Lawrence A. Crowl

614 total citations
16 papers, 452 citations indexed

About

Lawrence A. Crowl is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Lawrence A. Crowl has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Hardware and Architecture and 4 papers in Artificial Intelligence. Recurrent topics in Lawrence A. Crowl's work include Parallel Computing and Optimization Techniques (13 papers), Distributed systems and fault tolerance (8 papers) and Distributed and Parallel Computing Systems (8 papers). Lawrence A. Crowl is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Distributed systems and fault tolerance (8 papers) and Distributed and Parallel Computing Systems (8 papers). Lawrence A. Crowl collaborates with scholars based in United States. Lawrence A. Crowl's co-authors include M.H. Shor, T.J. LeBlanc, Michael L. Scott, Yossi Lev, Mark Crovella, Dan Nussbaum, Victor Luchangco, Mark Moir, John Mellor‐Crummey and Thomas J. LeBlanc and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Lawrence A. Crowl

14 papers receiving 392 citations

Peers

Lawrence A. Crowl
Lawrence A. Crowl
Citations per year, relative to Lawrence A. Crowl Lawrence A. Crowl (= 1×) peers Johan Zackrisson

Countries citing papers authored by Lawrence A. Crowl

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence A. Crowl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence A. Crowl

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

All Works

16 of 16 papers shown
1.
Luchangco, Victor, Lawrence A. Crowl, Yossi Lev, Dan Nussbaum, & Mark Moir. (2007). Integrating Transactional Memory into C. UR Research (University of Rochester). 13 indexed citations
2.
Crowl, Lawrence A. & T.J. LeBlanc. (2003). Control abstraction in parallel programming languages. se 13. 44–53.
3.
Crowl, Lawrence A.. (2003). Shared memory multiprocessors and sequential programming languages: a case study. se 13. 103–108. 1 indexed citations
4.
Crowl, Lawrence A., et al.. (1996). Distance learning applied to control engineering laboratories. IEEE Transactions on Education. 39(3). 320–326. 319 indexed citations
5.
Crowl, Lawrence A., et al.. (1996). Running Control Engineering Experiments Over the Internet. IFAC Proceedings Volumes. 29(1). 2919–2927. 54 indexed citations
6.
Crowl, Lawrence A., Mark Crovella, T.J. LeBlanc, & Michael L. Scott. (1994). The Advantages of Multiple Parallelizations in Combinatorial Search. Journal of Parallel and Distributed Computing. 21(1). 110–123. 11 indexed citations
7.
Crowl, Lawrence A. & Thomas J. LeBlanc. (1994). Parallel programming with control abstraction. ACM Transactions on Programming Languages and Systems. 16(3). 524–576. 1 indexed citations
8.
Crowl, Lawrence A.. (1994). How to measure, present, and compare parallel performance. 2(1). 9–25. 23 indexed citations
9.
Crowl, Lawrence A., Mark Crovella, Thomas J. LeBlanc, & Michael L. Scott. (1992). Beyond Data Parallelism: The Advantages of Multiple Parallelizations in Combinatorial Search. Defense Technical Information Center (DTIC). 1 indexed citations
10.
Crowl, Lawrence A.. (1991). Architectural adaptability in parallel programming. Defense Technical Information Center (DTIC). 4 indexed citations
11.
LeBlanc, Thomas J., et al.. (1989). The Elmwood multiprocessor operating system. Software Practice and Experience. 19(11). 1029–1055. 4 indexed citations
12.
Crowl, Lawrence A.. (1988). A uniform object model for parallel programming. ACM SIGPLAN Notices. 24(4). 25–27. 2 indexed citations
13.
Crowl, Lawrence A.. (1988). A uniform object model for parallel programming. 25–27. 5 indexed citations
14.
Crowl, Lawrence A.. (1987). An Interface between Object-Oriented Systems.. UR Research (University of Rochester). 2 indexed citations
15.
Mellor‐Crummey, John, et al.. (1987). Elmwood -An Object-Oriented Multiprocessor Operating System. UR Research (University of Rochester). 4 indexed citations
16.
Brown, Christopher M., Robert J. Fowler, Thomas J. LeBlanc, et al.. (1986). DARPA Parallel Architecture Benchmark Study. UR Research (University of Rochester). 8 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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