Daniel P. DiLella

19 total papers · 577 total citations
9 papers, 497 citations indexed

About

Daniel P. DiLella is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Physical and Theoretical Chemistry. According to data from OpenAlex, Daniel P. DiLella has authored 9 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 4 papers in Spectroscopy and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in Daniel P. DiLella's work include Advanced Chemical Physics Studies (5 papers), Molecular Spectroscopy and Structure (4 papers) and nanoparticles nucleation surface interactions (2 papers). Daniel P. DiLella is often cited by papers focused on Advanced Chemical Physics Studies (5 papers), Molecular Spectroscopy and Structure (4 papers) and nanoparticles nucleation surface interactions (2 papers). Daniel P. DiLella collaborates with scholars based in United States and Canada. Daniel P. DiLella's co-authors include Martin Moskovits, Howard D. Stidham, Ricardo Aroca, Rafik O. Loutfy, Richard J. Colton, Susan L. Brandow and R. Shashidhar and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry and Journal of Physics and Chemistry of Solids.

In The Last Decade

Daniel P. DiLella

9 papers receiving 468 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 P. DiLella 298 184 152 126 82 9 497
Doo Wan Boo 233 0.8× 91 0.5× 135 0.9× 158 1.3× 57 0.7× 21 472
Jeroen A. Groeneveld 285 1.0× 106 0.6× 234 1.5× 77 0.6× 137 1.7× 7 616
Samuel C. Wait 187 0.6× 95 0.5× 146 1.0× 126 1.0× 124 1.5× 24 564
Jonathan M. Mullin 334 1.1× 59 0.3× 148 1.0× 111 0.9× 73 0.9× 12 541
David C. Patton 316 1.1× 86 0.5× 283 1.9× 83 0.7× 79 1.0× 7 562
G. Varsányi 149 0.5× 216 1.2× 69 0.5× 136 1.1× 200 2.4× 14 514
Carsten Kind 231 0.8× 135 0.7× 160 1.1× 108 0.9× 83 1.0× 4 494
Daniel Opalka 315 1.1× 104 0.6× 154 1.0× 71 0.6× 27 0.3× 20 528
Jingang Guan 351 1.2× 75 0.4× 147 1.0× 78 0.6× 85 1.0× 8 507
Lixin Zheng 265 0.9× 70 0.4× 202 1.3× 89 0.7× 77 0.9× 25 618

Countries citing papers authored by Daniel P. DiLella

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. DiLella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. DiLella

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