Edward D. Lazowska

10.1k total citations · 2 hit papers
150 papers, 6.9k citations indexed

About

Edward D. Lazowska is a scholar working on Computer Networks and Communications, Hardware and Architecture and Management Science and Operations Research. According to data from OpenAlex, Edward D. Lazowska has authored 150 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Computer Networks and Communications, 53 papers in Hardware and Architecture and 25 papers in Management Science and Operations Research. Recurrent topics in Edward D. Lazowska's work include Parallel Computing and Optimization Techniques (48 papers), Distributed systems and fault tolerance (44 papers) and Distributed and Parallel Computing Systems (43 papers). Edward D. Lazowska is often cited by papers focused on Parallel Computing and Optimization Techniques (48 papers), Distributed systems and fault tolerance (44 papers) and Distributed and Parallel Computing Systems (43 papers). Edward D. Lazowska collaborates with scholars based in United States, Canada and United Kingdom. Edward D. Lazowska's co-authors include John Zahorjan, Henry M. Levy, Derek L. Eager, Thomas E. Anderson, Brian N. Bershad, Kenneth C. Sevcik, G. Scott Graham, Yi‐Bing Lin, Jeffrey S. Chase and Guy T. Almes and has published in prestigious journals such as Cell, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Edward D. Lazowska

139 papers receiving 6.0k citations

Hit Papers

Quantitative system perfo... 1984 2026 1998 2012 1984 1986 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward D. Lazowska United States 41 5.7k 3.3k 1.5k 861 731 150 6.9k
John Zahorjan United States 35 6.1k 1.1× 1.6k 0.5× 1.3k 0.8× 665 0.8× 692 0.9× 89 6.9k
David M. Nicol United States 38 3.7k 0.6× 927 0.3× 1.1k 0.7× 848 1.0× 419 0.6× 311 5.6k
Anna R. Karlin United States 37 5.2k 0.9× 1.6k 0.5× 764 0.5× 2.0k 2.3× 214 0.3× 109 6.4k
Abraham Silberschatz United States 36 5.1k 0.9× 1.2k 0.4× 2.0k 1.3× 1.8k 2.1× 314 0.4× 162 7.0k
Andrew S. Tanenbaum Netherlands 43 6.0k 1.1× 2.4k 0.7× 2.3k 1.5× 2.1k 2.4× 207 0.3× 253 8.6k
Alan Demers United States 34 8.3k 1.5× 1.7k 0.5× 1.6k 1.1× 1.4k 1.6× 180 0.2× 99 10.3k
Gustavo Alonso Switzerland 47 6.3k 1.1× 1.6k 0.5× 4.6k 3.0× 2.9k 3.4× 1.4k 1.9× 274 9.3k
James R. Larus United States 50 6.0k 1.1× 5.8k 1.8× 2.5k 1.6× 2.3k 2.7× 153 0.2× 188 9.3k
Mor Harchol‐Balter United States 43 5.8k 1.0× 1.6k 0.5× 2.9k 1.9× 354 0.4× 2.0k 2.7× 189 7.1k
E. G. Coffman United States 37 4.3k 0.8× 1.5k 0.5× 662 0.4× 510 0.6× 854 1.2× 180 7.6k

Countries citing papers authored by Edward D. Lazowska

Since Specialization
Citations

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

Fields of papers citing papers by Edward D. Lazowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward D. Lazowska. 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 Edward D. Lazowska. The network helps show where Edward D. Lazowska may publish in the future.

Co-authorship network of co-authors of Edward D. Lazowska

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

All Works

20 of 20 papers shown
1.
Lazowska, Edward D., et al.. (2014). Choroba symulatorowa w badaniach kierowców z wykorzystaniem symulatorów jazdy. Logistyka.
2.
Lazowska, Edward D.. (2012). Computer science: past, present, and future. Journal of computing sciences in colleges. 27(6). 6–6. 1 indexed citations
3.
Lazowska, Edward D., et al.. (2005). Cyber Security: A Crisis of Prioritization. Defense Technical Information Center (DTIC). 30(16). 47580–47601. 26 indexed citations
4.
Abbott, Martin Lee, et al.. (2005). The NSF Laboratory for Ocean Observatories Knowledge INtegration Grid (LOOKING). AGU Fall Meeting Abstracts. 2005. 1 indexed citations
5.
Eager, Derek L., John Zahorjan, & Edward D. Lazowska. (1995). Speedup versus efficiency in parallel systems. IEEE Computer Society Press eBooks. 76–91. 67 indexed citations
6.
Thekkath, Chandramohan A., Henry M. Levy, & Edward D. Lazowska. (1993). Efficient Support for Multicomputing on ATM Networks. 28 indexed citations
7.
Thekkath, Chandramohan A., et al.. (1993). Implementing network protocols at user level. 64–73. 87 indexed citations
8.
Lazowska, Edward D., et al.. (1992). Effect of Process Scheduling in Parallel Simulation.. 2. 2 indexed citations
9.
Adrion, W. Richards, Edward D. Lazowska, & Andries van Dam. (1992). From Discipline in Crisis to Mature Science: Evolving Needs for Computing Research Infrastructure. Computer. 25(12). 18–24. 1 indexed citations
10.
Lin, Yi‐Bing, Edward D. Lazowska, & Mary L. Bailey. (1990). Comparing Synchronization Protocols for Parallel Logic-Level Simulation.. Proceedings of the International Conference on Parallel Processing. 223–227. 9 indexed citations
11.
Lin, Yi‐Bing & Edward D. Lazowska. (1990). Determining the Global Virtual Time in a Distributed Simulation.. Proceedings of the International Conference on Parallel Processing. 201–209. 63 indexed citations
12.
Anderson, Richard, et al.. (1989). The Measured Performance of Parallel Dynamic Programming Implementations.. Proceedings of the International Conference on Parallel Processing. 76–79. 7 indexed citations
13.
Lazowska, Edward D., John Zahorjan, G. Scott Graham, & Kenneth C. Sevcik. (1985). Quantitative System Performance.. Int. CMG Conference. 826–828. 266 indexed citations
14.
Lazowska, Edward D., John Zahorjan, G. Scott Graham, & Kenneth C. Sevcik. (1984). Quantitative system performance: computer system analysis using queueing network models. Prentice-Hall, Inc eBooks. 468–470. 776 indexed citations breakdown →
15.
Lazowska, Edward D., et al.. (1983). A Reduction Technique for Evaluating Queueing Networks with Serialization Delays. International Symposium on Computer Modeling, Measurement and Evaluation. 45–59. 24 indexed citations
16.
Lazowska, Edward D.. (1982). Proceedings of the 1982 ACM SIGMETRICS conference on Measurement and modeling of computer systems. 6 indexed citations
17.
Lazowska, Edward D.. (1980). The Use of Analytic Modelling in System Selection.. Int. CMG Conference. 4(4). 63–69. 1 indexed citations
18.
Lazowska, Edward D., et al.. (1979). Selecting Parameter Values for Servers of the Phase Type. International Symposium on Computer Modeling, Measurement and Evaluation. 407–420. 3 indexed citations
19.
Holt, Richard C., et al.. (1978). Announcing Concurrent SP/k.. ACM SIGOPS Operating Systems Review. 12. 4–7. 1 indexed citations
20.
Lazowska, Edward D.. (1977). Characterizing service time and response time distributions in queueing network models of computer systems.. The Journal of Chemical Physics. 149(17). 175102–175102. 7 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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