Ibai Laña
- Building and Construction top 1%
- Transportation top 1%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Javier Del SerManuel VélezEleni I. VlahogianniMiren Nekane BilbaoIgnacio OlabarrietaNikola KasabovJesús L. LoboAna I. Torre-Bastida
- Topics
- Traffic Prediction and Management Techniques (21 papers)Traffic control and management (7 papers)Transportation Planning and Optimization (7 papers)
- Journals
- Atmospheric EnvironmentIEEE Transactions on Intelligent Transportation SystemsNeural Networks
- Partner nations
- SpainGreeceNew Zealand
In The Last Decade
Ibai Laña
37 papers receiving 776 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Building and Construction 471
- Transportation 335
- Control and Systems Engineering 221
- Artificial Intelligence 140
- Signal Processing 113
Countries citing papers authored by Ibai Laña
This map shows the geographic impact of Ibai Laña'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 Ibai Laña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibai Laña more than expected).
Fields of papers citing papers by Ibai Laña
This network shows the impact of papers produced by Ibai Laña. 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 Ibai Laña. The network helps show where Ibai Laña may publish in the future.
Co-authorship network of co-authors of Ibai Laña
This figure shows the co-authorship network connecting the top 25 collaborators of Ibai Laña. A scholar is included among the top collaborators of Ibai Laña 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 Ibai Laña. Ibai Laña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 36 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 52 | |
| 18 | Road Traffic Forecasting: Recent Advances and New Challengesbreakdown → | 255 |
| 19 | 3 | |
| 20 | 69 |
About Ibai Laña
Ibai Laña is a scholar working on Building and Construction, Transportation and Signal Processing, having authored 41 papers that have together received 808 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (21 papers), Traffic control and management (7 papers) and Transportation Planning and Optimization (7 papers). The work is most often cited by research in Transportation (335 citations), Building and Construction (471 citations) and Signal Processing (113 citations). Ibai Laña has collaborated with scholars based in Spain, Greece and New Zealand. Frequent co-authors include Javier Del Ser, Manuel Vélez, Eleni I. Vlahogianni, Miren Nekane Bilbao, Ignacio Olabarrieta, Nikola Kasabov, Jesús L. Lobo, Ana I. Torre-Bastida, Javier Medina and C. Casanova‐Mateo. Their work appears in journals such as Atmospheric Environment, IEEE Transactions on Intelligent Transportation Systems and Neural Networks.
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.