Andrew Nash

861 total citations
58 papers, 620 citations indexed

About

Andrew Nash is a scholar working on Transportation, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Andrew Nash has authored 58 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Transportation, 21 papers in Industrial and Manufacturing Engineering and 15 papers in Automotive Engineering. Recurrent topics in Andrew Nash's work include Transportation Planning and Optimization (27 papers), Railway Systems and Energy Efficiency (18 papers) and Transportation and Mobility Innovations (13 papers). Andrew Nash is often cited by papers focused on Transportation Planning and Optimization (27 papers), Railway Systems and Energy Efficiency (18 papers) and Transportation and Mobility Innovations (13 papers). Andrew Nash collaborates with scholars based in Switzerland, Austria and United States. Andrew Nash's co-authors include Ulrich Weidmann, Jennifer Pierce, Juan de Oña, Francisco Calvo, Felix Laube, G. P. T. Lancaster, Peter G. Furth, Alan K. Betts, John Harney and Raghul Gunasekaran and has published in prestigious journals such as Climatic Change, Energies and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Andrew Nash

55 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Nash Switzerland 14 398 255 133 116 100 58 620
Erfan Hassannayebi Iran 19 464 1.2× 496 1.9× 155 1.2× 205 1.8× 99 1.0× 42 815
Francisco A. Ortega Spain 14 430 1.1× 286 1.1× 158 1.2× 59 0.5× 214 2.1× 35 655
Zhibin Jiang China 12 252 0.6× 177 0.7× 156 1.2× 65 0.6× 53 0.5× 39 409
Johanna Törnquist Sweden 8 402 1.0× 547 2.1× 119 0.9× 251 2.2× 81 0.8× 13 709
C. Michael Walton United States 15 399 1.0× 223 0.9× 362 2.7× 102 0.9× 157 1.6× 172 937
Jin Qin China 15 164 0.4× 164 0.6× 97 0.7× 60 0.5× 49 0.5× 55 486
Yusin Lee Taiwan 14 163 0.4× 609 2.4× 211 1.6× 103 0.9× 42 0.4× 24 855
Peter Zwaneveld Netherlands 9 399 1.0× 447 1.8× 82 0.6× 186 1.6× 97 1.0× 23 624
Gábor Maróti Netherlands 15 761 1.9× 809 3.2× 171 1.3× 300 2.6× 223 2.2× 37 1.1k
Xiaoning Zhu China 20 694 1.7× 923 3.6× 332 2.5× 252 2.2× 206 2.1× 85 1.2k

Countries citing papers authored by Andrew Nash

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Nash. 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 Andrew Nash. The network helps show where Andrew Nash may publish in the future.

Co-authorship network of co-authors of Andrew Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Nash. A scholar is included among the top collaborators of Andrew Nash 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 Andrew Nash. Andrew Nash 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.
Nash, Andrew, et al.. (2023). The Effectiveness of Distributed Acoustic Sensing (DAS) for Broken Rail Detection. Energies. 16(1). 522–522. 15 indexed citations
2.
Nash, Andrew, et al.. (2022). Multiobjective Timetable Development Tool for Railway Strategic Planning in Norway. Transportation Research Record Journal of the Transportation Research Board. 2677(1). 720–729. 2 indexed citations
3.
Nash, Andrew, et al.. (2020). Reducing Delays on High-Density Railway Lines: London–Shenfield Case Study. Transportation Research Record Journal of the Transportation Research Board. 2674(7). 193–205. 6 indexed citations
4.
Nash, Andrew. (2017). How Crowdsourcing Can Help Public Transport Innovate Successfully in an Era of Rapid Change. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
5.
Weidmann, Ulrich, et al.. (2017). What’s a Bus? Defining Buses and Trains in the Age of Automation. Transportation Research Board 96th Annual MeetingTransportation Research Board. 17–1323. 1 indexed citations
6.
Weidmann, Ulrich, et al.. (2016). An Evaluation of Freight Train Energy Saving Potential Using Onboard Monitoring Data. Transportation Research Board 95th Annual MeetingTransportation Research Board. 16–2791. 1 indexed citations
7.
Vazhkudai, Sudharshan S., John Harney, Raghul Gunasekaran, et al.. (2016). Constellation: A science graph network for scalable data and knowledge discovery in extreme-scale scientific collaborations. 9. 3052–3061. 8 indexed citations
8.
Saeednia, Mahnam, et al.. (2015). Strategies for Increasing the Energy Efficiency of Rail Freight Service in Switzerland. Transportation Research Board 94th Annual MeetingTransportation Research Board. 15–1774. 1 indexed citations
9.
Laumanns, Marco, et al.. (2013). Hierarchical Decomposition Methods for Periodic Railway Timetabling Problems. Transportation Research Record Journal of the Transportation Research Board. 2374(1). 73–82. 5 indexed citations
10.
Calvo, Francisco, et al.. (2013). Light Rail Transit Experience in Madrid, Spain. Transportation Research Record Journal of the Transportation Research Board. 2353(1). 82–91. 10 indexed citations
11.
Nash, Andrew. (2012). GreenCityStreets.com – Using ITS to Improve Transport Planning. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 1 indexed citations
12.
Moll, Stephan, Ulrich Weidmann, & Andrew Nash. (2012). Methodological Framework for Analyzing Ability of Freight Rail Customers to Forecast Short-Term Volumes Accurately. Transportation Research Record Journal of the Transportation Research Board. 2289(1). 126–133.
13.
Nash, Andrew. (2010). Web 2.0 Applications for Improving Public Participation in Transport Planning. Transportation Research Board 89th Annual MeetingTransportation Research Board. 9 indexed citations
14.
Weidmann, Ulrich, et al.. (2007). Strategies for Increasing Intermodal Freight Transport Between Eastern and Western Europe. 9 indexed citations
15.
Nash, Andrew, et al.. (2004). RAILML - A STANDARD DATA INTERFACE FOR RAILROAD APPLICATIONS. WIT transactions on the built environment. 74. 33 indexed citations
16.
Nash, Andrew, et al.. (2004). Railroad simulation using OpenTrack. WIT transactions on the built environment. 74. 134 indexed citations
17.
Nash, Andrew, et al.. (2004). Optimizing railway timetables with OpenTimeTable. WIT transactions on the built environment. 74. 8 indexed citations
18.
Nash, Andrew. (1999). Caltrain Rapid Rail Plan. Transportation Research Record Journal of the Transportation Research Board. 1677(1). 31–39. 1 indexed citations
19.
Nash, Andrew. (1992). CALIFORNIA'S CONGESTION MANAGEMENT PROGRAM. ITE journal. 62(2). 4 indexed citations
20.
Nash, Andrew, et al.. (1982). An introduction to microcomputers in teaching. Medical Entomology and Zoology. 3 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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