Rijo Roy

446 total citations · 1 hit paper
6 papers, 225 citations indexed

About

Rijo Roy is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Rijo Roy has authored 6 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biophysics. Recurrent topics in Rijo Roy's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cell Image Analysis Techniques (3 papers). Rijo Roy is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cell Image Analysis Techniques (3 papers). Rijo Roy collaborates with scholars based in Germany and Iran. Rijo Roy's co-authors include Abin Jose, Ehsan Khodapanah Aghdam, Amirali Molaei, Dorit Merhof, Reza Azad, Amirhossein Kazerouni, Moein Heidari, Johannes Stegmaier, Dennis Eschweiler and Moritz Palmowski and has published in prestigious journals such as PLoS ONE, Radiology and PLoS Computational Biology.

In The Last Decade

Rijo Roy

6 papers receiving 220 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.

Advances in medical image analysis with vision Transformers: A comprehensive review

2023 188 citations Reza Azad, Amirhossein Kazerouni et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rijo Roy Germany	5	94	78	77	44	37	6	225
Abin Jose Germany	7	93 1.0×	113 1.4×	83 1.1×	44 1.0×	35 0.9×	22	278
Amirali Molaei Iran	3	99 1.1×	90 1.2×	72 0.9×	46 1.0×	44 1.2×	5	238
Ho Hin Lee United States	8	108 1.1×	89 1.1×	64 0.8×	26 0.6×	43 1.2×	30	210
Suchismita Das India	5	87 0.9×	91 1.2×	69 0.9×	69 1.6×	29 0.8×	16	207
Seyed Raein Hashemi United States	6	90 1.0×	99 1.3×	86 1.1×	43 1.0×	30 0.8×	7	242
Yassir Edrees Almalki Saudi Arabia	8	136 1.4×	50 0.6×	100 1.3×	62 1.4×	35 0.9×	32	258
Murali Krishna Puttagunta India	5	117 1.2×	54 0.7×	91 1.2×	28 0.6×	36 1.0×	6	233
Zhaoshuo Diao China	7	135 1.4×	97 1.2×	95 1.2×	62 1.4×	29 0.8×	15	279
Marija Habijan Croatia	10	111 1.2×	93 1.2×	84 1.1×	18 0.4×	54 1.5×	29	249
Andrés Anaya-Isaza Colombia	7	102 1.1×	77 1.0×	82 1.1×	102 2.3×	34 0.9×	9	256

Countries citing papers authored by Rijo Roy

Since Specialization

Citations

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

Fields of papers citing papers by Rijo Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rijo Roy

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

All Works

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6 of 6 papers shown

1.

Roy, Rijo, Moritz Palmowski, Peter Boor, et al.. (2024). Combining Radiomics and Autoencoders to Distinguish Benign and Malignant Breast Tumors on US Images. Radiology. 312(3). e232554–e232554. 8 indexed citations

2.

Jose, Abin, Rijo Roy, Daniel Moreno-Andrés, & Johannes Stegmaier. (2024). Automatic detection of cell-cycle stages using recurrent neural networks. PLoS ONE. 19(3). e0297356–e0297356. 2 indexed citations

3.

Eschweiler, Dennis, et al.. (2024). Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets. PLoS Computational Biology. 20(2). e1011890–e1011890. 15 indexed citations

4.

Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Analysis. 91. 103000–103000. 188 indexed citations breakdown →

5.

Jose, Abin, Rijo Roy, Dennis Eschweiler, et al.. (2023). End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. 1–5. 4 indexed citations

6.

Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. arXiv (Cornell University). 8 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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