Gabriel Recchia

5.3k total citations · 3 hit papers
45 papers, 3.3k citations indexed

About

Gabriel Recchia is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Gabriel Recchia has authored 45 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Cognitive Neuroscience and 8 papers in Sociology and Political Science. Recurrent topics in Gabriel Recchia's work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Misinformation and Its Impacts (5 papers). Gabriel Recchia is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Misinformation and Its Impacts (5 papers). Gabriel Recchia collaborates with scholars based in United Kingdom, United States and Netherlands. Gabriel Recchia's co-authors include Alexandra L. J. Freeman, Sarah Dryhurst, Claudia R. Schneider, John R. Kerr, Sander van der Linden, Anne Marthe van der Bles, David Spiegelhalter, Michael N. Jones, Jon Roozenbeek and Max M. Louwerse and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Experimental Psychology General.

In The Last Decade

Gabriel Recchia

45 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Risk perceptions of COVID-19 around the world

2020 1.3k citations Sarah Dryhurst, Claudia R. Schneider et al. Journal of Risk Research profile →
Susceptibility to misinformation about COVID-19 around the world

2020 849 citations Jon Roozenbeek, Claudia R. Schneider et al. Royal Society Open Science profile →
COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom

2021 174 citations Claudia R. Schneider, Sarah Dryhurst et al. Journal of Risk Research profile →

Peers

Gabriel Recchia

SPS

HEALT

John R. Kerr New Zealand

Alexandra L. J. Freeman United Kingdom

Claudia R. Schneider United Kingdom

Anne Marthe van der Bles Netherlands

Sarah Dryhurst United Kingdom

Tingshao Zhu China

Jon Roozenbeek United Kingdom

James P. Selig United States

Bobby Duffy United Kingdom

William J. Brady United States

John R. Kerr New Zealand

Gabriel Recchia

1.8k ×1.3

SPS

888 ×1.2

HEALT

698 ×1.1

433 ×0.8

257 ×0.5

Citations per year, relative to Gabriel Recchia Gabriel Recchia (= 1×) peers John R. Kerr

Countries citing papers authored by Gabriel Recchia

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Recchia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Recchia

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Recchia. A scholar is included among the top collaborators of Gabriel Recchia 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 Gabriel Recchia. Gabriel Recchia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Recchia, Gabriel, et al.. (2023). Do colored cells in risk matrices affect decision‐making and risk perception? Insights from randomized controlled studies. Risk Analysis. 43(10). 2114–2128. 6 indexed citations

Recchia, Gabriel, et al.. (2022). Making BRCA1 genetic test reports easier to understand through user-centered design: A randomized trial. Genetics in Medicine. 24(8). 1684–1696. 2 indexed citations

Freeman, Alexandra L. J., John R. Kerr, Gabriel Recchia, et al.. (2021). Communicating personalized risks from COVID-19: guidelines from an empirical study. Royal Society Open Science. 8(4). 201721–201721. 14 indexed citations

Recchia, Gabriel, Alexandra L. J. Freeman, & David Spiegelhalter. (2021). How well did experts and laypeople forecast the size of the COVID-19 pandemic?. PLoS ONE. 16(5). e0250935–e0250935. 29 indexed citations

Sutherland, Holly, Gabriel Recchia, Sarah Dryhurst, & Alexandra L. J. Freeman. (2021). How People Understand Risk Matrices, and How Matrix Design Can Improve their Use: Findings from Randomized Controlled Studies. Risk Analysis. 42(5). 1023–1041. 17 indexed citations

Kerr, John R., Claudia R. Schneider, Gabriel Recchia, et al.. (2021). Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys. BMJ Open. 11(8). e048025–e048025. 87 indexed citations

Schneider, Claudia R., Sarah Dryhurst, John R. Kerr, et al.. (2021). COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom. Journal of Risk Research. 24(3-4). 294–313. 174 indexed citations breakdown →

Recchia, Gabriel, Claudia R. Schneider, & Alexandra L. J. Freeman. (2021). How do the UK public interpret COVID-19 test results? Comparing the impact of official information about results and reliability used in the UK, USA and New Zealand: a randomised controlled trial. BMJ Open. 11(5). e047731–e047731. 2 indexed citations

Roozenbeek, Jon, Claudia R. Schneider, Sarah Dryhurst, et al.. (2020). Susceptibility to misinformation about COVID-19 around the world. Royal Society Open Science. 7(10). 201199–201199. 849 indexed citations breakdown →

10.

Dryhurst, Sarah, Claudia R. Schneider, John R. Kerr, et al.. (2020). Risk perceptions of COVID-19 around the world. Journal of Risk Research. 23(7-8). 994–1006. 1254 indexed citations breakdown →

11.

Recchia, Gabriel & Alexandra L. J. Freeman. (2020). Communicating risks and benefits to cardiology patients. Heart. 106(23). 1862–1863. 3 indexed citations

12.

Dryhurst, Sarah, Anne Marthe van der Bles, Gabriel Recchia, et al.. (2020). Risk perception of COVID-19/coronavirus. OSF Preprints (OSF Preprints). 1 indexed citations

13.

Recchia, Gabriel, et al.. (2019). Creating genetic reports that are understood by nonspecialists: a case study. Genetics in Medicine. 22(2). 353–361. 14 indexed citations

14.

Recchia, Gabriel, et al.. (2014). Predicting the good guy and the bad guy : Attitudes are encoded in language statistics. Cognitive Science. 36(36). 1264–1269. 2 indexed citations

15.

Recchia, Gabriel & Max M. Louwerse. (2014). Grounding the ungrounded : Estimating locations of unknown place names from linguistic associations and grounded representations. Cognitive Science. 36(36). 1270–1275. 5 indexed citations

16.

Jones, Michael N., Thomas M. Gruenenfelder, & Gabriel Recchia. (2011). In Defense of Spatial Models of Lexical Semantics. Cognitive Science. 33(33). 9 indexed citations

17.

Recchia, Gabriel, Michael N. Jones, Magnus Sahlgren, & Pentti Kanerva. (2010). Encoding Sequential Information in Vector Space Models of Semantics: Comparing Holographic Reduced Representation and Random Permutation. eScholarship (California Digital Library). 32(32). 865–870. 20 indexed citations

18.

Jones, M. G. K. & Gabriel Recchia. (2010). You Can’t Wear a Coat Rack: A Binding Framework to Avoid Illusory Feature Migrations in Perceptually Grounded Semantic Models. eScholarship (California Digital Library). 32(32). 12 indexed citations

19.

Recchia, Gabriel & Michael N. Jones. (2009). More data trumps smarter algorithms: Comparing pointwise mutual information with latent semantic analysis. Behavior Research Methods. 41(3). 647–656. 105 indexed citations

20.

Recchia, Gabriel, et al.. (2008). Context Repetition Benefits Are Dependent on Context Redundancy. eScholarship (California Digital Library). 30(30). 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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