Mark McDonald

693 citations
9 papers · 378 indexed · h-index 7
Topics
Complex Systems and Time Series Analysis (8 papers)Complex Network Analysis Techniques (4 papers)Financial Markets and Investment Strategies (2 papers)

In The Last Decade

Mark McDonald

9 papers receiving 363 citations

Peers

Mark McDonald
Comparison fields: 5 of 43
  • Economics and Econometrics 282
  • Finance 171
  • Management Science and Operations Research 101
  • Statistical and Nonlinear Physics 99
  • Signal Processing 24
Replace Stacy Williams with:
Stacy Williams United Kingdom
Daniel J. Fenn United States
Michael C. Münnix Germany
László Gillemot United States
Xiong-Fei Jiang China
Ioane Muni Toke France
Wei-Qiang Huang China
Austin Gerig United States
Kaushik Matia United States
Vladimir Filimonov Switzerland
Mark McDonald relative to Stacy Williams United Kingdom Stacy Williams's profile →
Citations per field
00.5×1.5×
Stacy Williams · 1×
Citations per year

Countries citing papers authored by Mark McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Mark McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark McDonald

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

All Works

9 of 9 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

About Mark McDonald

Mark McDonald is a scholar working on Finance, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 9 papers that have together received 378 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (8 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 (171 citations), Economics and Econometrics (282 citations) and Management Science and Operations Research (101 citations). Mark McDonald has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Stacy Williams, Sam Howison, Mason A. Porter, Daniel J. Fenn, Neil F. Johnson, Martin Gould, Nick S. Jones, Peter J. Mucha, Raphael Hauser and Guannan Zhao. 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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