Laura Biedermann

84 total papers · 1.1k total citations
28 papers, 856 citations indexed

About

Laura Biedermann is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Laura Biedermann has authored 28 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Laura Biedermann's work include Graphene research and applications (6 papers), GaN-based semiconductor devices and materials (6 papers) and Semiconductor materials and devices (6 papers). Laura Biedermann is often cited by papers focused on Graphene research and applications (6 papers), GaN-based semiconductor devices and materials (6 papers) and Semiconductor materials and devices (6 papers). Laura Biedermann collaborates with scholars based in United States. Laura Biedermann's co-authors include Tami C. Bond, Michael A. Capano, M. L. Bolen, R. Reifenberger, Dmitry Zemlyanov, S. E. Harrison, Ryan C. Tung, Arvind Raman, Mary H. Crawford and Kevin R. Zavadil and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

Laura Biedermann

24 papers receiving 841 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Biedermann 456 269 236 145 138 28 856
T. Hecht 310 0.7× 172 0.6× 465 2.0× 57 0.4× 99 0.7× 41 1.0k
Conner Daube 408 0.9× 253 0.9× 398 1.7× 260 1.8× 110 0.8× 30 944
S. di Stasio 322 0.7× 330 1.2× 194 0.8× 66 0.5× 52 0.4× 40 918
Manish Sharma 247 0.5× 141 0.5× 288 1.2× 124 0.9× 49 0.4× 42 782
Alexander Martin 312 0.7× 411 1.5× 147 0.6× 143 1.0× 271 2.0× 51 861
Georgios A. Kelesidis 388 0.9× 382 1.4× 80 0.3× 138 1.0× 116 0.8× 38 985
Mauricio Zurita–Gotor 310 0.7× 179 0.7× 70 0.3× 69 0.5× 47 0.3× 36 919
Lixia Liu 277 0.6× 74 0.3× 155 0.7× 32 0.2× 32 0.2× 60 955
R. Ramakrishna Reddy 447 1.0× 473 1.8× 186 0.8× 420 2.9× 190 1.4× 32 1.1k
Fabrizio Orlando 638 1.4× 160 0.6× 224 0.9× 41 0.3× 12 0.1× 22 875

Countries citing papers authored by Laura Biedermann

Since Specialization
Citations

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

Fields of papers citing papers by Laura Biedermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Biedermann

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