Matthew B. Blaschko

250 total papers · 7.9k total citations
81 papers, 3.4k citations indexed

About

Matthew B. Blaschko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew B. Blaschko has authored 81 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew B. Blaschko's work include Advanced Image and Video Retrieval Techniques (14 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Face and Expression Recognition (11 papers). Matthew B. Blaschko is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Face and Expression Recognition (11 papers). Matthew B. Blaschko collaborates with scholars based in Belgium, Germany and France. Matthew B. Blaschko's co-authors include Christoph H. Lampert, Thomas Hofmann, Maxim Berman, José Ignacio Orlando, Amal Rannen Triki, Elena Prokofyeva, Juho Kannala, Esa Rahtu, Raf Bisschops and Tom Eelbode and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Matthew B. Blaschko

75 papers receiving 3.3k citations

Hit Papers

The Lovasz-Softmax Loss: ... 2008 2026 2014 2020 2018 2008 2016 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Matthew B. Blaschko 2.2k 936 704 589 312 81 3.4k
Joni‐Kristian Kämäräinen 1.5k 0.7× 733 0.8× 579 0.8× 520 0.9× 201 0.6× 113 3.0k
Xin Yang 1.9k 0.9× 1.1k 1.1× 773 1.1× 438 0.7× 508 1.6× 152 3.4k
Heikki Kälviäinen 1.5k 0.7× 723 0.8× 332 0.5× 525 0.9× 182 0.6× 110 2.6k
Mai Xu 3.4k 1.5× 679 0.7× 503 0.7× 280 0.5× 208 0.7× 212 5.5k
Manoranjan Paul 1.8k 0.8× 864 0.9× 438 0.6× 378 0.6× 67 0.2× 213 3.0k
Majid Mirmehdi 2.9k 1.3× 509 0.5× 519 0.7× 208 0.4× 233 0.7× 175 4.2k
Marco Loog 1.8k 0.8× 1.5k 1.6× 1.4k 2.0× 484 0.8× 72 0.2× 142 4.2k
Elisa Ricci 3.2k 1.4× 758 0.8× 1.5k 2.1× 501 0.9× 396 1.3× 165 5.0k
Sim Heng Ong 1.9k 0.8× 667 0.7× 550 0.8× 171 0.3× 479 1.5× 174 3.8k
Xinge You 2.6k 1.2× 557 0.6× 928 1.3× 255 0.4× 662 2.1× 148 4.2k

Countries citing papers authored by Matthew B. Blaschko

Since Specialization
Citations

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

Fields of papers citing papers by Matthew B. Blaschko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew B. Blaschko. 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 Matthew B. Blaschko. The network helps show where Matthew B. Blaschko may publish in the future.

Co-authorship network of co-authors of Matthew B. Blaschko

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew B. Blaschko. A scholar is included among the top collaborators of Matthew B. Blaschko 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 Matthew B. Blaschko. Matthew B. Blaschko 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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