David Chappell

33 total papers · 484 total citations
19 papers, 313 citations indexed

About

David Chappell is a scholar working on Astronomy and Astrophysics, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, David Chappell has authored 19 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 2 papers in Computer Networks and Communications and 2 papers in Management Information Systems. Recurrent topics in David Chappell's work include Stellar, planetary, and galactic studies (5 papers), Astrophysics and Star Formation Studies (5 papers) and Galaxies: Formation, Evolution, Phenomena (3 papers). David Chappell is often cited by papers focused on Stellar, planetary, and galactic studies (5 papers), Astrophysics and Star Formation Studies (5 papers) and Galaxies: Formation, Evolution, Phenomena (3 papers). David Chappell collaborates with scholars based in United States, Mexico and France. David Chappell's co-authors include John Scalo, Enrique Vázquez-Semadeni, T. Passot, J. M. Scalo, T. Gregory Dewey, Don Box, Mark Little, A. Howell, Anna Liu and David C. Chou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

David Chappell

17 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
David Chappell	198	40	38	37	20	19	313
G. Quast	200 1.0×	54 1.4×	15 0.4×	19 0.5×	29 1.4×	41	342
David Brown	124 0.6×	114 2.9×	46 1.2×	33 0.9×	30 1.5×	18	311
Jacob T. VanderPlas	59 0.3×	45 1.1×	45 1.2×	33 0.9×	4 0.2×	12	239
M. S. Richard	242 1.2×	40 1.0×	41 1.1×	24 0.6×	19 0.9×	12	322
Yapeng Zhang	146 0.7×	13 0.3×	7 0.2×	60 1.6×	13 0.7×	21	316
Aniruddha R. Thakar	277 1.4×	33 0.8×	17 0.4×	15 0.4×	3 0.1×	12	346
Hyun Chul Lee	141 0.7×	38 0.9×	96 2.5×	57 1.5×	2 0.1×	32	355
W. Gässler	168 0.8×	18 0.5×	101 2.7×	96 2.6×	5 0.3×	40	350
Pritish Jetley	120 0.6×	117 2.9×	32 0.8×	22 0.6×	2 0.1×	10	283
Erik S. Steinmetz	150 0.8×	10 0.3×	10 0.3×	46 1.2×	8 0.4×	27	285

Countries citing papers authored by David Chappell

Since Specialization

Citations

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

Fields of papers citing papers by David Chappell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chappell

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