Countries citing papers authored by Charles Sullivan
Since
Specialization
Citations
This map shows the geographic impact of Charles Sullivan'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 Charles Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Sullivan more than expected).
Fields of papers citing papers by Charles Sullivan
This network shows the impact of papers produced by Charles Sullivan. 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 Charles Sullivan. The network helps show where Charles Sullivan may publish in the future.
Co-authorship network of co-authors of Charles Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Sullivan.
A scholar is included among the top collaborators of Charles Sullivan 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 Charles Sullivan. Charles Sullivan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pearson, Martin J., Ben Mitchinson, Charles Sullivan, Tony Pipe, & Tony J. Prescott. (2011). Biomimetic vibrissal sensing for robots. Philosophical Transactions of the Royal Society B Biological Sciences. 366(1581). 3085–3096.75 indexed citations
4.
Sullivan, Charles, et al.. (2010). Statistical literacy and sample survey results. International Journal of Mathematical Education in Science and Technology. 41(7). 911–920.4 indexed citations
5.
Sullivan, Charles, et al.. (2010). Kilometres travelled and vehicle occupancy in urban areas: improving evaluation and monitoring.2 indexed citations
6.
Sullivan, Charles, et al.. (2009). Segmentation research for sustainable transport: do’s and don’ts. Transport Research Forum. 32.1 indexed citations
7.
Sullivan, Charles, et al.. (2009). Trends in Older People’s Travel Patterns: Analysing Changes in Older New Zealanders’ Travel Patterns Using the Ongoing New Zealand Household Travel Survey.5 indexed citations
8.
Sullivan, Charles, et al.. (2009). Trends in trip chaining and tours: analysing changes in New Zealanders' travel patterns using the ongoing New Zealand Household Travel Survey.5 indexed citations
9.
Sullivan, Charles, et al.. (2008). Evaluating changes associated with workplace and school travel plans: something old, something borrowed, something new. Transport Research Forum.5 indexed citations
10.
Sullivan, Charles, et al.. (2005). Trip chaining: understanding how New Zealanders link their travel.14 indexed citations
11.
Sullivan, Charles, et al.. (2005). Trip chains and tours: definitional issues associated with household travel surveys. Transport Research Forum. 28.3 indexed citations
Sullivan, Charles, et al.. (2002). UNDERSTANDING UNDERLYING CONSTRAINTS AFFECTING DECISION-MAKING BY MORNING CAR COMMUTERS. The Sydney eScholarship Repository (The University of Sydney).2 indexed citations
Sullivan, Charles, et al.. (2001). Making statistics more effective for business?. International Journal of Mathematical Education in Science and Technology. 32(3). 425–438.6 indexed citations
18.
Sullivan, Charles, et al.. (1992). New Zealand international visitors survey 1990/91: general report..1 indexed citations
Freund, John E., et al.. (1969). Freund and Williams' Modern business statistics. Medical Entomology and Zoology.
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.