Arunabha Roy

1.1k total citations · 2 hit papers
16 papers, 885 citations indexed

About

Arunabha Roy is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Arunabha Roy has authored 16 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Arunabha Roy's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Arunabha Roy is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Arunabha Roy collaborates with scholars based in United States, India and United Kingdom. Arunabha Roy's co-authors include Paul Marsden, Vicky Goh, Gary Cook, Sugama Chicklore, Musib Siddique, Shahreen Ahmad, Muhammad Siddique, David Landau, Connie Yip and Samuel G. Armato and has published in prestigious journals such as Medical Physics, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Arunabha Roy

15 papers receiving 872 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.

Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis

2012 382 citations Sugama Chicklore, Vicky Goh et al. European Journal of Nuclear Medicine and Molecular Imaging profile →
Are Pretreatment ¹⁸F-FDG PET Tumor Textural Features in Non–Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?

2012 329 citations Gary Cook, Connie Yip et al. Journal of Nuclear Medicine profile →

Peers

Arunabha Roy

RNMI

PRM

ONCOL

Sonia Skamene Canada

D Khullar United States

N. Albarghach France

Mattea Welch Canada

M Jermoumi United States

Qingtao Qiu China

Mariyah Selmi United Kingdom

Ece Ateş Kuş Türkiye

Cristiana Fanciullo Italy

Brian Hrycushko United States

Sonia Skamene Canada

Arunabha Roy

718 ×0.9

RNMI

328 ×1.0

PRM

222 ×1.3

127 ×1.1

ONCOL

141 ×1.5

Citations per year, relative to Arunabha Roy Arunabha Roy (= 1×) peers Sonia Skamene

Countries citing papers authored by Arunabha Roy

Since Specialization

Citations

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

Fields of papers citing papers by Arunabha Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunabha Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Arunabha Roy. A scholar is included among the top collaborators of Arunabha Roy 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 Arunabha Roy. Arunabha Roy 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:

16 of 16 papers shown

Mondal, Naba Kumar & Arunabha Roy. (2018). Potentiality of a fruit peel (banana peel) toward abatement of fluoride from synthetic and underground water samples collected from fluoride affected villages of Birbhum district. Applied Water Science. 8(3). 25 indexed citations

Roy, Arunabha. (2017). GST in India: A Layman's guide. 8(2). 219–219. 1 indexed citations

Chalkidou, Anastasia, Rhonda Henley‐Smith, Arunabha Roy, et al.. (2015). A method for accurate spatial registration of PET images and histopathology slices. EJNMMI Research. 5(1). 64–64. 6 indexed citations

Roy, Arunabha & S. M. Roy. (2014). Optimum phase space probabilities from quantum tomography. Journal of Mathematical Physics. 55(1). 3 indexed citations

Chicklore, Sugama, Vicky Goh, Musib Siddique, et al.. (2012). Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. European Journal of Nuclear Medicine and Molecular Imaging. 40(1). 133–140. 382 indexed citations breakdown →

Cook, Gary, Connie Yip, Muhammad Siddique, et al.. (2012). Are Pretreatment ¹⁸F-FDG PET Tumor Textural Features in Non–Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?. Journal of Nuclear Medicine. 54(1). 19–26. 329 indexed citations breakdown →

Srivastava, Avanish Kumar, T.H. Mahato, Beer Singh, et al.. (2012). Breakthrough behaviour of NBC canister against carbon tetrachloride: a simulant for chemical warfare agents. Carbon letters. 13(2). 109–114. 2 indexed citations

Thielemans, Kris, et al.. (2011). Robust motion correction for respiratory gated PET/CT using weighted averaging. 2964–2967. 3 indexed citations

Miller, James V., et al.. (2010). Improved robust point matching with label consistency. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76231D–76231D. 2 indexed citations

10.

Miller, James V., et al.. (2010). Bi-directional labeled point matching. 380–383. 2 indexed citations

11.

Roy, Arunabha, et al.. (2007). Deformable Density Matching for 3D Non-rigid Registration of Shapes. Lecture notes in computer science. 10(Pt 1). 942–949. 11 indexed citations

12.

Roy, Arunabha, Samuel G. Armato, Andrew Wilson, & Karen Drukker. (2006). Automated detection of lung nodules in CT scans: False‐positive reduction with the radial‐gradient index. Medical Physics. 33(4). 1133–1140. 16 indexed citations

13.

Armato, Samuel G., Arunabha Roy, Heber MacMahon, et al.. (2005). Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program1. Academic Radiology. 12(3). 337–346. 26 indexed citations

14.

Wu, Changhua, Gady Agam, Arunabha Roy, & Samuel G. Armato. (2004). Regulated morphology approach to fuzzy shape analysis with application to blood vessel extraction in thoracic CT scans. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5370. 1262–1262. 12 indexed citations

15.

Armato, Samuel G., Michael B. Altman, Shusuke Sone, et al.. (2003). Automated lung nodule classification following automated nodule detection on CT: A serial approach. Medical Physics. 30(6). 1188–1197. 64 indexed citations

16.

Ray, A., et al.. (1995). A neural method for determining electromagnetic shower positions in laterally segmented calorimeters. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 364(3). 524–530. 1 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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