Marialisa Nigro

1.8k total citations
80 papers, 1.3k citations indexed

About

Marialisa Nigro is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Marialisa Nigro has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Transportation, 33 papers in Automotive Engineering and 32 papers in Building and Construction. Recurrent topics in Marialisa Nigro's work include Transportation Planning and Optimization (51 papers), Traffic control and management (26 papers) and Urban Transport and Accessibility (23 papers). Marialisa Nigro is often cited by papers focused on Transportation Planning and Optimization (51 papers), Traffic control and management (26 papers) and Urban Transport and Accessibility (23 papers). Marialisa Nigro collaborates with scholars based in Italy, Luxembourg and Germany. Marialisa Nigro's co-authors include Ernesto Cipriani, Valerio Gatta, Edoardo Marcucci, Simone Serafini, Stefano Carrese, Sergio Maria Patella, Marco Petrelli, Stefano Gori, Livia Mannini and Guido Cantelmo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Marialisa Nigro

76 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marialisa Nigro Italy 19 874 757 523 241 168 80 1.3k
Lin Cheng China 19 1.0k 1.1× 316 0.4× 547 1.0× 263 1.1× 67 0.4× 133 1.3k
Stefano Carrese Italy 16 421 0.5× 276 0.4× 428 0.8× 109 0.5× 110 0.7× 53 872
Konstantinos Gkiotsalitis Netherlands 21 1.1k 1.2× 298 0.4× 740 1.4× 274 1.1× 226 1.3× 90 1.5k
Giuseppe Musolino Italy 25 662 0.8× 465 0.6× 380 0.7× 223 0.9× 293 1.7× 81 1.2k
Michele Ottomanelli Italy 22 870 1.0× 515 0.7× 615 1.2× 81 0.3× 250 1.5× 73 1.5k
Jane Lin United States 17 360 0.4× 480 0.6× 652 1.2× 80 0.3× 297 1.8× 40 1.0k
Luca Quadrifoglio United States 19 1.2k 1.4× 537 0.7× 1.1k 2.1× 261 1.1× 249 1.5× 58 1.5k
Carlos Lima Azevedo Denmark 21 756 0.9× 337 0.4× 654 1.3× 257 1.1× 42 0.3× 66 1.2k
Leonardo Caggiani Italy 20 810 0.9× 452 0.6× 598 1.1× 46 0.2× 214 1.3× 50 1.3k
Tomio Miwa Japan 20 869 1.0× 393 0.5× 475 0.9× 280 1.2× 39 0.2× 122 1.3k

Countries citing papers authored by Marialisa Nigro

Since Specialization
Citations

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

Fields of papers citing papers by Marialisa Nigro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marialisa Nigro

This figure shows the co-authorship network connecting the top 25 collaborators of Marialisa Nigro. A scholar is included among the top collaborators of Marialisa Nigro 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 Marialisa Nigro. Marialisa Nigro 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.
2.
Carrese, Stefano, et al.. (2025). And then there were three: GIS-based analysis of the new three-operator-only e-scooter sharing system of Rome, Italy. Transportation research procedia. 90. 846–853. 1 indexed citations
3.
Nigro, Marialisa, et al.. (2024). The Port Sector in Italy: Its Keystones for Energy-Efficient Growth. Energies. 17(7). 1788–1788. 5 indexed citations
4.
Karagulian, Federico, et al.. (2023). Pedestrian analysis for crowd monitoring: the Milan case study (Italy). Iris (Roma Tre University). 1–6. 2 indexed citations
5.
Karagulian, Federico, et al.. (2023). Pedestrian Flows Characterization and Estimation with Computer Vision Techniques. SHILAP Revista de lepidopterología. 7(2). 65–65. 3 indexed citations
6.
Cantelmo, Guido, et al.. (2023). Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information. Algorithms. 16(7). 351–351.
7.
Karagulian, Federico, et al.. (2022). A Data-Driven Approach to Analyze Mobility Patterns and the Built Environment: Evidence from Brescia, Catania, and Salerno (Italy). Sustainability. 14(21). 14378–14378. 2 indexed citations
8.
Nigro, Marialisa, et al.. (2021). Data Driven Approaches for Sustainable Development of E-Mobility in Urban Areas. Energies. 14(13). 3949–3949. 16 indexed citations
9.
Nigro, Marialisa, et al.. (2020). Simulation framework for pedestrian dynamics: modelling and calibration. IET Intelligent Transport Systems. 14(9). 1048–1057. 8 indexed citations
10.
Gatta, Valerio, Edoardo Marcucci, Marialisa Nigro, Sergio Maria Patella, & Simone Serafini. (2018). Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts. Sustainability. 11(1). 145–145. 130 indexed citations
11.
Cipriani, Ernesto, et al.. (2018). Congestion pricing policies: Design and assessment for the city of Rome, Italy. Transport Policy. 80. 127–135. 46 indexed citations
12.
Nigro, Marialisa, Livia Mannini, & Ernesto Cipriani. (2016). A Local Ensemble Transformed Kalman Filter for the On-Line Estimation and Prediction of Dynamic Demand Matrices. Transportation Research Board 95th Annual MeetingTransportation Research Board. 1 indexed citations
13.
Cantelmo, Guido, Francesco Viti, Ernesto Cipriani, & Marialisa Nigro. (2015). IMPROVING THE RELIABILITY OF A TWO-STEPS DYNAMIC DEMAND ESTIMATION APPROACH BY SEQUENTIALLY ADJUSTING GENERATIONS AND DISTRIBUTIONS. Open Repository and Bibliography (University of Luxembourg). 8 indexed citations
14.
Nigro, Marialisa, et al.. (2015). The Influence of Assignment Criteria for the Solution of Dynamic Travel Demand Estimation. Transportation research procedia. 10. 850–859. 1 indexed citations
15.
Cantelmo, Guido, Francesco Viti, Chris Tampère, Ernesto Cipriani, & Marialisa Nigro. (2014). Two-Step Approach for Correction of Seed Matrix in Dynamic Demand Estimation. Transportation Research Record Journal of the Transportation Research Board. 2466(1). 125–133. 24 indexed citations
16.
Gori, Stefano, et al.. (2014). Emission dynamic meso‐simulation model to evaluate traffic strategies in congested urban networks. IET Intelligent Transport Systems. 9(3). 333–342. 9 indexed citations
17.
Gori, Stefano, et al.. (2012). An Emission Dynamic Meso-simulation Model to Evaluate Traffic Strategies in a Wide Urban Network. Iris (Roma Tre University). 1 indexed citations
18.
Gori, Stefano, Marialisa Nigro, & Marco Petrelli. (2012). The impact of land use characteristics for sustainable mobility: the case study of Rome. European Transport Research Review. 4(3). 153–166. 25 indexed citations
19.
Carrese, Stefano, et al.. (2011). Safety and Security Plans for Road Freight Transport: An Application to Heavy Goods Vehicles Parking Areas in Lazio Region, Italy. Transportation Research Board 90th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Gori, Stefano, Marialisa Nigro, & Marco Petrelli. (2010). Land Use Characteristics for Sustainable Urban Mobility. Iris (Roma Tre University).

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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