Daniel J. Higley

34 total papers · 946 total citations
7 papers, 238 citations indexed

About

Daniel J. Higley is a scholar working on Atomic and Molecular Physics, and Optics, Instrumentation and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel J. Higley has authored 7 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Atomic and Molecular Physics, and Optics, 2 papers in Instrumentation and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel J. Higley's work include Magnetic properties of thin films (2 papers), Advanced Optical Sensing Technologies (2 papers) and Transition Metal Oxide Nanomaterials (1 paper). Daniel J. Higley is often cited by papers focused on Magnetic properties of thin films (2 papers), Advanced Optical Sensing Technologies (2 papers) and Transition Metal Oxide Nanomaterials (1 paper). Daniel J. Higley collaborates with scholars based in United States, Netherlands and Germany. Daniel J. Higley's co-authors include David G. Winters, Randy A. Bartels, H. A. Dürr, Alexander H. Reid, Patrick W. Granitzka, J. Stöhr, Th. Rasing, Gregory L. Futia, Catherine E. Graves and Andreas Scherz and has published in prestigious journals such as Physical Review Letters, Nano Letters and Applied Physics Letters.

In The Last Decade

Daniel J. Higley

7 papers receiving 225 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Higley 125 107 88 58 57 7 238
Faran Zhou 89 0.7× 66 0.6× 69 0.8× 44 0.8× 14 0.2× 10 218
T. Chase 106 0.8× 76 0.7× 78 0.9× 63 1.1× 18 0.3× 8 250
Manfred Mascheck 145 1.2× 104 1.0× 67 0.8× 6 0.1× 98 1.7× 12 310
Mason Jiang 69 0.6× 111 1.0× 83 0.9× 91 1.6× 36 0.6× 8 297
Arjun Ashoka 102 0.8× 167 1.6× 16 0.2× 36 0.6× 31 0.5× 10 263
Francesco L. Ruta 153 1.2× 88 0.8× 81 0.9× 29 0.5× 141 2.5× 13 329
Patrick Cheung 139 1.1× 136 1.3× 66 0.8× 10 0.2× 60 1.1× 5 322
Stefan Rost 124 1.0× 103 1.0× 20 0.2× 6 0.1× 73 1.3× 6 330
Sebastian Emmerich 190 1.5× 83 0.8× 48 0.5× 9 0.2× 13 0.2× 10 272
Azzurra Bigioli 114 0.9× 196 1.8× 39 0.4× 15 0.3× 86 1.5× 11 271

Countries citing papers authored by Daniel J. Higley

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Higley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Higley. 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 Daniel J. Higley. The network helps show where Daniel J. Higley may publish in the future.

Co-authorship network of co-authors of Daniel J. Higley

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Higley. A scholar is included among the top collaborators of Daniel J. Higley 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 Daniel J. Higley. Daniel J. Higley 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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