Peyton H. Bland

59 total papers · 5.3k total citations
39 papers, 1.8k citations indexed

About

Peyton H. Bland is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Peyton H. Bland has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Biomedical Engineering. Recurrent topics in Peyton H. Bland's work include Medical Image Segmentation Techniques (12 papers), Advanced MRI Techniques and Applications (9 papers) and Medical Imaging Techniques and Applications (8 papers). Peyton H. Bland is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Advanced MRI Techniques and Applications (9 papers) and Medical Imaging Techniques and Applications (8 papers). Peyton H. Bland collaborates with scholars based in United States, Canada and South Korea. Peyton H. Bland's co-authors include Charles R. Meyer, Hyunjin Park, Jennifer L. Boes, Boklye Kim, Thomas L. Chenevert, James G. Pipe, Kirk A. Frey, Kenneth Zasadny, Paul V. Kison and Richard L. Wahl and has published in prestigious journals such as NeuroImage, Radiology and The Journal of the Acoustical Society of America.

In The Last Decade

Peyton H. Bland

38 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Peyton H. Bland 1.1k 666 339 219 159 39 1.8k
Dirk Loeckx 579 0.5× 491 0.7× 288 0.8× 218 1.0× 146 0.9× 67 1.4k
Tobias Heimann 548 0.5× 988 1.5× 556 1.6× 166 0.8× 279 1.8× 44 1.9k
Olivier Commowick 785 0.7× 697 1.0× 294 0.9× 121 0.6× 168 1.1× 73 1.7k
R. Kikinis 736 0.7× 734 1.1× 660 1.9× 230 1.1× 133 0.8× 46 2.1k
A. Nabavi 843 0.8× 467 0.7× 230 0.7× 151 0.7× 39 0.2× 28 1.4k
Vikram Chalana 581 0.5× 673 1.0× 252 0.7× 188 0.9× 182 1.1× 27 1.4k
Mark P. Holden 902 0.8× 1.2k 1.8× 427 1.3× 113 0.5× 164 1.0× 22 2.1k
Jennifer L. Boes 568 0.5× 364 0.5× 199 0.6× 585 2.7× 71 0.4× 24 1.5k
Daniel J. Blezek 1.0k 1.0× 338 0.5× 533 1.6× 258 1.2× 122 0.8× 50 1.7k
Aymeric Perchant 860 0.8× 1.1k 1.7× 523 1.5× 144 0.7× 178 1.1× 22 2.1k

Countries citing papers authored by Peyton H. Bland

Since Specialization
Citations

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

Fields of papers citing papers by Peyton H. Bland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peyton H. Bland. 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 Peyton H. Bland. The network helps show where Peyton H. Bland may publish in the future.

Co-authorship network of co-authors of Peyton H. Bland

This figure shows the co-authorship network connecting the top 25 collaborators of Peyton H. Bland. A scholar is included among the top collaborators of Peyton H. Bland 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 Peyton H. Bland. Peyton H. Bland 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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