David Jackson

93 papers receiving 3.2k citations

Peers

David Jackson
Comparison fields: 5 of 108
  • Computer Networks and Communications 397
  • Toxicology 62
  • Cancer Research 177
  • Oncology 199
  • Molecular Biology 454
Replace Brian D. Athey with:
Brian D. Athey United States
Amir Ben‐Dor United States
Javier Garcı́a-Garcı́a Spain
Aris Floratos United States
Won Suk Lee South Korea
Samuel L. Volchenboum United States
Sungyoung Lee South Korea
Wendell D. Jones United States
Charles Chen United States
Kristin Reiche Germany
David Jackson relative to Brian D. Athey United States Brian D. Athey's profile →
Citations per field
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Brian D. Athey · 1×
Citations per year

Countries citing papers authored by David Jackson

Since Specialization
Citations

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

Fields of papers citing papers by David Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Jackson, 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 David Jackson Line = papers co-authored together David Jackson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004897
2 2001279
3 2011244
4 2013188
5 2003152
6
The portable batch scheduler and the maui scheduler on linux clusters
2000129
7 200093
8 201093
9 201582
10 200870
11 199768
12 199465
13 201057
14 200950
15 200348
16 200545
17 200240
18 201838
19 200737
20 201836

About David Jackson

David Jackson is a scholar working on Toxicology, Pharmacology, Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, having authored 95 papers that have together received 3.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (12 papers), Distributed and Parallel Computing Systems (8 papers), Pharmacovigilance and Adverse Drug Reactions (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Influenza Virus Research Studies (4 papers), Teaching and Learning Programming (4 papers), Fibroblast Growth Factor Research (3 papers) and Drug-Induced Adverse Reactions (2 papers). The work is most often cited by research in Computer Networks and Communications (397 citations), Toxicology (62 citations), Cancer Research (177 citations), Oncology (199 citations) and Molecular Biology (454 citations). David Jackson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Quinn O. Snell, Mark Clement, Theodoros G. Soldatos, Richard E. Randall, David M. Halstead, Brett Bode, Ricky A. Kendall, Georg Casari, Rupert J. M. Russell and Marian J. Killip. Their work appears in journals such as Drug Discovery Today, Journal of Antimicrobial Chemotherapy, Clinical and Translational Science, Journal of the American Academy of Dermatology and Cancers.

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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