Philip Kegler

159 total papers · 1.4k total citations
60 papers, 1.2k citations indexed

About

Philip Kegler is a scholar working on Materials Chemistry, Inorganic Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Philip Kegler has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Materials Chemistry, 39 papers in Inorganic Chemistry and 18 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Philip Kegler's work include Radioactive element chemistry and processing (37 papers), Nuclear materials and radiation effects (24 papers) and Nuclear Materials and Properties (24 papers). Philip Kegler is often cited by papers focused on Radioactive element chemistry and processing (37 papers), Nuclear materials and radiation effects (24 papers) and Nuclear Materials and Properties (24 papers). Philip Kegler collaborates with scholars based in Germany, United States and China. Philip Kegler's co-authors include Astrid Holzheid, Dirk Bosbach, H. Palme, Evgeny V. Alekseev, D. J. Frost, D. C. Rubie, Ute Mann, K. Tsuno, Yuki Asahara and F. Nimmo and has published in prestigious journals such as Nature Communications, Acta Materialia and Chemical Communications.

In The Last Decade

Philip Kegler

57 papers receiving 1.1k citations

Hit Papers

Heterogeneous accretion, ... 2010 2026 2015 2020 2010 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Philip Kegler 578 442 411 234 173 60 1.2k
R. C. Peterson 588 1.0× 183 0.4× 286 0.7× 152 0.6× 301 1.7× 71 1.4k
Clifford Frondel 425 0.7× 235 0.5× 487 1.2× 93 0.4× 225 1.3× 76 1.3k
Anna Pakhomova 574 1.0× 210 0.5× 444 1.1× 72 0.3× 242 1.4× 88 1.0k
Jochen Schlüter 579 1.0× 106 0.2× 468 1.1× 188 0.8× 236 1.4× 73 1.3k
Daniel E. Appleman 481 0.8× 315 0.7× 444 1.1× 70 0.3× 347 2.0× 45 1.2k
Vittorio Tazzoli 525 0.9× 229 0.5× 614 1.5× 151 0.6× 322 1.9× 55 1.3k
Kazuki Komatsu 605 1.0× 217 0.5× 725 1.8× 48 0.2× 165 1.0× 114 1.5k
S. Ghose 589 1.0× 161 0.4× 300 0.7× 128 0.5× 294 1.7× 62 1.2k
K. T. Tait 329 0.6× 109 0.2× 547 1.3× 553 2.4× 178 1.0× 92 1.3k
S. M. Tomlinson 486 0.8× 184 0.4× 183 0.4× 184 0.8× 141 0.8× 20 1.2k

Countries citing papers authored by Philip Kegler

Since Specialization
Citations

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

Fields of papers citing papers by Philip Kegler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Kegler

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