Byron Freelon

82 total papers · 1.1k total citations
37 papers, 762 citations indexed

About

Byron Freelon is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Byron Freelon has authored 37 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electronic, Optical and Magnetic Materials, 14 papers in Condensed Matter Physics and 12 papers in Materials Chemistry. Recurrent topics in Byron Freelon's work include Iron-based superconductors research (14 papers), Rare-earth and actinide compounds (8 papers) and Magnetic and transport properties of perovskites and related materials (8 papers). Byron Freelon is often cited by papers focused on Iron-based superconductors research (14 papers), Rare-earth and actinide compounds (8 papers) and Magnetic and transport properties of perovskites and related materials (8 papers). Byron Freelon collaborates with scholars based in United States, Germany and Canada. Byron Freelon's co-authors include R. J. Birgeneau, C. R. Rotundu, Stephen D. Wilson, Edith Bourret-Courchesne, Z. Yamani, E.W. Hill, Eric Ganz, Eli Rotenberg, Aaron Bostwick and Timm Rohwer and has published in prestigious journals such as Physical Review Letters, Nano Letters and Physical review. B, Condensed matter.

In The Last Decade

Byron Freelon

34 papers receiving 753 citations

Author Peers

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

Author Last Decade Papers Cites
Byron Freelon 459 315 292 193 109 37 762
Philip Walmsley 540 1.2× 484 1.5× 195 0.7× 192 1.0× 66 0.6× 23 780
S. Ideta 465 1.0× 477 1.5× 220 0.8× 156 0.8× 123 1.1× 55 791
D. Colson 757 1.6× 371 1.2× 329 1.1× 134 0.7× 79 0.7× 29 906
Erik van Heumen 430 0.9× 408 1.3× 291 1.0× 199 1.0× 106 1.0× 26 745
Davide Innocenti 435 0.9× 557 1.8× 334 1.1× 230 1.2× 99 0.9× 24 836
H. F. Tian 787 1.7× 538 1.7× 355 1.2× 49 0.3× 96 0.9× 45 903
Dongjoon Song 425 0.9× 551 1.7× 135 0.5× 187 1.0× 33 0.3× 41 747
Carsten Putzke 325 0.7× 467 1.5× 179 0.6× 291 1.5× 43 0.4× 39 689
V. B. Nascimento 240 0.5× 182 0.6× 371 1.3× 161 0.8× 129 1.2× 32 620
E. Razzoli 406 0.9× 304 1.0× 330 1.1× 169 0.9× 145 1.3× 27 650

Countries citing papers authored by Byron Freelon

Since Specialization
Citations

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

Fields of papers citing papers by Byron Freelon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byron Freelon

This figure shows the co-authorship network connecting the top 25 collaborators of Byron Freelon. A scholar is included among the top collaborators of Byron Freelon 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 Byron Freelon. Byron Freelon 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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