Robert Searles

570 citations
10 papers · 410 · 1 hit paper · h-index 6

Impact in

Papers in

Robert Searles

9 papers receiving 400 citations

Robert Searles's Hit Papers

Auto-tuning a high-level language targeted to GPU codes 2012 · 341 citations
3410+4+9Years since publication100200300

Peers

Robert Searles
Comparison fields: 5 of 47
  • Hardware and Architecture 338
  • Computer Networks and Communications 308
  • Information Systems 116
  • Software 19
  • Signal Processing 18
Replace Milind Chabbi with:
Milind Chabbi United States
Andrew Kerr United States
Haibo Lin China
Hwansoo Han South Korea
Guoyang Chen United States
David Sidler Switzerland
Yaoqing Gao Canada
Yuan‐Shin Hwang Taiwan
Simone Campanoni United States
Gabriel Parmer United States
Robert Searles relative to Milind Chabbi United States Milind Chabbi's profile →
Citations per field
00.5×1.5×
Milind Chabbi · 1×
Citations per year

Countries citing papers authored by Robert Searles

Since Specialization
Citations

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

Fields of papers citing papers by Robert Searles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Robert Searles, 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 Robert Searles Line = papers co-authored together Robert Searles links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Auto-tuning a high-level language targeted to GPU codes
Hit paper breakdown →
2012341
2 201324
3 201715
4 20189
5 20187
6 20225
7 20204
8 20183
9 20172
10 20190

About Robert Searles

Robert Searles is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 410 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Enzyme Structure and Function (2 papers), Embedded Systems Design Techniques (2 papers), Interconnection Networks and Systems (2 papers), Protein Structure and Dynamics (2 papers), Advanced NMR Techniques and Applications (2 papers), Cloud Computing and Resource Management (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Hardware and Architecture (338 citations), Computer Networks and Communications (308 citations), Information Systems (116 citations), Software (19 citations) and Signal Processing (18 citations). Robert Searles has collaborated with scholars based in United States. Frequent co-authors include John Cavazos, Lifan Xu, William Killian, Sunita Chandrasekaran, Óscar Hernández, Wayne Joubert, A Howe, Joshua A. Simmons, Paul Macklin and Juan R. Perilla. Their work appears in journals such as Biophysical Journal, Computer Physics Communications, Computing in Science & Engineering, PLoS Computational Biology and International Journal of High Performance Computing and Networking.

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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