Deana Pennington

97 total papers · 1.5k total citations
46 papers, 921 citations indexed

About

Deana Pennington is a scholar working on Information Systems and Management, Artificial Intelligence and Information Systems. According to data from OpenAlex, Deana Pennington has authored 46 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems and Management, 11 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Deana Pennington's work include Scientific Computing and Data Management (16 papers), Interdisciplinary Research and Collaboration (10 papers) and Research Data Management Practices (8 papers). Deana Pennington is often cited by papers focused on Scientific Computing and Data Management (16 papers), Interdisciplinary Research and Collaboration (10 papers) and Research Data Management Practices (8 papers). Deana Pennington collaborates with scholars based in United States, Australia and Switzerland. Deana Pennington's co-authors include Scott L. Collins, Mark Schildhauer, Shawn Bowers, Joshua S. Madin, Ferdinando Villa, William K. Michener, Jeanne M. Fair, Evan Weiher, Elsa E. Cleland and Gary L. Simpson and has published in prestigious journals such as Ecology, BioScience and Sustainability.

In The Last Decade

Deana Pennington

43 papers receiving 864 citations

Author Peers

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

Author						Papers	Cites
Deana Pennington	277	185	160	149	140	46	921
Duncan Temple Lang	139 0.5×	137 0.7×	115 0.7×	197 1.3×	268 1.9×	38	1.1k
Timothy D. Bowman	134 0.5×	70 0.4×	268 1.7×	173 1.2×	142 1.0×	64	1.2k
Carly Strasser	284 1.0×	238 1.3×	342 2.1×	329 2.2×	65 0.5×	37	1.2k
John L. Schnase	102 0.4×	119 0.6×	248 1.6×	269 1.8×	166 1.2×	56	1.1k
Pasquale Pagano	248 0.9×	177 1.0×	275 1.7×	124 0.8×	171 1.2×	73	905
Scott Weingart	99 0.4×	44 0.2×	139 0.9×	67 0.4×	119 0.8×	26	812
Emily K. Read	136 0.5×	329 1.8×	54 0.3×	298 2.0×	46 0.3×	20	1.2k
Archer L. Batcheller	230 0.8×	127 0.7×	330 2.1×	219 1.5×	87 0.6×	9	1.1k
Kara Woo	247 0.9×	58 0.3×	252 1.6×	186 1.2×	77 0.6×	16	998
Ann Zimmerman	370 1.3×	87 0.5×	436 2.7×	66 0.4×	81 0.6×	28	932

Countries citing papers authored by Deana Pennington

Since Specialization

Citations

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

Fields of papers citing papers by Deana Pennington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deana Pennington

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