J. David Porter

753 total citations
43 papers, 538 citations indexed

About

J. David Porter is a scholar working on Transportation, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, J. David Porter has authored 43 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Transportation, 9 papers in Electrical and Electronic Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in J. David Porter's work include Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (7 papers) and Urban Transport and Accessibility (5 papers). J. David Porter is often cited by papers focused on Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (7 papers) and Urban Transport and Accessibility (5 papers). J. David Porter collaborates with scholars based in United States, Mexico and South Korea. J. David Porter's co-authors include Toni Doolen, Richard E. Billo, Noa Segall, Marlin H. Mickle, Narcyz Roztocki, Kim LaScola Needy, Mario E. Magaña, Sejoon Park, Leopoldo Eduardo Cárdenas‐Barrón and David Kim and has published in prestigious journals such as Computers & Education, International Journal of Production Economics and Computers & Industrial Engineering.

In The Last Decade

J. David Porter

37 papers receiving 455 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. David Porter United States 13 161 86 69 68 61 43 538
Nafaâ Jabeur Oman 16 67 0.4× 84 1.0× 20 0.3× 27 0.4× 44 0.7× 66 690
Babis Magoutas Greece 13 133 0.8× 29 0.3× 54 0.8× 77 1.1× 77 1.3× 34 694
Virgilio Gilart-Iglesias Spain 14 82 0.5× 96 1.1× 78 1.1× 51 0.8× 92 1.5× 50 507
Kinga Stecuła Poland 12 48 0.3× 20 0.2× 42 0.6× 19 0.3× 32 0.5× 50 526
Dimitris Karampatzakis Greece 8 72 0.4× 48 0.6× 69 1.0× 18 0.3× 28 0.5× 33 458
Ksenia Shubenkova Russia 15 124 0.8× 65 0.8× 9 0.1× 16 0.2× 98 1.6× 64 546
Pantea Keikhosrokiani Malaysia 13 19 0.1× 111 1.3× 53 0.8× 56 0.8× 23 0.4× 53 673
Radovan Madleňák Slovakia 14 55 0.3× 66 0.8× 15 0.2× 26 0.4× 107 1.8× 69 494
Christopher A. Chung United States 12 42 0.3× 35 0.4× 72 1.0× 54 0.8× 118 1.9× 27 597
Rocío de la Torre Spain 10 52 0.3× 98 1.1× 10 0.1× 32 0.5× 72 1.2× 36 411

Countries citing papers authored by J. David Porter

Since Specialization
Citations

This map shows the geographic impact of J. David Porter'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 J. David Porter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. David Porter more than expected).

Fields of papers citing papers by J. David Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Porter. 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 J. David Porter. The network helps show where J. David Porter may publish in the future.

Co-authorship network of co-authors of J. David Porter

This figure shows the co-authorship network connecting the top 25 collaborators of J. David Porter. A scholar is included among the top collaborators of J. David Porter 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 J. David Porter. J. David Porter 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.
Porter, J. David, et al.. (2024). Modeling transit travel times for predicting equity improvements. Public Transport. 17(2). 565–590. 1 indexed citations
2.
Cárdenas‐Barrón, Leopoldo Eduardo, et al.. (2023). An Inventory Model for Growing Items When the Demand Is Price Sensitive with Imperfect Quality, Inspection Errors, Carbon Emissions, and Planned Backorders. Mathematics. 11(21). 4421–4421. 6 indexed citations
3.
Porter, J. David, et al.. (2022). Using General Transit Feed Specification-Ride to Identify Riders’ Use of Transfer Opportunities. Transportation Research Record Journal of the Transportation Research Board. 2676(6). 197–206. 1 indexed citations
4.
Porter, J. David, et al.. (2021). Strategic Route Planning to Manage Transit’s Susceptibility to Disease Transmission. Transportation Research Record Journal of the Transportation Research Board. 2675(8). 369–381. 1 indexed citations
5.
Porter, J. David, et al.. (2018). STATEWIDE DATA STANDARDS TO SUPPORT CURRENT AND FUTURE STRATEGIC PUBLIC TRANSIT INVESTMENT. 1 indexed citations
6.
Park, Sejoon, et al.. (2018). A cluster analysis approach for differentiating transportation modes using Bluetooth sensor data. Journal of Intelligent Transportation Systems. 22(4). 353–364. 11 indexed citations
7.
Porter, J. David, et al.. (2018). A comparative analysis of the challenges in measuring transit equity: definitions, interpretations, and limitations. Journal of Transport Geography. 72. 64–75. 74 indexed citations
8.
Flumerfelt, Shannon, Javier Calvo‐Amodio, & J. David Porter. (2017). Tapping the potential of sensemaking for performance management. Measuring Business Excellence. 21(3). 214–224. 2 indexed citations
9.
Porter, J. David, et al.. (2014). Bluetooth data collection system for planning and arterial management..
10.
Park, Sejoon, et al.. (2013). Improving Accuracy and Precision of Travel Time Samples Collected at Signalized Arterial Roads with Bluetooth Sensors. Transportation Research Record Journal of the Transportation Research Board. 2380(1). 90–98. 14 indexed citations
11.
Cárdenas‐Barrón, Leopoldo Eduardo & J. David Porter. (2013). Supply chain models for an assembly system with preprocessing of raw materials: A simple and better algorithm. Applied Mathematical Modelling. 37(14-15). 7883–7887. 17 indexed citations
12.
Porter, J. David, et al.. (2012). Wireless Data Collection System for Travel Time Estimation and Traffic Performance Evaluation. 61(7). 68–71. 10 indexed citations
13.
Porter, J. David, et al.. (2011). Antenna Characterization for Bluetooth-based Travel Time Data Collection. Transportation Research Board 90th Annual MeetingTransportation Research Board. 5 indexed citations
14.
Kim, David, et al.. (2010). Equipment Replacement at Departments of Transportation: Prioritization Measures, Software Tools, and Supplementary Data. Transportation Research Record Journal of the Transportation Research Board. 2150(1). 10–17. 2 indexed citations
15.
Porter, J. David, et al.. (2009). Fleet Replacement Modeling. 4 indexed citations
16.
Kim, David, et al.. (2008). Technology Evaluation of Oregon's Vehicle-Miles-Traveled Revenue Collection System. Transportation Research Record Journal of the Transportation Research Board. 2079(1). 37–44. 10 indexed citations
17.
Porter, J. David, et al.. (2008). An RFID-Enabled Road Pricing System for Transportation. IEEE Systems Journal. 2(2). 248–257. 15 indexed citations
18.
Porter, J. David, et al.. (2005). Development and Performance Evaluation of a Revenue Collection System Based on Vehicle Miles Traveled. Transportation Research Record Journal of the Transportation Research Board. 1932(1). 9–15.
19.
Porter, J. David, et al.. (2004). Architectures for integrating legacy information systems with modern bar code technology. Journal of Manufacturing Systems. 23(3). 256–265. 4 indexed citations
20.
Kralewski, John E., et al.. (1988). Profit vs. public welfare goals in investor-owned and not-for-profit hospitals.. PubMed. 33(3). 311–29. 14 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.

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