Federico Barber
Impact in
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- Scheduling and Optimization Algorithms
- Railway Systems and Energy Efficiency
- Maritime Ports and Logistics
- Advanced Manufacturing and Logistics Optimization
- Vehicle Routing Optimization Methods
- Transportation top 2%
- Transportation Planning and Optimization
Papers in
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- Scheduling and Optimization Algorithms 21
- Maritime Ports and Logistics 12
- Vehicle Routing Optimization Methods 10
- Advanced Manufacturing and Logistics Optimization 9
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- Constraint Satisfaction and Optimization 32
- Co-authors
- Miguel Á. Salido (49 shared papers)Pilar Tormos (9 shared papers)L. Ingolotti (9 shared papers)A. Lova (6 shared papers)Adriana Giret (6 shared papers)M. Abril (5 shared papers)Antonio Lova (3 shared papers)Alfons Crespo (6 shared papers)
In The Last Decade
Federico Barber
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 59
- Industrial and Manufacturing Engineering 965
- Transportation 299
- Management Science and Operations Research 244
- Building and Construction 201
- Environmental Engineering 101
Countries citing papers authored by Federico Barber
This map shows the geographic impact of Federico Barber'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 Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Barber more than expected).
Fields of papers citing papers by Federico Barber
This network shows the impact of papers produced by Federico Barber. 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 Barber. The network helps show where Federico Barber may publish in the future.
Co-authors
The 22 scholars most cited alongside Federico Barber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 259 | |
| 2 | 2008 | 142 | |
| 3 | 2015 | 119 | |
| 4 | 2016 | 66 | |
| 5 | 2006 | 54 | |
| 6 | 2008 | 41 | |
| 7 | 2014 | 40 | |
| 8 | 2011 | 37 | |
| 9 | 2012 | 36 | |
| 10 | 2013 | 31 | |
| 11 | 2016 | 25 | |
| 12 | 2006 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2010 | 23 | |
| 15 | 2008 | 23 | |
| 16 | 2015 | 20 | |
| 17 | 2006 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 1995 | 19 | |
| 20 | 2000 | 19 |
About Federico Barber
Federico Barber is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (32 papers), Scheduling and Optimization Algorithms (21 papers), Data Management and Algorithms (12 papers), Maritime Ports and Logistics (12 papers), Vehicle Routing Optimization Methods (10 papers), AI-based Problem Solving and Planning (10 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Scheduling and Timetabling Solutions (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (965 citations), Transportation (299 citations), Management Science and Operations Research (244 citations), Building and Construction (201 citations) and Environmental Engineering (101 citations). Federico Barber has collaborated with scholars based in Spain, Ireland and Peru. Frequent co-authors include Miguel Á. Salido, Pilar Tormos, L. Ingolotti, A. Lova, Adriana Giret, M. Abril, Antonio Lova, Alfons Crespo, Vicente Botti and António Garrido. Their work appears in journals such as Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, Journal of Artificial Intelligence Research, Expert Systems with Applications and Applied 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.