Robert Searles

566 total citations · 1 hit paper
10 papers, 405 citations indexed

About

Robert Searles is a scholar working on Computer Networks and Communications, Hardware and Architecture and Molecular Biology. According to data from OpenAlex, Robert Searles has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 3 papers in Molecular Biology. Recurrent topics in Robert Searles's work include Parallel Computing and Optimization Techniques (4 papers), Protein Structure and Dynamics (2 papers) and Interconnection Networks and Systems (2 papers). Robert Searles is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Protein Structure and Dynamics (2 papers) and Interconnection Networks and Systems (2 papers). Robert Searles collaborates with scholars based in United States. Robert Searles's co-authors include John Cavazos, Lifan Xu, William Killian, Sunita Chandrasekaran, Wayne Joubert, Óscar Hernández, Joshua A. Simmons, A Howe, Juan R. Perilla and Paul Macklin and has published in prestigious journals such as Biophysical Journal, Computer Physics Communications and PLoS Computational Biology.

In The Last Decade

Robert Searles

9 papers receiving 395 citations

Hit Papers

Auto-tuning a high-level language targeted to GPU codes 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Searles United States 5 335 306 116 49 46 10 405
Milind Chabbi United States 13 417 1.2× 396 1.3× 159 1.4× 62 1.3× 60 1.3× 50 491
Haibo Lin China 10 256 0.8× 318 1.0× 168 1.4× 31 0.6× 48 1.0× 18 367
Andrew Kerr United States 10 475 1.4× 438 1.4× 104 0.9× 63 1.3× 40 0.9× 11 537
Weixing Ji China 11 223 0.7× 271 0.9× 59 0.5× 58 1.2× 74 1.6× 62 397
Hwansoo Han South Korea 12 239 0.7× 261 0.9× 81 0.7× 41 0.8× 66 1.4× 57 375
Guoyang Chen United States 10 324 1.0× 279 0.9× 107 0.9× 64 1.3× 71 1.5× 22 432
Yaoqing Gao Canada 8 354 1.1× 309 1.0× 106 0.9× 40 0.8× 72 1.6× 24 424
Rajkishore Barik United States 14 466 1.4× 458 1.5× 185 1.6× 26 0.5× 60 1.3× 23 540
Kevin London United States 9 317 0.9× 348 1.1× 127 1.1× 46 0.9× 57 1.2× 10 428
José G. Castaños United States 14 326 1.0× 344 1.1× 72 0.6× 26 0.5× 63 1.4× 30 432

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-authorship network of co-authors of Robert Searles

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

All Works

10 of 10 papers shown
1.
Macklin, Paul, et al.. (2022). OpenACC Acceleration of an Agent-Based Biological Simulation Framework. Computing in Science & Engineering. 24(5). 53–63. 4 indexed citations
2.
Searles, Robert, et al.. (2020). Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC. PLoS Computational Biology. 16(5). e1007877–e1007877. 4 indexed citations
4.
Searles, Robert, et al.. (2018). Path forward for softwarization to tackle evolving hardware. 10. 21–21. 3 indexed citations
5.
Searles, Robert, Sunita Chandrasekaran, Wayne Joubert, & Óscar Hernández. (2018). Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–10. 6 indexed citations
6.
Searles, Robert, Sunita Chandrasekaran, Wayne Joubert, & Óscar Hernández. (2018). MPI + OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems. Computer Physics Communications. 236. 176–187. 8 indexed citations
7.
Searles, Robert, Lifan Xu, William Killian, et al.. (2017). Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection. 69–77. 15 indexed citations
8.
Searles, Robert, Michela Taufer, Sunita Chandrasekaran, Stephen Herbein, & Travis Johnston. (2017). Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications. International Journal of High Performance Computing and Networking. 1(1). 1–1. 2 indexed citations
9.
Killian, William, et al.. (2013). Accelerating financial applications on the GPU. 127–136. 24 indexed citations
10.
Xu, Lifan, et al.. (2012). Auto-tuning a high-level language targeted to GPU codes. 1–10. 339 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026