David S. Reiner

4.8k total citations
71 papers, 3.0k citations indexed

About

David S. Reiner is a scholar working on Parasitology, Infectious Diseases and Computer Networks and Communications. According to data from OpenAlex, David S. Reiner has authored 71 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Parasitology, 26 papers in Infectious Diseases and 14 papers in Computer Networks and Communications. Recurrent topics in David S. Reiner's work include Parasitic Infections and Diagnostics (45 papers), Amoebic Infections and Treatments (26 papers) and Advanced Database Systems and Queries (13 papers). David S. Reiner is often cited by papers focused on Parasitic Infections and Diagnostics (45 papers), Amoebic Infections and Treatments (26 papers) and Advanced Database Systems and Queries (13 papers). David S. Reiner collaborates with scholars based in United States, Sweden and Switzerland. David S. Reiner's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

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
  • Molecular Biology 503
  • Epidemiology 307
  • Pathology and Forensic Medicine 298
Replace Michel Simonet with:
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Michel Simonet France View profile →
Citations per field, relative to David S. Reiner
David S. Reiner · 1×
Citations per year, relative to David S. Reiner
David S. Reiner · 1×

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 of co-authors of David S. Reiner

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Reiner. A scholar is included among the top collaborators of David S. Reiner 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 S. Reiner. David S. Reiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 42
2 15
3 205
4 34
5 131
6 66
7 137
8 29
9 38
10 23
11 12
12 46
13 1
14 18
15 114
16
A Database Designer's Workbench.
17
17
Extending the Algebraic Framework of Query Processing to Handle Outerjoins
31
18
The Database Design and Evaluation Workbench (DDEW) Project at CCA.
22
19
Strategy Spaces And Abstract Target Machines For Query Optimization.
2
20
In vitro activity of certain quassinoid anti-tumor agents against Entamoeba histolytica.
2

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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