M. Biros

1.8k total citations
3 papers, 11 citations indexed

About

M. Biros is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, M. Biros has authored 3 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Oncology. Recurrent topics in M. Biros's work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). M. Biros is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). M. Biros collaborates with scholars based in Czechia and South Korea. M. Biros's co-authors include Mugahed A. Al–antari and Petra Ovesná and has published in prestigious journals such as SHILAP Revista de lepidopterología and Diagnostics.

In The Last Decade

M. Biros

3 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Biros Czechia	2	7	5	5	1	1	3	11
A Salamah Spain	2	5 0.7×	3 0.6×	5 1.0×	1 1.0×		2	9
Y. W. Chang Taiwan	3	6 0.9×	2 0.4×	5 1.0×			5	13
Martine Lebrasseur Canada	2	3 0.4×	2 0.4×	6 1.2×	1 1.0×		2	10
Gurbandurdy Dovletov Germany	4	14 2.0×	2 0.4×	10 2.0×		2 2.0×	5	18
Malarkodi Jebathilagam Samayamuthu United States	2	2 0.3×	2 0.4×	3 0.6×		1 1.0×	3	9
Duc Duy Pham Germany	3	7 1.0×	1 0.2×	5 1.0×			4	13
Deepthi Karkada United States	2	5 0.7×		3 0.6×		1 1.0×	5	7
Peter-Paul M. Willemse Netherlands	1	2 0.3×	2 0.4×	2 0.4×			2	2
Siddhant Shingi United States	1	3 0.4×		5 1.0×		1 1.0×	2	5
Denise Messerer Germany	3	5 0.7×	4 0.8×		4 4.0×		5	14

Countries citing papers authored by M. Biros

Since Specialization

Citations

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

Fields of papers citing papers by M. Biros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Biros

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

All Works

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3 of 3 papers shown

1.

Biros, M., et al.. (2024). Enhancing Accuracy in Breast Density Assessment Using Deep Learning: A Multicentric, Multi-Reader Study. Diagnostics. 14(11). 1117–1117. 1 indexed citations

2.

Biros, M., et al.. (2023). Chest X-ray Abnormality Detection by Using Artificial Intelligence: A Single-Site Retrospective Study of Deep Learning Model Performance. SHILAP Revista de lepidopterología. 3(1). 82–101. 6 indexed citations

3.

Biros, M., et al.. (2023). Leveraging Deep Learning Decision-Support System in Specialized Oncology Center: A Multi-Reader Retrospective Study on Detection of Pulmonary Lesions in Chest X-ray Images. Diagnostics. 13(6). 1043–1043. 4 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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