Countries citing papers authored by Jaimyoung Kwon
Since
Specialization
Citations
This map shows the geographic impact of Jaimyoung Kwon'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 Jaimyoung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaimyoung Kwon more than expected).
This network shows the impact of papers produced by Jaimyoung Kwon. 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 Jaimyoung Kwon. The network helps show where Jaimyoung Kwon may publish in the future.
Co-authorship network of co-authors of Jaimyoung Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Jaimyoung Kwon.
A scholar is included among the top collaborators of Jaimyoung Kwon 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 Jaimyoung Kwon. Jaimyoung Kwon 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.
Hranac, Rob, et al.. (2011). Using Marey Graphs to Visualize Transit Loading and Schedule Adherence. Transportation Research Board 90th Annual MeetingTransportation Research Board.3 indexed citations
Kwon, Jaimyoung & Karl Petty. (2010). Vehicle Re-identification Using Weigh-in-Motion Data for Truck Travel Time Measurement and Sensor Calibration.3 indexed citations
Dervisoglu, Gunes, Gabriel Gomes, & Jaimyoung Kwon. (2009). Automatic Calibration of the Fundamental Diagram and Empirical Observations on Capacity. Transportation Research Board 88th Annual MeetingTransportation Research Board.113 indexed citations
6.
Kwon, Jaimyoung, et al.. (2008). Empirical Modeling of the Effect of Incidents on Congestion and Travel Time Prediction: Case Study of Attica Tollway in Athens, Greece. Transportation Research Board 87th Annual MeetingTransportation Research Board.1 indexed citations
7.
Kwon, Jaimyoung, et al.. (2008). Automatic Method for Imputing and Balancing Link Traffic Counts. Transportation Research Board 87th Annual MeetingTransportation Research Board.4 indexed citations
8.
Kwon, Jaimyoung, et al.. (2007). Evaluation of PeMS to Improve the Congestion Monitoring Program. RePEc: Research Papers in Economics.13 indexed citations
9.
Gomes, Gabriel, Roberto Horowitz, Alex A. Kurzhanskiy, Pravin Varaiya, & Jaimyoung Kwon. (2007). Congestion in the ACTM model. 1772–1779.1 indexed citations
10.
Bickel, Peter J., Chao Chen, Jaimyoung Kwon, et al.. (2007). Measuring Traffic. Statistical Science. 22(4).48 indexed citations
Kwon, Jaimyoung, Michael Mauch, & Pravin Varaiya. (2006). Components of Congestion. Transportation Research Record Journal of the Transportation Research Board. 1959(1). 84–91.36 indexed citations
Chen, Chao, Jaimyoung Kwon, John Rice, Alexander Skabardonis, & Pravin Varaiya. (2003). DETECTING ERRORS AND IMPUTING MISSING DATA FOR SINGLE LOOP SURVEILLANCE SYSTEMS.10 indexed citations
17.
Kwon, Jaimyoung, Pravin Varaiya, & Alexander Skabardonis. (2003). ESTIMATION OF TRUCK TRAFFIC VOLUME FROM SINGLE LOOP DETECTOR USING LANE-TO-LANE SPEED CORRELATION.11 indexed citations
Bickel, Peter J. & Jaimyoung Kwon. (2001). INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER.90 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.