David Buil‐Gil

1.0k total citations · 1 hit paper
40 papers, 561 citations indexed

About

David Buil‐Gil is a scholar working on Sociology and Political Science, Information Systems and Epidemiology. According to data from OpenAlex, David Buil‐Gil has authored 40 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Sociology and Political Science, 10 papers in Information Systems and 8 papers in Epidemiology. Recurrent topics in David Buil‐Gil's work include Crime Patterns and Interventions (30 papers), Crime, Illicit Activities, and Governance (13 papers) and Cybercrime and Law Enforcement Studies (10 papers). David Buil‐Gil is often cited by papers focused on Crime Patterns and Interventions (30 papers), Crime, Illicit Activities, and Governance (13 papers) and Cybercrime and Law Enforcement Studies (10 papers). David Buil‐Gil collaborates with scholars based in United Kingdom, Spain and Croatia. David Buil‐Gil's co-authors include Steven Kemp, Fernando Miró Llinares, Asier Moneva, Natalie Shlomo, Juanjo Medina, Réka Solymosi, Samuel Langton, Laura Vozmediano, Nicholas Lord and José Pina-Sánchez and has published in prestigious journals such as Computers in Human Behavior, Environment and Behavior and Applied Geography.

In The Last Decade

David Buil‐Gil

37 papers receiving 526 citations

Hit Papers

Cybercrime and shifts in opportunities during COVID-19: a... 2020 2026 2022 2024 2020 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cybercrime and shifts in opportunities during COVID-19: a preliminary analysis in the UK
    2020 154 citations David Buil‐Gil, Fernando Miró Llinares et al. European Societies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Buil‐Gil United Kingdom 12 369 219 61 60 34 40 561
John S. Hollywood United States 11 444 1.2× 133 0.6× 149 2.4× 101 1.7× 34 1.0× 57 712
Steven Kemp Spain 10 242 0.7× 223 1.0× 59 1.0× 48 0.8× 27 0.8× 21 548
Fernando Miró Llinares Spain 13 367 1.0× 267 1.2× 74 1.2× 162 2.7× 47 1.4× 61 629
Asier Moneva Netherlands 10 253 0.7× 248 1.1× 30 0.5× 68 1.1× 27 0.8× 28 427
Jeffrey Morgan United Kingdom 9 407 1.1× 143 0.7× 56 0.9× 245 4.1× 17 0.5× 13 903
Susan Smith United Arab Emirates 7 320 0.9× 49 0.2× 77 1.3× 68 1.1× 17 0.5× 17 487
Momin M. Malik United States 15 267 0.7× 74 0.3× 14 0.2× 115 1.9× 21 0.6× 31 642
Francesco Calderoni Italy 16 639 1.7× 118 0.5× 45 0.7× 76 1.3× 56 1.6× 64 856
Sean F. Everton United States 11 281 0.8× 59 0.3× 38 0.6× 30 0.5× 11 0.3× 30 429
Emmanuel Letouzé United States 8 184 0.5× 91 0.4× 27 0.4× 167 2.8× 11 0.3× 13 583

Countries citing papers authored by David Buil‐Gil

Since Specialization
Citations

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

Fields of papers citing papers by David Buil‐Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Buil‐Gil. 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 David Buil‐Gil. The network helps show where David Buil‐Gil may publish in the future.

Co-authorship network of co-authors of David Buil‐Gil

This figure shows the co-authorship network connecting the top 25 collaborators of David Buil‐Gil. A scholar is included among the top collaborators of David Buil‐Gil 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 David Buil‐Gil. David Buil‐Gil 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.
Grant, Susan‐Mary & David Buil‐Gil. (2025). The effect of true crime docuseries on romance fraud reporting to the police. Crime Science. 14(1). 1 indexed citations
2.
Buil‐Gil, David. (2025). The Structure of Unstructured Time and Crime: A Spare Time Model. The British Journal of Criminology. 66(1). 1–22. 1 indexed citations
3.
Buil‐Gil, David, et al.. (2024). Diversifying Crime Datasets in Introductory Statistical Courses in Criminology. Journal of Criminal Justice Education. 36(1). 19–45. 1 indexed citations
4.
Ding, F., David Buil‐Gil, Mengmeng Hao, et al.. (2024). The impact of COVID-19 lockdown on fraud in the UK. Humanities and Social Sciences Communications. 11(1). 2 indexed citations
5.
Buil‐Gil, David, et al.. (2024). The drop in worry about crime and its gender gap: Trends in England and Wales from 1998 to 2019/2020. Criminology & Criminal Justice. 2 indexed citations
6.
Solymosi, Réka, et al.. (2023). Privacy challenges in geodata and open data. Area. 55(4). 456–464. 4 indexed citations
7.
8.
Pina-Sánchez, José, Ian Brunton‐Smith, David Buil‐Gil, & Alexandru Cernat. (2023). Exploring the impact of measurement error in police recorded crime rates through sensitivity analysis. Crime Science. 12(1). 4 indexed citations
9.
10.
Kemp, Steven, et al.. (2021). Empty Streets, Busy Internet: A Time-Series Analysis of Cybercrime and Fraud Trends During COVID-19. Journal of Contemporary Criminal Justice. 37(4). 480–501. 63 indexed citations
11.
Buil‐Gil, David, Nicholas Lord, & Emma Barrett. (2021). The Dynamics of Business, Cybersecurity and Cyber-Victimization: Foregrounding the Internal Guardian in Prevention. Victims & Offenders. 16(3). 286–315. 15 indexed citations
12.
Buil‐Gil, David, et al.. (2021). Offline crime bounces back to pre-COVID levels, cyber stays high: interrupted time-series analysis in Northern Ireland. Crime Science. 10(1). 26–26. 31 indexed citations
13.
Buil‐Gil, David, et al.. (2021). Offending Concentration on the Internet: An Exploratory Analysis of Bitcoin-related Cybercrime. Deviant Behavior. 43(12). 1453–1470. 7 indexed citations
14.
Buil‐Gil, David, et al.. (2020). Cybercrime and shifts in opportunities during COVID-19: a preliminary analysis in the UK. European Societies. 23(sup1). S47–S59. 154 indexed citations breakdown →
15.
Solymosi, Réka, et al.. (2020). Towards a Place-based Measure of Fear of Crime: A Systematic Review of App-based and Crowdsourcing Approaches. Environment and Behavior. 53(9). 1013–1044. 40 indexed citations
16.
Buil‐Gil, David, et al.. (2020). Recorded Cybercrime and Fraud Trends in UK during COVID-19. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
17.
Solymosi, Réka, et al.. (2019). A place-based approach to fear of crime: A systematic review of app-based and crowdsourced measures. SocArXiv (OSF Preprints). 2 indexed citations
18.
Buil‐Gil, David. (2016). Introducción al estudio del miedo al delito: Principios teóricos. Dialnet (Universidad de la Rioja). 13–34. 3 indexed citations
19.
Buil‐Gil, David. (2016). ¿Qué es la Criminología?: Una aproximación a su ontología, función y desarrollo. Dialnet (Universidad de la Rioja). 13(44). 1. 1 indexed citations
20.
Buil‐Gil, David. (2016). Comunidad de coétnicos y miedo al delito : estudio sobre las variables explicativas del miedo al delito de la comunidad inmigrante de la ciudad de Barcelona. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 133–198.

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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