R Reed

2.5k citations
76 papers · 1.9k · h-index 19

Impact in

Papers in

R Reed

66 papers receiving 1.7k citations

Peers

R Reed
Comparison fields: 5 of 198
  • Hardware and Architecture 192
  • Artificial Intelligence 649
  • Information Systems 375
  • Computer Networks and Communications 360
  • Computational Theory and Mathematics 181
Replace Rafael García with:
Rafael García Spain
Thomas Kluyver United Kingdom
Benjamin Ragan-Kelley United States
Matthias Bussonnier France
Carol Willing United States
David A. Steele Australia
Vera Rich Germany
Glen W. Davidson United States
Jason Grout United States
Ray D. Nelson United States
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Citations per field
00.5×10×17.0×
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Citations per year

Countries citing papers authored by R Reed

Since Specialization
Citations

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

Fields of papers citing papers by R Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electron Microprobe Analysis and Scanning Electron Microscopy in Geology
2005295
2 1985253
3
Mtdna Sequences Suggest a Recent Evolutionary Divergence for Beringian and Northern North American Populations
1993174
4 1985160
5 1984150
6 1987106
7
World Security: Challenges for a New Century
199481
8 198781
9 199950
10 197846
11 198342
12 199935
13 199831
14 197728
15
Constrictive pericardial disease in the dog.
198428
16 198426
17
199722
18 199921
19
Global Peatland Restoration demonstrating success
201421
20
Single-dose plasma and cerebrospinal fluid pharmacokinetics of ceftriaxone in infants and children.
198417

About R Reed

R Reed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Molecular Biology, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Coding theory and cryptography (8 papers), Numerical Methods and Algorithms (6 papers), Digital Filter Design and Implementation (5 papers), Cryptography and Residue Arithmetic (4 papers), Point processes and geometric inequalities (3 papers), Parallel Computing and Optimization Techniques (3 papers), Psychiatric care and mental health services (3 papers) and Advanced Wireless Communication Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (192 citations), Artificial Intelligence (649 citations), Information Systems (375 citations), Computer Networks and Communications (360 citations) and Computational Theory and Mathematics (181 citations). R Reed has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Truong, Yeh, C. V. Howard, Michael T. Klare, Gilbert, Phil Woods, Leon G. Epstein, Harris A. Gelbard, Ke Wang and Mick Collins. Their work appears in journals such as IEEE Transactions on Computers, Journal of Microscopy, Journal of Biblical Literature, The American Naturalist and Neuropathology and Applied Neurobiology.

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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