Laurie Williams

1.8k total citations · 1 hit paper
14 papers, 941 citations indexed

About

Laurie Williams is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Laurie Williams has authored 14 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 5 papers in Software and 3 papers in Computer Networks and Communications. Recurrent topics in Laurie Williams's work include Software Engineering Research (8 papers), Information and Cyber Security (5 papers) and Software Reliability and Analysis Research (4 papers). Laurie Williams is often cited by papers focused on Software Engineering Research (8 papers), Information and Cyber Security (5 papers) and Software Reliability and Analysis Research (4 papers). Laurie Williams collaborates with scholars based in United States, United Kingdom and Canada. Laurie Williams's co-authors include James E. Tomayko, Daniela Damian, Lucas Layman, Akond Rahman, John Slankas, Patrick Morrison, Rahul Pandita, Yonghee Shin, Nuthan Munaiah and Jeffrey C. Carver and has published in prestigious journals such as Information and Software Technology, Empirical Software Engineering and Knowledge and Information Systems.

In The Last Decade

Laurie Williams

12 papers receiving 852 citations

Hit Papers

Agile Software Development 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurie Williams United States 9 791 190 161 155 149 14 941
Dieter Rombach Germany 14 686 0.9× 274 1.4× 218 1.4× 128 0.8× 143 1.0× 46 910
Paolo Tell Denmark 12 551 0.7× 114 0.6× 127 0.8× 103 0.7× 168 1.1× 28 761
Yael Dubinsky Israel 14 602 0.8× 116 0.6× 236 1.5× 182 1.2× 128 0.9× 69 788
Lucas Layman United States 18 1.0k 1.3× 371 2.0× 149 0.9× 426 2.7× 162 1.1× 61 1.3k
Barbara Paech Germany 20 946 1.2× 307 1.6× 484 3.0× 126 0.8× 196 1.3× 136 1.3k
Marco Kuhrmann Germany 16 880 1.1× 163 0.9× 202 1.3× 195 1.3× 184 1.2× 100 1.1k
Robert Dupuis Canada 8 773 1.0× 283 1.5× 217 1.3× 199 1.3× 138 0.9× 23 1.0k
Geir Kjetil Hanssen Norway 13 577 0.7× 152 0.8× 208 1.3× 158 1.0× 156 1.0× 45 840
Ricardo Britto Sweden 14 560 0.7× 212 1.1× 140 0.9× 117 0.8× 147 1.0× 52 709
Davide Falessi United States 19 928 1.2× 432 2.3× 306 1.9× 160 1.0× 170 1.1× 75 1.2k

Countries citing papers authored by Laurie Williams

Since Specialization
Citations

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

Fields of papers citing papers by Laurie Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurie Williams

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

All Works

14 of 14 papers shown
1.
Rahman, Md Rayhanur, et al.. (2025). Mining temporal attack patterns from cyberthreat intelligence reports. Knowledge and Information Systems. 67(10). 8941–8981.
3.
Rahman, Md Rayhanur, et al.. (2024). ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack Actions. 420–429. 1 indexed citations
4.
Rahman, Md Rayhanur, et al.. (2024). Towards a Taxonomy of Challenges in Security Control Implementation. 61–75.
5.
Rahman, Akond & Laurie Williams. (2019). Source code properties of defective infrastructure as code scripts. Information and Software Technology. 112. 148–163. 36 indexed citations
6.
Guo, Hui, et al.. (2019). Çorba: crowdsourcing to obtain requirements from regulations and breaches. Empirical Software Engineering. 25(1). 532–561. 8 indexed citations
7.
Williams, Laurie, et al.. (2019). Better together: Comparing vulnerability prediction models. Information and Software Technology. 119. 106204–106204. 19 indexed citations
8.
Morrison, Patrick, et al.. (2018). Mapping the field of software life cycle security metrics. Information and Software Technology. 102. 146–159. 38 indexed citations
9.
Munaiah, Nuthan, et al.. (2018). Attack surface definitions: A systematic literature review. Information and Software Technology. 104. 94–103. 27 indexed citations
10.
Murphy, Thomas Brendan, Jacek Czerwonka, & Laurie Williams. (2014). Branching Taxonomy. 2 indexed citations
11.
12.
Layman, Lucas, et al.. (2006). Essential communication practices for Extreme Programming in a global software development team. Information and Software Technology. 48(9). 781–794. 178 indexed citations
14.
Williams, Laurie & James E. Tomayko. (2002). Agile Software Development. Computer Science Education. 12(3). 167–168. 551 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.

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