Federico Rupi

921 total citations
41 papers, 655 citations indexed

About

Federico Rupi is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Federico Rupi has authored 41 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Transportation, 14 papers in Automotive Engineering and 12 papers in Building and Construction. Recurrent topics in Federico Rupi's work include Transportation Planning and Optimization (28 papers), Urban Transport and Accessibility (22 papers) and Traffic Prediction and Management Techniques (9 papers). Federico Rupi is often cited by papers focused on Transportation Planning and Optimization (28 papers), Urban Transport and Accessibility (22 papers) and Traffic Prediction and Management Techniques (9 papers). Federico Rupi collaborates with scholars based in Italy, United States and Lithuania. Federico Rupi's co-authors include Joerg Schweizer, Silvia Bernardi, Žaneta Stasiškienė, Kevin J. Krizek, Guido Rossi, Maria Nadia Postorino, Domokos Esztergár‐Kiss, Cristina Tortora, Silvio Nocera and Andrea Simone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Transport Policy.

In The Last Decade

Federico Rupi

40 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Rupi Italy 17 440 149 134 111 81 41 655
Hussain Hamid Malaysia 16 349 0.8× 127 0.9× 197 1.5× 208 1.9× 56 0.7× 44 779
Gregorio Gecchele Italy 17 207 0.5× 169 1.1× 241 1.8× 217 2.0× 81 1.0× 34 658
Nicholas Lownes United States 15 491 1.1× 254 1.7× 217 1.6× 137 1.2× 32 0.4× 64 811
Bahar Dadashova United States 16 255 0.6× 234 1.6× 181 1.4× 416 3.7× 103 1.3× 58 724
Imran Reza Saudi Arabia 12 170 0.4× 135 0.9× 91 0.7× 92 0.8× 29 0.4× 20 471
Vinod Vasudevan India 13 263 0.6× 101 0.7× 75 0.6× 243 2.2× 54 0.7× 45 478
Thaned Satiennam Thailand 17 336 0.8× 255 1.7× 115 0.9× 258 2.3× 46 0.6× 45 716
Reuben Tamakloe South Korea 14 281 0.6× 114 0.8× 177 1.3× 382 3.4× 78 1.0× 41 673
Kazimierz Jamroz Poland 15 245 0.6× 149 1.0× 110 0.8× 259 2.3× 63 0.8× 109 701
Brendan J. Russo United States 12 254 0.6× 126 0.8× 111 0.8× 431 3.9× 100 1.2× 47 625

Countries citing papers authored by Federico Rupi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Rupi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Rupi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Rupi. A scholar is included among the top collaborators of Federico Rupi 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 Federico Rupi. Federico Rupi 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.
Wenzel, Tom, et al.. (2023). Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection. ISPRS International Journal of Geo-Information. 12(4). 177–177. 5 indexed citations
2.
Rupi, Federico, et al.. (2023). Analysis of gender-specific bicycle route choices using revealed preference surveys based on GPS traces. Transport Policy. 133. 1–14. 16 indexed citations
3.
Tortora, Cristina, et al.. (2022). Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies. ISPRS International Journal of Geo-Information. 11(3). 169–169. 1 indexed citations
4.
Rupi, Federico, et al.. (2022). Cyclist’s waiting time estimation at intersections, a case study with GPS traces from Bologna. Transportation research procedia. 62. 325–332. 9 indexed citations
5.
Rupi, Federico, et al.. (2021). An Integrative Review of Socio-Technical Factors Influencing Travel Decision-Making and Urban Transport Performance. Sustainability. 13(18). 10158–10158. 18 indexed citations
6.
Schweizer, Joerg, et al.. (2021). Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data. ISPRS International Journal of Geo-Information. 10(3). 165–165. 29 indexed citations
7.
Rupi, Federico, et al.. (2019). A Macroscopic analysis of transport networks: The influence of network design on urban transportation performance. International Journal of Transport Development and Integration. 3(4). 331–343. 13 indexed citations
8.
Rupi, Federico, et al.. (2019). Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone. ISPRS International Journal of Geo-Information. 8(8). 322–322. 39 indexed citations
9.
Schweizer, Joerg, et al.. (2019). Updated Models of Passenger Transport Related Energy Consumption of Urban Areas. Sustainability. 11(15). 4060–4060. 24 indexed citations
10.
Bigazzi, Alexander, et al.. (2018). Appearance and behaviour: Are cyclist physical attributes reflective of their preferences and habits?. Travel Behaviour and Society. 13. 36–43. 4 indexed citations
11.
Schweizer, Joerg, et al.. (2018). Generating activity based, multi-modal travel demand for SUMO. EPiC series in engineering. 2. 118–101. 7 indexed citations
12.
Rupi, Federico & Joerg Schweizer. (2018). Evaluating cyclist patterns using GPS data from smartphones. IET Intelligent Transport Systems. 12(4). 279–285. 24 indexed citations
13.
Rossi, Riccardo, et al.. (2017). Fitting time headway and speed distributions for bicycles on separate bicycle lanes. Transportation research procedia. 27. 19–26. 4 indexed citations
14.
Bernardi, Silvia, et al.. (2016). Cyclist gaze behavior in urban space: An eye-tracking experiment on the bicycle network of Bologna. Case Studies on Transport Policy. 5(2). 408–416. 59 indexed citations
15.
Schweizer, Joerg, Silvia Bernardi, & Federico Rupi. (2016). Map‐matching algorithm applied to bicycle global positioning system traces in Bologna. IET Intelligent Transport Systems. 10(4). 244–250. 20 indexed citations
16.
Schweizer, Joerg & Federico Rupi. (2014). Performance Evaluation of Extreme Bicycle Scenarios. Procedia - Social and Behavioral Sciences. 111. 508–517. 14 indexed citations
17.
Rupi, Federico, et al.. (2014). The Evaluation of Road Network Vulnerability in Mountainous Areas: A Case Study. Networks and Spatial Economics. 15(2). 397–411. 52 indexed citations
18.
Schweizer, Joerg, et al.. (2012). Comparison of static vehicle flow assignment methods and microsimulations for a personal rapid transit network. Journal of Advanced Transportation. 46(4). 340–350. 13 indexed citations
19.
Rupi, Federico, et al.. (2009). Comparison of static vehicle flow assignment methods and micro-simulations for a Personal Rapid Transit network. 2 indexed citations
20.
Rupi, Federico, et al.. (2004). Econometric Models for the Italian Railway Transportation Demand. Modelli econometrici per la domanda di trasporto ferroviario italiana.. CINECA IRIS Institutial research information system (University of Pisa). 3(3). 237–245.

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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