Citations per year, relative to Lloyd G. Williams Lloyd G. Williams (= 1×)
peers
Paul Sorenson
Countries citing papers authored by Lloyd G. Williams
Since
Specialization
Citations
This map shows the geographic impact of Lloyd G. Williams'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 Lloyd G. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lloyd G. Williams more than expected).
Fields of papers citing papers by Lloyd G. Williams
This network shows the impact of papers produced by Lloyd G. Williams. 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 Lloyd G. Williams. The network helps show where Lloyd G. Williams may publish in the future.
Co-authorship network of co-authors of Lloyd G. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd G. Williams.
A scholar is included among the top collaborators of Lloyd G. Williams 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 Lloyd G. Williams. Lloyd G. Williams is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Smith, Connie U. & Lloyd G. Williams. (2012). Software Performance Antipatterns for Identifying and Correcting Performance Problems.. Int. CMG Conference.5 indexed citations
3.
Horton, T. E., et al.. (2008). Visual Affordances and Symmetries in Canis habilis: A Progress Report.. National Conference on Artificial Intelligence. 72–78.2 indexed citations
Smith, Connie U. & Lloyd G. Williams. (2006). Five steps to establish software performance engineering.. Int. CMG Conference. 507–516.4 indexed citations
6.
Williams, Lloyd G. & Connie U. Smith. (2005). QSEM: Quantitative Scalability Evaluation Method.. Int. CMG Conference. 341–352.6 indexed citations
7.
Williams, Lloyd G. & Connie U. Smith. (2004). Web Application Scalability: A Model-Based Approach.. Int. CMG Conference. 215–226.12 indexed citations
8.
Smith, Connie U. & Lloyd G. Williams. (2003). More New Software Antipatterns: Even More Ways to Shoot Yourself in the Foot.. Int. CMG Conference. 717–725.44 indexed citations
9.
Williams, Lloyd G. & Connie U. Smith. (2003). Making the Business Case for Software Performance Engineering. Int. CMG Conference. 349–358.17 indexed citations
10.
Smith, Connie U. & Lloyd G. Williams. (2003). Best Practices for Software Performance Engineering. Int. CMG Conference. 83–92.17 indexed citations
11.
Smith, Connie U. & Lloyd G. Williams. (2002). Introduction to Software Performance Engineering.. Int. CMG Conference. 853–864.8 indexed citations
12.
Smith, Connie U. & Lloyd G. Williams. (2002). New Software Performance AntiPatterns: More Ways to Shoot Yourself in the Foot. Int. CMG Conference. 667–674.34 indexed citations
13.
Williams, Lloyd G. & Connie U. Smith. (2002). PASA(SM): An Architectural Approach to Fixing Software Performance Problems.. Int. CMG Conference. 307–320.9 indexed citations
Smith, Connie U. & Lloyd G. Williams. (2000). BUILDING RESPONSIVE AND SCALABLE WEB APPLICATIONS. Int. CMG Conference. 127–138.12 indexed citations
16.
Smith, Connie U. & Lloyd G. Williams. (1998). Performance Engineering Models of CORBA-based Distributed-Object Systems.. Int. CMG Conference. 886–898.16 indexed citations
17.
Smith, Connie U. & Lloyd G. Williams. (1997). A Basic Performance Model Interchange Format. Int. CMG Conference. 550–561.
18.
Smith, Connie U. & Lloyd G. Williams. (1997). Performance Engineering Evaluation of Object Oriented Systems With SPE-ED.. Int. CMG Conference. 694–705.8 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.