Rafael Iriya

16 total papers · 703 total citations
12 papers, 536 citations indexed

About

Rafael Iriya is a scholar working on Clinical Biochemistry, Media Technology and Biomedical Engineering. According to data from OpenAlex, Rafael Iriya has authored 12 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Biochemistry, 4 papers in Media Technology and 4 papers in Biomedical Engineering. Recurrent topics in Rafael Iriya's work include Bacterial Identification and Susceptibility Testing (8 papers), Image Processing Techniques and Applications (4 papers) and Biosensors and Analytical Detection (3 papers). Rafael Iriya is often cited by papers focused on Bacterial Identification and Susceptibility Testing (8 papers), Image Processing Techniques and Applications (4 papers) and Biosensors and Analytical Detection (3 papers). Rafael Iriya collaborates with scholars based in United States, China and Brazil. Rafael Iriya's co-authors include Nongjian Tao, Hui Yu, Shelley E. Haydel, Shaopeng Wang, Karan Syal, Manni Mo, Wenwen Jing, Thomas E. Grys, Yunze Yang and Chenbin Liu and has published in prestigious journals such as ACS Nano, Analytical Chemistry and Small.

In The Last Decade

Rafael Iriya

12 papers receiving 520 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rafael Iriya 324 191 93 74 67 12 536
Maxim Kalashnikov 373 1.2× 82 0.4× 65 0.7× 28 0.4× 5 0.1× 16 508
Marie‐Louise Boumans 335 1.0× 42 0.2× 127 1.4× 27 0.4× 18 0.3× 14 606
Harald Peter 89 0.3× 148 0.8× 121 1.3× 94 1.3× 2 0.0× 13 451
Amornrat Aroonnual 236 0.7× 125 0.7× 188 2.0× 13 0.2× 4 0.1× 23 602
Benaı̈ssa El Moualij 109 0.3× 133 0.7× 260 2.8× 10 0.1× 13 0.2× 22 569
Miguel A. Alcantar 75 0.2× 22 0.1× 346 3.7× 81 1.1× 11 0.2× 9 511
Yi Lu 366 1.1× 131 0.7× 102 1.1× 35 0.5× 5 0.1× 18 545
Olivier Dubuis 33 0.1× 89 0.5× 114 1.2× 98 1.3× 11 0.2× 14 484
Yaping Fang 39 0.1× 20 0.1× 140 1.5× 90 1.2× 31 0.5× 19 591
Christopher J. Huber 61 0.2× 11 0.1× 116 1.2× 22 0.3× 32 0.5× 18 573

Countries citing papers authored by Rafael Iriya

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Iriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Iriya

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

All Works

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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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