Rijo Roy

501 citations
7 papers · 290 · 1 hit paper · h-index 5

Impact in

Papers in

Rijo Roy

6 papers receiving 285 citations

Rijo Roy's Hit Papers

Advances in medical image analysis with vision Transformers: A comprehensive review 2023 · 244 citations
2440+1+2Years since publication50100150200

Peers

Rijo Roy
Comparison fields: 5 of 67
  • Health Informatics 16
  • Neurology 46
  • Radiology, Nuclear Medicine and Imaging 94
  • Computer Vision and Pattern Recognition 94
  • Biophysics 19
Replace Amirali Molaei with:
Amirali Molaei Iran
Paul F. Jäger Germany
Junlin Yang United States
Andrés Anaya-Isaza Colombia
Haozhe Jia China
Murali Krishna Puttagunta India
Nripendra Kumar Singh India
Elima Hussain India
Ho Hin Lee United States
Rahul Venkataramani India
Rijo Roy relative to Amirali Molaei Iran Amirali Molaei's profile →
Citations per field
00.5×1.5×2.4×
Amirali Molaei · 1×
Citations per year

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-authors

The 17 scholars most cited alongside Rijo Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rijo Roy Line = papers co-authored together Rijo Roy links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Advances in medical image analysis with vision Transformers: A comprehensive review
Hit paper breakdown →
2023244
2 202418
3 202411
4 20239
5 20235
6 20243
7 20230

About Rijo Roy

Rijo Roy is a scholar working on Artificial Intelligence, Biophysics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Media Technology, having authored 7 papers that have together received 290 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Cell Image Analysis Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Image Processing Techniques and Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper), Gene expression and cancer classification (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (16 citations), Neurology (46 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Computer Vision and Pattern Recognition (94 citations) and Biophysics (19 citations). Rijo Roy has collaborated with scholars based in Germany and Iran. Frequent co-authors include Abin Jose, Reza Azad, Amirhossein Kazerouni, Dorit Merhof, Moein Heidari, Ehsan Khodapanah Aghdam, Amirali Molaei, Johannes Stegmaier, Dennis Eschweiler and Moritz Palmowski. Their work appears in journals such as Medical Image Analysis, Radiology, PLoS Computational Biology, PLoS ONE and Informatik aktuell.

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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