Richard Lawrence

427 total citations
6 papers, 28 citations indexed

About

Richard Lawrence is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Richard Lawrence has authored 6 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Richard Lawrence's work include Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (2 papers) and Cloud Computing and Resource Management (2 papers). Richard Lawrence is often cited by papers focused on Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (2 papers) and Cloud Computing and Resource Management (2 papers). Richard Lawrence collaborates with scholars based in United States. Richard Lawrence's co-authors include Dhruva K. Chakravorty, Lisa M. Pérez, Vijil Chenthamarakshan, Zhenhua He, Yan Liu, Wesley Brashear, Xin Yang, Mario Michael Krell, T.M. Cockerill and Mahidhar Tatineni and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence and Practice and Experience in Advanced Research Computing.

In The Last Decade

Richard Lawrence

5 papers receiving 26 citations

Peers

Richard Lawrence
Gianluca Mittone Italy
Huazuo Gao
Alex Ozdemir United States
R. Mundy Canada
Hainan Ye China
Vaishnavh Nagarajan United States
Isuru Ranawaka United States
Mohamed Ahmed Abdelraheem Sweden
Yangtian Zi United States
Gianluca Mittone Italy
Richard Lawrence
Citations per year, relative to Richard Lawrence Richard Lawrence (= 1×) peers Gianluca Mittone

Countries citing papers authored by Richard Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Richard Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Lawrence

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

All Works

6 of 6 papers shown
1.
Lawrence, Richard, Dhruva K. Chakravorty, Lisa M. Pérez, et al.. (2024). Container Adoption in Campus High Performance Computing at Texas A&M University. 1–7. 1 indexed citations
2.
Lawrence, Richard, Dhruva K. Chakravorty, Lisa M. Pérez, et al.. (2024). Performance of Molecular Dynamics Acceleration Strategies on Composable Cyberinfrastructure. 1–5.
3.
He, Zhenhua, et al.. (2023). Performance of Distributed Deep Learning Workloads on a Composable Cyberinfrastructure. Practice and Experience in Advanced Research Computing. 60–67. 2 indexed citations
4.
Lawrence, Richard, et al.. (2023). Developing Synthetic Applications Benchmarks on Composable Cyberinfrastructure: A Study of Scaling Molecular Dynamics Applications on GPUs. Practice and Experience in Advanced Research Computing. 216–220. 3 indexed citations
5.
Lawrence, Richard, Zhenhua He, Xin Yang, et al.. (2022). Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads. Practice and Experience in Advanced Research Computing. 1–9. 13 indexed citations
6.
Liu, Yan, et al.. (2011). Transfer Latent Semantic Learning: Microblog Mining with Less Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 561–566. 9 indexed citations

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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2026