Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Machine learning approaches for estimating commercial building energy consumption
Countries citing papers authored by Ram M. Pendyala
Since
Specialization
Citations
This map shows the geographic impact of Ram M. Pendyala'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 Ram M. Pendyala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram M. Pendyala more than expected).
This network shows the impact of papers produced by Ram M. Pendyala. 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 Ram M. Pendyala. The network helps show where Ram M. Pendyala may publish in the future.
Co-authorship network of co-authors of Ram M. Pendyala
This figure shows the co-authorship network connecting the top 25 collaborators of Ram M. Pendyala.
A scholar is included among the top collaborators of Ram M. Pendyala 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 Ram M. Pendyala. Ram M. Pendyala is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Astroza, Sebastián, et al.. (2019). Do Attitudes Affect Behavioral Choices or Vice-Versa : Uncovering Latent Segments Within a Population. Transportation Research Board 98th Annual MeetingTransportation Research Board.3 indexed citations
9.
Pendyala, Ram M., Daehyun You, Venu Garikapati, Karthik C. Konduri, & Xuesong Zhou. (2017). Paradigms for Integrated Modeling of Activity-Travel Demand and Network Dynamics in an Era of Dynamic Mobility Management. Transportation Research Board 96th Annual MeetingTransportation Research Board.6 indexed citations
10.
Bhat, Chandra R., et al.. (2015). A Latent-Segmentation Based Approach to Investigating the Spatial Transferability of Activity-Travel Models. Texas ScholarWorks (Texas Digital Library).1 indexed citations
11.
Outwater, Maren, Mark Bradley, Chandra R. Bhat, et al.. (2015). Tour-Based National Model System to Forecast Long-Distance Passenger Travel in the United States. Transportation Research Board 94th Annual MeetingTransportation Research Board.11 indexed citations
12.
Pendyala, Ram M., et al.. (2014). Exploring the Characteristics of Short Trips: Implications for Walk Mode Choice. Transportation Research Board 93rd Annual MeetingTransportation Research Board.2 indexed citations
13.
Goulias, Konstadinos G., et al.. (2014). Using Synthetic Population Generation to Replace Sample and Expansion Weights in Household Surveys for Small Area Estimation of Population Parameters. Transportation Research Board 93rd Annual MeetingTransportation Research Board.
14.
Konduri, Karthik C., Ram M. Pendyala, Daehyun You, et al.. (2013). Network-Sensitive Transport Modeling Framework for Evaluating Impacts of Network Disruptions on Traveler Choices Under Varying Levels of User Information Provision. Transportation Research Board 92nd Annual MeetingTransportation Research Board.1 indexed citations
15.
Bhat, Chandra R., et al.. (2012). A Household-Level Activity Pattern Generation Model for the Simulator of Activities, Greenhouse Emissions, Networks, and Travel (SimAGENT) System in Southern California. Transportation Research Board 91st Annual MeetingTransportation Research Board.10 indexed citations
16.
Pendyala, Ram M., et al.. (2012). The Application of a Microsimulation Model System to the Analysis of a Light-Rail Corridor: Insights from a TRANSIMS Deployment. Transportation Research Board 91st Annual MeetingTransportation Research Board.4 indexed citations
17.
Ye, Xin, Karthik C. Konduri, Ram M. Pendyala, Bhargava Sana, & Paul Waddell. (2009). Methodology to Match Distributions of Both Household and Person Attributes in Generation of Synthetic Populations. Transportation Research Board 88th Annual MeetingTransportation Research Board.95 indexed citations
18.
Spissu, Erika, Abdul Rawoof Pinjari, Chandra R. Bhat, Ram M. Pendyala, & Kay W. Axhausen. (2008). Analysis of Weekly Out-of-Home Discretionary Activity Participation and Time Use Behavior. Texas ScholarWorks (Texas Digital Library).2 indexed citations
19.
Pendyala, Ram M., et al.. (2007). Relationships Between Work and Nonwork Activity and Travel Durations in a Developing Country Context. Transportation Research Board 86th Annual MeetingTransportation Research Board.2 indexed citations
20.
Kitamura, Ryuichi, Patricia L. Mokhtarian, Ram M. Pendyala, & Konstadinos G. Goulias. (1991). An Evaluation of Telecommuting As a Trip Reduction Measure. eScholarship (California Digital Library).15 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.