David S. Reiner

4.8k citations
71 papers · 3.0k indexed · h-index 33

David S. Reiner

70 papers receiving 2.9k citations

Peers

David S. Reiner
Comparison fields: 5 of 128
  • Parasitology 2.2k
  • Infectious Diseases 1.2k
  • Endocrinology 183
  • Pathology and Forensic Medicine 298
  • Nutrition and Dietetics 211
Replace Michel Simonet with:
Michel Simonet France
Dinesh Gupta India
Gerard J. Nau United States
Alan J. A. McBride Brazil
Cláudia Martins Carneiro Brazil
Xuchu Hu China
R. Andrés Floto United Kingdom
Stephen A. Moser United States
Owen White United States
Suganya Viriyakosol United States
David S. Reiner relative to Michel Simonet France Michel Simonet's profile →
Citations per field
00.5×10×15×18.6×
Michel Simonet · 1×
Citations per year

Countries citing papers authored by David S. Reiner

Since Specialization
Citations

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

Fields of papers citing papers by David S. Reiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201142
2 201015
3 2009205
4 200834
5 2008131
6 200666
7 2005137
8 200329
9 200138
10 199923
11 199312
12 199146
13 19911
14 199118
15 1989114
16
A Database Designer's Workbench.
198617
17
Extending the Algebraic Framework of Query Processing to Handle Outerjoins
198431
18
The Database Design and Evaluation Workbench (DDEW) Project at CCA.
198422
19
Strategy Spaces And Abstract Target Machines For Query Optimization.
19822
20
In vitro activity of certain quassinoid anti-tumor agents against Entamoeba histolytica.
19822

About David S. Reiner

David S. Reiner is a scholar working on Parasitology, Infectious Diseases and Endocrinology, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (45 papers), Amoebic Infections and Treatments (26 papers), Advanced Database Systems and Queries (13 papers), Distributed systems and fault tolerance (7 papers), Data Management and Algorithms (7 papers), Legionella and Acanthamoeba research (6 papers), Parasitic infections in humans and animals (6 papers) and Toxoplasma gondii Research Studies (3 papers). The work is most often cited by research in Parasitology (2.2k citations), Infectious Diseases (1.2k citations) and Endocrinology (183 citations). David S. Reiner has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Frances D. Gillin, J. Michael McCaffery, Staffan G. Svärd, Michael McCaffery, Daniel Palm, Arnon Rosenthal, Barbara J. Davids, Shayne Boucher, Herndon Douglas and Emma Ringqvist. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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