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.
Some traffic features at freeway bottlenecks
1999442 citationsRobert L. Bertini et al.profile →
Peers — A (Enhanced Table)
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Countries citing papers authored by Robert L. Bertini
Since
Specialization
Citations
This map shows the geographic impact of Robert L. Bertini'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 Robert L. Bertini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Bertini more than expected).
Fields of papers citing papers by Robert L. Bertini
This network shows the impact of papers produced by Robert L. Bertini. 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 Robert L. Bertini. The network helps show where Robert L. Bertini may publish in the future.
Co-authorship network of co-authors of Robert L. Bertini
This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Bertini.
A scholar is included among the top collaborators of Robert L. Bertini 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 Robert L. Bertini. Robert L. Bertini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bertini, Robert L., et al.. (2017). Exploring Reliability Metrics as Arterial Performance Thresholds Using High Resolution Bluetooth Travel Time Data. Transportation Research Board 96th Annual MeetingTransportation Research Board.1 indexed citations
4.
Bertini, Robert L., et al.. (2016). Toward Assessing State Department of Transportation Readiness for Connected Vehicle/Cooperative System Deployment Scenarios: An Oregon Case Study.1 indexed citations
5.
Huber, Gerhard, Klaus Bogenberger, & Robert L. Bertini. (2014). New Methods for Quality Assessment of Real Time Traffic Information. Transportation Research Board 93rd Annual MeetingTransportation Research Board.6 indexed citations
6.
Bertini, Robert L.. (2011). Transportation: Design, Build, and Manage the Future for America.. Community college journal. 81(3). 33–34.2 indexed citations
7.
Saberi, Meead & Robert L. Bertini. (2010). Beyond Corridor Reliability Measures: Analysis of Freeway Travel Time Reliability at the Segment Level for Hot Spot Identification. Transportation Research Board 89th Annual MeetingTransportation Research Board. 1–13.18 indexed citations
8.
Saberi, Meead & Robert L. Bertini. (2010). Empirical Analysis of the Effects of Rain on Measured Freeway Traffic Parameters. Transportation Research Board 89th Annual MeetingTransportation Research Board. 1–15.15 indexed citations
9.
Lovell, David J. & Robert L. Bertini. (2008). Developing an Optimal Sensing Strategy for Accurate Freeway Travel Time Estimation and Traveler Information. Transportation Research Board 87th Annual MeetingTransportation Research Board.1 indexed citations
10.
Li, Huan, Baohua Mao, & Robert L. Bertini. (2008). Evaluating Impacts of Bus Facility Design Features on Transit Operations in Beijing, China: Simulation Approach. Transportation Research Board 87th Annual MeetingTransportation Research Board.3 indexed citations
11.
Welch, Timothy J., et al.. (2007). Implementing a User-Oriented Web-Based Traffic Data Management and Archive System. Transportation Research Board 86th Annual MeetingTransportation Research Board.1 indexed citations
12.
Kothuri, Sirisha, Kristin Tufte, Soyoung Ahn, & Robert L. Bertini. (2007). Using Archived ITS Data to Generate Improved Freeway Travel Time Estimates. Transportation Research Board 86th Annual MeetingTransportation Research Board.3 indexed citations
13.
Bertini, Robert L.. (2006). You Are the Traffic Jam: Examination of Congestion Measures. Transportation Research Board 85th Annual MeetingTransportation Research Board.26 indexed citations
14.
Bertini, Robert L., et al.. (2005). PORTAL: Implementing a New Generation Archived Data User Service in Portland, Oregon.6 indexed citations
15.
Bertini, Robert L., et al.. (2005). Impact of Driver Information System on Traffic Dynamics on a German Autobahn: Lessons for U.S. Applications.
16.
Bertini, Robert L. & Ahmed El-Geneidy. (2003). Using archived data to generate transit performance measures. eScholarship@McGill (McGill).21 indexed citations
17.
Malik, S., Robert L. Bertini, & Christopher Monsere. (2003). CRASH DATA REPORTING AND ANALYSIS - AN OREGON CASE STUDY.2 indexed citations
18.
Bertini, Robert L., et al.. (2002). ANALYSIS OF OREGON'S RURAL INCIDENT RESPONSE PROGRAM USING ARCHIVED INTELLIGENT TRANSPORTATION SYSTEMS DATA.1 indexed citations
19.
Coifman, Benjamin & Robert L. Bertini. (1997). Median Light Rail Crossings: Accident Causation and Countermeasures.1 indexed citations
20.
Daganzo, Carlos F., Mark Cassidy, & Robert L. Bertini. (1997). Causes And Effects Of Phase Transitions In Highway Traffic. eScholarship (California Digital Library).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.