Stacy Williams

744 total citations
10 papers, 413 citations indexed

About

Stacy Williams is a scholar working on Economics and Econometrics, Finance and Statistical and Nonlinear Physics. According to data from OpenAlex, Stacy Williams has authored 10 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 5 papers in Finance and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Stacy Williams's work include Complex Systems and Time Series Analysis (9 papers), Complex Network Analysis Techniques (4 papers) and Financial Markets and Investment Strategies (2 papers). Stacy Williams is often cited by papers focused on Complex Systems and Time Series Analysis (9 papers), Complex Network Analysis Techniques (4 papers) and Financial Markets and Investment Strategies (2 papers). Stacy Williams collaborates with scholars based in United Kingdom, United States and Slovakia. Stacy Williams's 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 and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Quantitative Finance and Physical Review E.

In The Last Decade

Stacy Williams

10 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stacy Williams United Kingdom	8	301	186	123	99	33	10	413
Mark McDonald United Kingdom	7	282 0.9×	171 0.9×	101 0.8×	99 1.0×	21 0.6×	9	378
Ioane Muni Toke France	6	340 1.1×	194 1.0×	79 0.6×	100 1.0×	15 0.5×	14	432
Leonidas Sandoval Brazil	8	452 1.5×	183 1.0×	79 0.6×	163 1.6×	16 0.5×	10	527
Wei-Qiang Huang China	12	445 1.5×	179 1.0×	67 0.5×	185 1.9×	43 1.3×	37	565
Daniel J. Fenn United States	5	193 0.6×	135 0.7×	79 0.6×	93 0.9×	26 0.8×	7	326
Darko Stošić Brazil	11	315 1.0×	117 0.6×	47 0.4×	120 1.2×	34 1.0×	18	424
Reza Raei Iran	10	218 0.7×	96 0.5×	61 0.5×	131 1.3×	22 0.7×	39	325
Ashadun Nobi Bangladesh	11	338 1.1×	87 0.5×	61 0.5×	210 2.1×	13 0.4×	25	401
Rongbao Gu China	15	587 2.0×	288 1.5×	81 0.7×	260 2.6×	15 0.5×	29	814
László Gillemot United States	7	485 1.6×	387 2.1×	104 0.8×	66 0.7×	13 0.4×	9	544

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

McDonald, Mark, et al.. (2018). Relative Robust Portfolio Optimization with benchmark regret. Quantitative Finance. 18(12). 1991–2003. 8 indexed citations

2.

Gould, Martin, Mason A. Porter, Stacy Williams, et al.. (2013). Limit order books. Quantitative Finance. 13(11). 1709–1742. 144 indexed citations

3.

Zhao, Guannan, et al.. (2013). Transition in the waiting-time distribution of price-change events in a global socioeconomic system. Physica A Statistical Mechanics and its Applications. 392(24). 6458–6469. 3 indexed citations

4.

Gould, Martin, et al.. (2012). Limit Order Books. SSRN Electronic Journal. 17 indexed citations

5.

Fenn, Daniel J., Mason A. Porter, Peter J. Mucha, et al.. (2012). Dynamical clustering of exchange rates. Quantitative Finance. 12(10). 1493–1520. 37 indexed citations

6.

Fenn, Daniel J., Mason A. Porter, Stacy Williams, et al.. (2011). Temporal evolution of financial-market correlations. Physical Review E. 84(2). 26109–26109. 74 indexed citations

7.

Gould, Martin, Mason A. Porter, Stacy Williams, et al.. (2010). The Limit Order Book: A Survey. arXiv (Cornell University). 5 indexed citations

8.

McDonald, Mark, et al.. (2008). Impact of unexpected events, shocking news, and rumors on foreign exchange market dynamics. Physical Review E. 77(4). 46110–46110. 17 indexed citations

9.

McDonald, Mark, et al.. (2005). Detecting a currency’s dominance or dependence using foreign exchange network trees. Physical Review E. 72(4). 46106–46106. 73 indexed citations

10.

Dempster, M. A. H., et al.. (2004). Adaptive systems for foreign exchange trading. Quantitative Finance. 4(4). 37–45. 35 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.

Explore authors with similar magnitude of impact