Daniel Arribas‐Bel

3.4k total citations
92 papers, 2.1k citations indexed

About

Daniel Arribas‐Bel is a scholar working on Economics and Econometrics, Transportation and Global and Planetary Change. According to data from OpenAlex, Daniel Arribas‐Bel has authored 92 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Economics and Econometrics, 28 papers in Transportation and 23 papers in Global and Planetary Change. Recurrent topics in Daniel Arribas‐Bel's work include Spatial and Panel Data Analysis (25 papers), Land Use and Ecosystem Services (22 papers) and Human Mobility and Location-Based Analysis (20 papers). Daniel Arribas‐Bel is often cited by papers focused on Spatial and Panel Data Analysis (25 papers), Land Use and Ecosystem Services (22 papers) and Human Mobility and Location-Based Analysis (20 papers). Daniel Arribas‐Bel collaborates with scholars based in United Kingdom, United States and Netherlands. Daniel Arribas‐Bel's co-authors include Alex Singleton, Peter Nijkamp, Luc Anselin, Fernando Sanz, H.J. Scholten, Francisco Rowe, Martin Fleischmann, Karima Kourtit, Meixu Chen and Yunzhe Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Landscape and Urban Planning.

In The Last Decade

Daniel Arribas‐Bel

89 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Arribas‐Bel United Kingdom 26 749 642 604 333 263 92 2.1k
Marius Thériault Canada 27 873 1.2× 468 0.7× 1.1k 1.9× 323 1.0× 286 1.1× 91 3.1k
Alex Singleton United Kingdom 30 1.0k 1.4× 439 0.7× 447 0.7× 482 1.4× 292 1.1× 108 2.7k
Juan C. Duque Colombia 20 389 0.5× 651 1.0× 314 0.5× 164 0.5× 179 0.7× 71 1.7k
Sergio J. Rey United States 31 602 0.8× 690 1.1× 2.6k 4.3× 726 2.2× 167 0.6× 132 4.4k
Jianquan Cheng United Kingdom 23 582 0.8× 653 1.0× 538 0.9× 308 0.9× 316 1.2× 59 1.8k
Seth Spielman United States 22 465 0.6× 384 0.6× 346 0.6× 628 1.9× 71 0.3× 37 1.7k
Anthony G.O. Yeh Hong Kong 32 1.3k 1.7× 757 1.2× 528 0.9× 596 1.8× 561 2.1× 89 3.4k
Chaolin Gu China 28 587 0.8× 1.0k 1.6× 608 1.0× 626 1.9× 204 0.8× 77 2.8k
Alison Heppenstall United Kingdom 25 783 1.0× 697 1.1× 255 0.4× 322 1.0× 434 1.7× 85 2.3k
Karima Kourtit Netherlands 25 729 1.0× 387 0.6× 677 1.1× 561 1.7× 223 0.8× 194 2.5k

Countries citing papers authored by Daniel Arribas‐Bel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Arribas‐Bel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Arribas‐Bel. 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 Daniel Arribas‐Bel. The network helps show where Daniel Arribas‐Bel may publish in the future.

Co-authorship network of co-authors of Daniel Arribas‐Bel

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Arribas‐Bel. A scholar is included among the top collaborators of Daniel Arribas‐Bel 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 Daniel Arribas‐Bel. Daniel Arribas‐Bel 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.
Arribas‐Bel, Daniel, et al.. (2024). Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality. SHILAP Revista de lepidopterología. 4(1). 3 indexed citations
2.
Arribas‐Bel, Daniel, et al.. (2023). Tracking the Transit Divide: A Multilevel Modelling Approach of Urban Inequalities and Train Ridership Disparities in Chicago. Sustainability. 15(11). 8821–8821. 5 indexed citations
3.
Arribas‐Bel, Daniel & Martin Fleischmann. (2023). In praise of (spatial) bundles. Environment and Planning B Urban Analytics and City Science. 51(1). 3–6. 1 indexed citations
4.
Murphy, James R., et al.. (2023). Spatial-temporal variability: characterisation of a beach system using high resolution radar data. Frontiers in Marine Science. 10.
5.
Fleischmann, Martin & Daniel Arribas‐Bel. (2022). Geographical characterisation of British urban form and function using the spatial signatures framework. Scientific Data. 9(1). 546–546. 23 indexed citations
6.
Singleton, Alex, et al.. (2022). Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network. Computers Environment and Urban Systems. 95. 101802–101802. 15 indexed citations
7.
Rowe, Francisco, et al.. (2022). Urban exodus? Understanding human mobility in Britain during the COVID‐19 pandemic using Meta‐Facebook data. Population Space and Place. 29(1). e2637–e2637. 75 indexed citations
8.
Wolf, Levi John, Luc Anselin, Daniel Arribas‐Bel, & Lee R. Mobley. (2021). On Spatial and Platial Dependence: Examining Shrinkage in Spatially Dependent Multilevel Models. Annals of the American Association of Geographers. 1–13. 8 indexed citations
9.
Rey, Sergio J., Luc Anselin, Pedro Amaral, et al.. (2021). ThePySALEcosystem: Philosophy and Implementation. Geographical Analysis. 54(3). 467–487. 34 indexed citations
10.
Arribas‐Bel, Daniel, Mark Green, Francisco Rowe, & Alex Singleton. (2021). Open data products-A framework for creating valuable analysis ready data. Journal of Geographical Systems. 23(4). 497–514. 36 indexed citations
11.
Arribas‐Bel, Daniel, Verena C. Griess, Wei Kang, et al.. (2020). splot - visual analytics for spatial statistics. The Journal of Open Source Software. 5(47). 1882–1882. 3 indexed citations
12.
Rowe, Francisco, Günther Maier, Daniel Arribas‐Bel, & Sergio J. Rey. (2020). The Potential of Notebooks for Scientific Publication, Reproducibility and Dissemination. SHILAP Revista de lepidopterología. 7(3). E1–E5. 6 indexed citations
13.
Singleton, Alex & Daniel Arribas‐Bel. (2019). Geographic Data Science. Geographical Analysis. 53(1). 61–75. 54 indexed citations
14.
Dong, Guanpeng, Levi John Wolf, Alexandros Alexiou, & Daniel Arribas‐Bel. (2018). Inferring neighbourhood quality with property transaction records by using a locally adaptive spatial multi-level model. Computers Environment and Urban Systems. 73. 118–125. 18 indexed citations
15.
Arribas‐Bel, Daniel, Jorge E. Patiño, & Juan C. Duque. (2017). Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning. PLoS ONE. 12(5). e0176684–e0176684. 38 indexed citations
16.
Arribas‐Bel, Daniel, et al.. (2012). Benchmarking of world cities through self-organizing maps. research memorandum. 3 indexed citations
17.
Arribas‐Bel, Daniel, Karima Kourtit, & Peter Nijkamp. (2012). Benchmarking of world cities through Self-Organizing Maps. Cities. 31. 248–257. 46 indexed citations
18.
Amaral, Pedro, Luc Anselin, & Daniel Arribas‐Bel. (2012). Testing for spatial error dependence in probit models. Letters in Spatial and Resource Sciences. 6(2). 91–101. 20 indexed citations
19.
Anselin, Luc, et al.. (2011). Spatial Fixed Effects and Spatial Dependence. RePEc: Research Papers in Economics. 10 indexed citations
20.
Kourtit, Karima, Daniel Arribas‐Bel, & Peter Nijkamp. (2011). High performers in complex spatial systems: a self-organizing mapping approach with reference to The Netherlands. The Annals of Regional Science. 48(2). 501–527. 8 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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