This map shows the geographic impact of Anant Vyas'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 Anant Vyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anant Vyas more than expected).
This network shows the impact of papers produced by Anant Vyas. 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 Anant Vyas. The network helps show where Anant Vyas may publish in the future.
Co-authorship network of co-authors of Anant Vyas
This figure shows the co-authorship network connecting the top 25 collaborators of Anant Vyas.
A scholar is included among the top collaborators of Anant Vyas 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 Anant Vyas. Anant Vyas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Vyas, Anant, et al.. (2017). Clinicopathological Profile of Benign Breast Disease at a Tertiary Care Hospital in Western Rajasthan. IJAR - Indian Journal of Applied Research.
2.
Stephens, Thomas, Yan Zhou, Amgad Elgowainy, et al.. (2013). Estimating On-Road Fuel Economy of PHEVs from Test and Aggregated Data. Transportation Research Board 92nd Annual MeetingTransportation Research Board.2 indexed citations
3.
Santini, D.J., Yan Zhou, Namdoo Kim, Kevin G. Gallagher, & Anant Vyas. (2013). Plug-In Electric Cars for Work Travel. Transportation Research Record Journal of the Transportation Research Board. 2385(1). 53–60.1 indexed citations
Santini, D.J., et al.. (2011). Where Are the Market Niches for Electric Drive Passenger Cars. Transportation Research Board 90th Annual MeetingTransportation Research Board.3 indexed citations
Arora, Salil, Anant Vyas, & Larry R. Johnson. (2010). Oil Demand and Co2 Emissions in India by 2040 Due to the Increase in Highway Vehicles: The Impact of Business-as-Usual Growth. Transportation Research Board 89th Annual MeetingTransportation Research Board.3 indexed citations
Boyd, Gale, Marianne Mintz, Ki Young Park, & Anant Vyas. (2006). Modal Choice in Product Shipments: Analysis of Nonpublic Census Microdata. Transportation research circular.
12.
Vyas, Anant & D.J. Santini. (2006). Hybrid and Diesel Powertrains: Further Analysis of Their Status in Technology Adoption Life-Cycle. Transportation Research Board 85th Annual MeetingTransportation Research Board.3 indexed citations
Gaines, Linda, Anant Vyas, & John L. Anderson. (2006). Estimation of Fuel Use by Idling Commercial Trucks. Transportation Research Record Journal of the Transportation Research Board. 1983(1). 91–98.20 indexed citations
Mintz, Marianne, et al.. (1987). Transportation energy outlook under conditions of persistently low petroleum prices. Transportation Research Record Journal of the Transportation Research Board.2 indexed citations
18.
Morrison, Robert F., et al.. (1986). TRAVEL CHARACTERISTICS AND TRANSPORTATION ENERGY CONSUMPTION PATTERNS OF MINORITY AND POOR HOUSEHOLDS. Transportation Research Record Journal of the Transportation Research Board.2 indexed citations
19.
Vyas, Anant, et al.. (1984). SKETCH-PLANNING MODEL FOR URBAN TRANSPORTATION POLICY ANALYSIS. Transportation Research Record Journal of the Transportation Research Board.4 indexed citations
20.
Vyas, Anant, et al.. (1982). FORECASTS OF INTERCITY PASSENGER DEMAND AND ENERGY USE THROUGH 2000. Transportation Research Record Journal of the Transportation Research Board.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.