5 indexed citations

15.

Parida, Priyadarsan & Nilamani Bhoi. (2016). Transition region based single and multiple object segmentation of gray scale images. Engineering Science and Technology an International Journal. 19(3). 1206–1215. 17 indexed citations

16.

Bhoi, Nilamani, et al.. (2015). A Survey on Blood Vessel Detection Methodologies in Retinal Images. 26. 166–171. 10 indexed citations

17.

Bhoi, Nilamani, et al.. (2015). Effective clustering of microarray gene expression data using signal processing and soft computing methods. 15. 1–4. 1 indexed citations

18.

Bhoi, Nilamani, et al.. (2013). A new filter for removal of salt and pepper noise. 141–144. 4 indexed citations

19.

Bhoi, Nilamani & Mihir Narayan Mohanty. (2010). Template Matching based Eye Detection in Facial Image. International Journal of Computer Applications. 12(5). 15–18. 26 indexed citations

20.

Bhoi, Nilamani & Sukadev Meher. (2008). Circular spatial filtering under high-noise-variance conditions. Computers & Graphics. 32(5). 568–580. 7 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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