Aaron Meurer

1.9k citations
2 papers · 34 indexed · h-index 2
Topics
Parallel Computing and Optimization Techniques (1 paper)Scientific Computing and Data Management (1 paper)Computational Physics and Python Applications (1 paper)
Journals
ACM communications in computer algebraProceedings of the Python in Science Conferences
Partner nations
United States

In The Last Decade

Aaron Meurer

2 papers receiving 34 citations

Peers

Aaron Meurer
Comparison fields: 5 of 33
  • Artificial Intelligence 12
  • Molecular Biology 6
  • Computer Networks and Communications 6
  • Electrical and Electronic Engineering 5
  • Biomedical Engineering 5
Replace Chaya Ganesh with:
Chaya Ganesh India
Maciej Skórski Poland
Leslie Rice United States
Eliav Buchnik United States
Philip Hawkes Australia
Sachin Farfade United States
Tamara von Glehn United Kingdom
Fernando Virdia United Kingdom
Yuan-Hong Liao Canada
Aaron Meurer relative to Chaya Ganesh India Chaya Ganesh's profile →
Citations per field
00.5×
Chaya Ganesh · 1×
Citations per year

Countries citing papers authored by Aaron Meurer

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Meurer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Meurer

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1 1
2 33

About Aaron Meurer

Aaron Meurer is a scholar working on Hardware and Architecture, Information Systems and Management and Artificial Intelligence, having authored 2 papers that have together received 34 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (1 paper), Scientific Computing and Data Management (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Theoretical Computer Science (1 citation), Hardware and Architecture (4 citations) and Software (2 citations). Aaron Meurer has collaborated with scholars based in United States. Frequent co-authors include Ondřej Čertı́k, Brian Granger, David Joyner, Andreas Müller, Sheng Zha, Travis E. Oliphant, Matthew Barber, Stephan Hoyer, Tyler Reddy and Alexandre Passos. Their work appears in journals such as ACM communications in computer algebra and Proceedings of the Python in Science Conferences.

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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