Citations per year, relative to Barbara C. Richardson Barbara C. Richardson (= 1×)
peers
David Burwell
Countries citing papers authored by Barbara C. Richardson
Since
Specialization
Citations
This map shows the geographic impact of Barbara C. Richardson'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 Barbara C. Richardson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara C. Richardson more than expected).
Fields of papers citing papers by Barbara C. Richardson
This network shows the impact of papers produced by Barbara C. Richardson. 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 Barbara C. Richardson. The network helps show where Barbara C. Richardson may publish in the future.
Co-authorship network of co-authors of Barbara C. Richardson
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara C. Richardson.
A scholar is included among the top collaborators of Barbara C. Richardson 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 Barbara C. Richardson. Barbara C. Richardson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Richardson, Barbara C.. (2000). Toward estimating intelligent transportation system benefits based on user needs. Deep Blue (University of Michigan).2 indexed citations
Richardson, Barbara C. & Paul Green. (2000). TRENDS IN NORTH AMERICAN INTELLIGENT TRANSPORTATION SYSTEMS : A YEAR 2000 APPRAISAL. Deep Blue (University of Michigan).11 indexed citations
Richardson, Barbara C., et al.. (1999). METHOD FOR ESTIMATING MARKET ACCEPTANCE OF TECHNOLOGIES AND FUELS OF THE PARTNERSHIP FOR A NEW GENERATION OF VEHICLES. Deep Blue (University of Michigan).2 indexed citations
Richardson, Barbara C., et al.. (1997). APPLICATION OF DECISION ANALYSIS TO INTELLIGENT TRANSPORTATION SYSTEM SOCIETAL ISSUES.2 indexed citations
11.
Richardson, Barbara C. & Daniel Andrés Rodríguez. (1997). ITS IN DEVELOPING COUNTRIES: STRATEGIC OPPORTUNITIES. 5(3).1 indexed citations
12.
Richardson, Barbara C.. (1997). APPLICATION OF DECISION ANALYSIS TO INTELLIGENT TRANSPORTATION SYSTEMS SOCIETAL ISSUES.1 indexed citations
13.
Richardson, Barbara C.. (1995). SOCIETAL ISSUES IN INTELLIGENT TRANSPORTATION SYSTEMS: WHAT ARE THEY? WHY ARE THEY IMPORTANT? WHAT CAN WE DO ABOUT THEM?.
14.
Richardson, Barbara C.. (1994). SOCIOECONOMIC ISSUES AND INTELLIGENT TRANSPORTATION SYSTEMS.1 indexed citations
Richardson, Barbara C.. (1982). An analysis of the Jack Faucett Associates Automobile Sector Forecasting Model. Deep Blue (University of Michigan).1 indexed citations
17.
Richardson, Barbara C.. (1980). An inventory of selected mathematical models relating to the motor vehicle transportation system and associated literature. Second supplement. Deep Blue (University of Michigan).1 indexed citations
18.
Richardson, Barbara C.. (1980). An overview of selected national-level energy/transportation mathematical models. Deep Blue (University of Michigan).2 indexed citations
19.
Richardson, Barbara C.. (1979). An inventory of selected mathematical models relating to the motor vehicle transportation system and associated literature. Deep Blue (University of Michigan).2 indexed citations
20.
Richardson, Barbara C.. (1979). Limitations on the use of mathematical models in transportation policy analysis. Deep Blue (University of Michigan).4 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.