Ramon Dalmau

501 total citations
45 papers, 340 citations indexed

About

Ramon Dalmau is a scholar working on Aerospace Engineering, General Economics, Econometrics and Finance and Social Psychology. According to data from OpenAlex, Ramon Dalmau has authored 45 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Aerospace Engineering, 15 papers in General Economics, Econometrics and Finance and 9 papers in Social Psychology. Recurrent topics in Ramon Dalmau's work include Air Traffic Management and Optimization (42 papers), Aerospace and Aviation Technology (21 papers) and Aviation Industry Analysis and Trends (15 papers). Ramon Dalmau is often cited by papers focused on Air Traffic Management and Optimization (42 papers), Aerospace and Aviation Technology (21 papers) and Aviation Industry Analysis and Trends (15 papers). Ramon Dalmau collaborates with scholars based in Spain, France and United States. Ramon Dalmau's co-authors include Xavier Prats, Yan Xu, Adeline Montlaur, Brian T. Baxley, Frank Bussink, Yan Xu, Cristina Barrado, S. H. Kirby and Yan Xu and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Ramon Dalmau

40 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramon Dalmau Spain 10 311 134 71 57 56 45 340
Richard Coppenbarger United States 8 335 1.1× 110 0.8× 60 0.8× 77 1.4× 16 0.3× 29 354
Alexander Klein United States 11 244 0.8× 124 0.9× 41 0.6× 69 1.2× 12 0.2× 26 305
Aleksandar Bauranov United States 5 215 0.7× 52 0.4× 37 0.5× 30 0.5× 20 0.4× 8 317
Angela Nuić France 6 276 0.9× 52 0.4× 34 0.5× 40 0.7× 87 1.6× 8 313
Ioannis Simaiakis United States 10 354 1.1× 266 2.0× 95 1.3× 71 1.2× 25 0.4× 17 393
Frank Bussink United States 9 247 0.8× 59 0.4× 60 0.8× 68 1.2× 8 0.1× 27 275
Emily Farrar Canada 3 158 0.5× 71 0.5× 27 0.4× 25 0.4× 16 0.3× 5 295
Vishwanath Bulusu United States 9 192 0.6× 59 0.4× 63 0.9× 37 0.6× 8 0.1× 30 256
Brian T. Baxley United States 10 304 1.0× 73 0.5× 57 0.8× 154 2.7× 10 0.2× 38 330
Daniel Delahaye France 8 144 0.5× 66 0.5× 29 0.4× 34 0.6× 8 0.1× 39 212

Countries citing papers authored by Ramon Dalmau

Since Specialization
Citations

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

Fields of papers citing papers by Ramon Dalmau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramon Dalmau

This figure shows the co-authorship network connecting the top 25 collaborators of Ramon Dalmau. A scholar is included among the top collaborators of Ramon Dalmau 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 Ramon Dalmau. Ramon Dalmau 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.
Dalmau, Ramon, et al.. (2025). A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions. European journal of transport and infrastructure research. 25(1). 133–159.
2.
Dalmau, Ramon, et al.. (2025). Combining Machine Learning Models to Improve Estimated Time of Arrival Predictions. European journal of transport and infrastructure research. 25(1). 45–66.
3.
Dalmau, Ramon, et al.. (2023). Modelling the Impact of Adverse Weather on Airport Peak Service Rate with Machine Learning. Atmosphere. 14(10). 1476–1476.
4.
Dalmau, Ramon, et al.. (2023). The effectiveness of supervised clustering for characterising flight diversions due to weather. Expert Systems with Applications. 237. 121652–121652. 2 indexed citations
5.
Dalmau, Ramon, et al.. (2023). On the Causes and Environmental Impact of Airborne Holdings at Major European Airports. 1(2). 1 indexed citations
6.
Dalmau, Ramon, et al.. (2023). Learning With Confidence the Likelihood of Flight Diversion Due to Adverse Weather at Destination. IEEE Transactions on Intelligent Transportation Systems. 24(5). 5615–5624. 5 indexed citations
7.
Dalmau, Ramon. (2022). Predicting the likelihood of airspace user rerouting to mitigate air traffic flow management delay. Transportation Research Part C Emerging Technologies. 144. 103869–103869. 16 indexed citations
8.
Dalmau, Ramon, Xavier Prats, & Brian T. Baxley. (2021). Sensitivity-Based Non-Linear Model Predictive Control for Aircraft Descent Operations Subject to Time Constraints. Aerospace. 8(12). 377–377. 4 indexed citations
9.
Dalmau, Ramon, et al.. (2019). Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility. 2019. 1–8. 7 indexed citations
10.
Dalmau, Ramon, et al.. (2019). Identifying the sources of flight inefficiency from historical aircraft trajectories. A set of distance- and fuel-based performance indicators for post-operational analysis.. 4 indexed citations
11.
Dalmau, Ramon, Xavier Prats, & Brian T. Baxley. (2018). Fast sensitivity-based optimal trajectory updates for descent operations subject to time constraints. QRU Quaderns de Recerca en Urbanisme. 1–10. 5 indexed citations
12.
Dalmau, Ramon, et al.. (2018). Optimal assignment of 4D close-loop instructions to enable CDOs in dense TMAs. QRU Quaderns de Recerca en Urbanisme. 1–10. 9 indexed citations
13.
Dalmau, Ramon, et al.. (2018). Fuel-Efficient Trajectories Traffic Synchronization. Journal of Aircraft. 56(2). 481–492. 13 indexed citations
14.
Dalmau, Ramon, et al.. (2018). A Fast and Flexible Aircraft Trajectory Predictor and Optimiser for ATM Research Applications. 1–8. 9 indexed citations
15.
Dalmau, Ramon & Xavier Prats. (2017). Controlled time of arrival windows for already initiated energy-neutral continuous descent operations. Transportation Research Part C Emerging Technologies. 85. 334–347. 19 indexed citations
16.
Dalmau, Ramon, et al.. (2017). Combining the assignment of pre-defined routes and RTAs to sequence and merge arrival traffic. QRU Quaderns de Recerca en Urbanisme. 6 indexed citations
17.
Dalmau, Ramon, et al.. (2017). Assessment of arrival traffic synchronisation with RTAs and fuel-efficient trajectories. UPCommons institutional repository (Universitat Politècnica de Catalunya). 11 indexed citations
18.
Xu, Yan, et al.. (2016). Effects of speed reduction in climb, cruise and descent phases to generate linear holding at no extra fuel cost. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 5 indexed citations
19.
Dalmau, Ramon, et al.. (2016). 4D Continuous Descent Operations Supported by an Electronic Flight Bag. 1 indexed citations
20.
Bussink, Frank, et al.. (2016). Flight testing Time and Energy Managed Operations (TEMO). RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1 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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