Stacy Williams

744 citations
10 papers · 413 indexed · h-index 8
Topics
Complex Systems and Time Series Analysis (9 papers)Complex Network Analysis Techniques (4 papers)Financial Markets and Investment Strategies (2 papers)

In The Last Decade

Stacy Williams

10 papers receiving 391 citations

Peers

Stacy Williams
Comparison fields: 5 of 43
  • Economics and Econometrics 301
  • Finance 186
  • Management Science and Operations Research 123
  • Statistical and Nonlinear Physics 99
  • Artificial Intelligence 33
Replace Mark McDonald with:
Mark McDonald United Kingdom
Daniel J. Fenn United States
Wei-Qiang Huang China
László Gillemot United States
Vladimir Filimonov Switzerland
Ioane Muni Toke France
Kaushik Matia United States
Xiong-Fei Jiang China
Michael C. Münnix Germany
Leonidas Sandoval Brazil
Stacy Williams relative to Mark McDonald United Kingdom Mark McDonald's profile →
Citations per field
00.5×1.6×
Mark McDonald · 1×
Citations per year

Countries citing papers authored by Stacy Williams

Since Specialization
Citations

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

Fields of papers citing papers by Stacy Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stacy Williams

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 8
2 144
3 3
4 17
5 37
6 74
7
The Limit Order Book: A Survey
5
8 17
9 73
10 35

About Stacy Williams

Stacy Williams is a scholar working on Finance, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 10 papers that have together received 413 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (9 papers), Complex Network Analysis Techniques (4 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Finance (186 citations), Economics and Econometrics (301 citations) and Management Science and Operations Research (123 citations). Stacy Williams has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Mark McDonald, Sam Howison, Mason A. Porter, Daniel J. Fenn, Neil F. Johnson, Martin Gould, Nick S. Jones, M. A. H. Dempster, Peter J. Mucha and Raphael Hauser. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Quantitative Finance and Physical Review E.

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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