Laurie Williams

1.8k citations
14 papers · 941 indexed · 1 hit paper · h-index 9
Topics
Software Engineering Research (8 papers)Information and Cyber Security (5 papers)Software Reliability and Analysis Research (4 papers)

In The Last Decade

Laurie Williams

12 papers receiving 852 citations

Hit Papers

Agile Software Development20022026201020182002100200300400500

Peers

Laurie Williams
Comparison fields: 5 of 76
  • Information Systems 791
  • Software 190
  • Artificial Intelligence 161
  • Computer Science Applications 155
  • Computer Networks and Communications 149
Replace Dieter Rombach with:
Dieter Rombach Germany
Paolo Tell Denmark
Barbara Paech Germany
Yael Dubinsky Israel
Lucas Layman United States
Geir Kjetil Hanssen Norway
Marco Kuhrmann Germany
Robert Dupuis Canada
Andrea Janes Italy
Davide Falessi United States
Laurie Williams relative to Dieter Rombach Germany Dieter Rombach's profile →
Citations per field
00.5×1.5×2.2×
Dieter Rombach · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 12
3 1
4 0
5 36
6 8
7 19
8 27
9 38
10
Branching Taxonomy
2
11 58
12 178
13 11
14
Agile Software Developmentbreakdown →
551

About Laurie Williams

Laurie Williams is a scholar working on Software, Health Informatics and Information Systems, having authored 14 papers that have together received 941 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Information and Cyber Security (5 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Software (190 citations), Information Systems (791 citations) and Computer Science Applications (155 citations). Laurie Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include James E. Tomayko, Lucas Layman, Daniela Damian, Akond Rahman, John Slankas, Patrick Morrison, Rahul Pandita, Yonghee Shin, Jeffrey C. Carver and Nuthan Munaiah. Their work appears in journals such as Information and Software Technology, Empirical Software Engineering and Knowledge and Information Systems.

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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