Gregory Davis

43 papers receiving 1.5k citations

Gregory Davis's Hit Papers

NetCDF: an interface for scientific data access 1990 · 581 citations
5810+12+24Years since publication100200300400500

Peers

Gregory Davis
Comparison fields: 5 of 168
  • Information Systems and Management 134
  • Genetics 113
  • Plant Science 399
  • Biomaterials 114
  • Computer Networks and Communications 193
Replace Yongchao Liu with:
Yongchao Liu China
Michael Gibson United States
Jaap A. Kaandorp Netherlands
Guoqing Li China
Jian Guo Tao United States
Roeland M. H. Merks Netherlands
Hongfeng Yu United States
Peter Bajcsy United States
Nicolas Ferry France
Qian Zhu China
Gregory Davis relative to Yongchao Liu China Yongchao Liu's profile →
Citations per field
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Yongchao Liu · 1×
Citations per year

Countries citing papers authored by Gregory Davis

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregory Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory Davis Line = papers co-authored together Gregory Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NetCDF: an interface for scientific data access
Hit paper breakdown →
1990581
2 2015255
3 1999217
4 201575
5 200772
6 201144
7 200642
8 200639
9 200235
10 200330
11 202228
12 199820
13 201018
14 200217
15 200416
16 201115
17 200311
18 20019
19 20028
20 20227

About Gregory Davis

Gregory Davis is a scholar working on General Agricultural and Biological Sciences, Astronomy and Astrophysics, Biomaterials, Pharmacy and Plant Science, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Diverse Educational Innovations Studies (3 papers), Genomics and Phylogenetic Studies (2 papers), Nuclear Physics and Applications (2 papers), Service-Learning and Community Engagement (2 papers), solar cell performance optimization (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Information Systems and Management (134 citations), Genetics (113 citations), Plant Science (399 citations), Biomaterials (114 citations) and Computer Networks and Communications (193 citations). Gregory Davis has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include R. K. Rew, Jonathan H. Sherman, Aria M. Jamshidi, Theresa A. Musket, E. H. Coe, Peter M. Ravdin, Mary L. Polacco, Michael D. McMullen, Katherine E. Houchins and Chris Baysdorfer. Their work appears in journals such as Stereotactic and Functional Neurosurgery, American Journal of Forensic Medicine & Pathology, Bioinformatics, Crop Science and Journal of Biomedical Materials Research Part A.

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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