L. Ingolotti
Impact in
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- Railway Systems and Energy Efficiency
- Maritime Ports and Logistics
- Vehicle Routing Optimization Methods
- Transportation top 2%
- Transportation Planning and Optimization
Papers in
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- Railway Systems and Energy Efficiency 6
- Vehicle Routing Optimization Methods 3
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- Railway Engineering and Dynamics 4
- Co-authors
- Miguel Á. Salido (9 shared papers)Federico Barber (9 shared papers)M. Abril (5 shared papers)Pilar Tormos (5 shared papers)A. Lova (5 shared papers)María R. Sierra (1 shared paper)Jorge Puente (1 shared paper)
- Journals
- Transportation Research Part E Logistics and Transportation Review (1 paper)Knowledge-Based Systems (1 paper)Expert Systems with Applications (1 paper)WIT transactions on the built environment (2 papers)Progress in Artificial Intelligence (1 paper)
- Partner nations
- Spain
In The Last Decade
L. Ingolotti
9 papers receiving 381 citations
Peers
Comparison fields: 5 of 39
- Industrial and Manufacturing Engineering 372
- Transportation 251
- Mechanical Engineering 176
- Building and Construction 50
- Strategy and Management 47
Countries citing papers authored by L. Ingolotti
This map shows the geographic impact of L. Ingolotti'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 L. Ingolotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Ingolotti more than expected).
Fields of papers citing papers by L. Ingolotti
This network shows the impact of papers produced by L. Ingolotti. 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 L. Ingolotti. The network helps show where L. Ingolotti may publish in the future.
Co-authors
The 7 scholars most cited alongside L. Ingolotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 259 | |
| 2 | 2008 | 41 | |
| 3 | 2014 | 40 | |
| 4 | 2012 | 36 | |
| 5 | 2006 | 25 | |
| 6 | A Heuristic Technique for the Capacity Assessment of Periodic Trains | 2005 | 6 |
| 7 | 2006 | 4 | |
| 8 | 2006 | 4 | |
| 9 | An Interactive Train Scheduling Tool for Solving and Plotting Running Maps | 2004 | 1 |
About L. Ingolotti
L. Ingolotti is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Transportation, Computer Networks and Communications and Strategy and Management, having authored 9 papers that have together received 416 indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (6 papers), Railway Engineering and Dynamics (4 papers), Vehicle Routing Optimization Methods (3 papers), Transportation Planning and Optimization (3 papers), Hermeneutics and Narrative Identity (1 paper), Aviation Industry Analysis and Trends (1 paper), Transport and Economic Policies (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (372 citations), Transportation (251 citations), Mechanical Engineering (176 citations), Building and Construction (50 citations) and Strategy and Management (47 citations). L. Ingolotti has collaborated with scholars based in Spain. Frequent co-authors include Miguel Á. Salido, Federico Barber, M. Abril, Pilar Tormos, A. Lova, María R. Sierra and Jorge Puente. Their work appears in journals such as Transportation Research Part E Logistics and Transportation Review, Knowledge-Based Systems, Expert Systems with Applications, WIT transactions on the built environment and Progress in Artificial Intelligence.
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.