This map shows the geographic impact of Geoff Pollard'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 Geoff Pollard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Pollard more than expected).
This network shows the impact of papers produced by Geoff Pollard. 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 Geoff Pollard. The network helps show where Geoff Pollard may publish in the future.
Co-authorship network of co-authors of Geoff Pollard
This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Pollard.
A scholar is included among the top collaborators of Geoff Pollard 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 Geoff Pollard. Geoff Pollard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pollard, Graham & Geoff Pollard. (2012). A GENERAL MEASURE FOR THE RELATIVE EFFICIENCY OF ANY TWO SCORING SYSTEMS. RePEc: Research Papers in Economics. 162–169.
3.
Pollard, Geoff & Graham Pollard. (2010). The efficiency of tennis doubles scoring systems.. PubMed. 9(3). 393–7.2 indexed citations
4.
Pollard, Geoff, et al.. (2010). Applying Strategies to the Tennis Challenge System. Swinburne Research Bank (Swinburne University of Technology). 15(1). 12–15.4 indexed citations
5.
Pollard, Graham, Geoff Pollard, I. G. Lisle, & Rod Cross. (2010). Bias in sporting match statistics. Swinburne Research Bank (Swinburne University of Technology). 221–228.1 indexed citations
6.
Pollard, Graham, et al.. (2010). How the interpretation of match statistics affects player performance. Swinburne Research Bank (Swinburne University of Technology). 15(2). 23–27.5 indexed citations
7.
Pollard, Geoff & Graham Pollard. (2010). Four ball best ball 1.. PubMed. 9(1). 86–91.6 indexed citations
8.
Pollard, Graham & Geoff Pollard. (2010). The efficiency of scoring systems with outcome dependent points. Swinburne Research Bank (Swinburne University of Technology). 35–42.2 indexed citations
9.
Pollard, Geoff, et al.. (2009). Applying tennis match statistics to increase serving performance during a match in progress. Swinburne Research Bank (Swinburne University of Technology).4 indexed citations
10.
Pollard, Geoff. (2008). What is the best serving strategy. Swinburne Research Bank (Swinburne University of Technology). 13(2). 34.3 indexed citations
11.
Pollard, Geoff & Graham Pollard. (2008). The efficiency of doubles scoring systems. Swinburne Research Bank (Swinburne University of Technology). 45.2 indexed citations
12.
Pollard, Geoff & Graham Pollard. (2008). Four ball best ball 1. SHILAP Revista de lepidopterología. 208–223.1 indexed citations
13.
Pollard, Geoff. (2008). Balancing the use of first and second serves. Swinburne Research Bank (Swinburne University of Technology). 13(1). 30.1 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.