C.M. Maynard

1.0k citations
25 papers · 479 indexed · h-index 10

Impact in

Papers in

C.M. Maynard

25 papers receiving 467 citations

Peers

C.M. Maynard
Comparison fields: 5 of 52
  • Nuclear and High Energy Physics 392
  • Information Systems and Management 15
  • Condensed Matter Physics 22
  • Biotechnology 14
  • Computer Networks and Communications 30
Replace M. Mazzucato with:
M. Mazzucato Switzerland
P. A. Boyle United Kingdom
C. Cristian United States
Gennaro Corcella Italy
Priscila de Aquino Belgium
Kevin Bauer Germany
N. Boelaert Canada
Björn Leder Germany
G. Quast Germany
R. Cavanaugh Switzerland
C.M. Maynard relative to M. Mazzucato Switzerland M. Mazzucato's profile →
Citations per field
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M. Mazzucato · 1×
Citations per year

Countries citing papers authored by C.M. Maynard

Since Specialization
Citations

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

Fields of papers citing papers by C.M. Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.M. Maynard. 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 C.M. Maynard. The network helps show where C.M. Maynard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200294
2 200374
3 200055
4 201147
5 200846
6 200237
7 198122
8 200220
9 200216
10 201014
11 20208
12 20056
13 20046
14 20056
15 20056
16
LFRic: Building a new Unified Model
20174
17 20014
18
Comparing UPC and one-sided MPI: A distributed hash table for GAP
20113
19
Towards Performance Portability with GungHo
20142
20 20152

About C.M. Maynard

C.M. Maynard is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management, Hardware and Architecture and Condensed Matter Physics, having authored 25 papers that have together received 479 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (12 papers), High-Energy Particle Collisions Research (12 papers), Particle physics theoretical and experimental studies (11 papers), Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (4 papers), Advanced Data Storage Technologies (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (392 citations), Information Systems and Management (15 citations), Condensed Matter Physics (22 citations), Biotechnology (14 citations) and Computer Networks and Communications (30 citations). C.M. Maynard has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include R.D. Kenway, Craig McNeile, D. Pleiter, K. C. Bowler, J. M. Flynn, Bálint Joó, D.G. Richards, P. E. L. Rakow, G. Schierholz and M. Göckeler. Their work appears in journals such as Physics Letters B, Journal of High Energy Physics, Nuclear Physics B, Computer Physics Communications and Journal of Grid Computing.

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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