Jonathan Vincent

1.9k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Jonathan Vincent is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Jonathan Vincent has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Computer Networks and Communications. Recurrent topics in Jonathan Vincent's work include Advanced Multi-Objective Optimization Algorithms (4 papers), Software Engineering Research (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Jonathan Vincent is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (4 papers), Software Engineering Research (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Jonathan Vincent collaborates with scholars based in United Kingdom, France and Canada. Jonathan Vincent's co-authors include Alec Banks, Keith Phalp, François Enault, Johannes Söding, Clovis Galiez, Matthias Siebert, Vegard Engen, Karl Cox, Catherine Ravel and Pierre Martre and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Journal.

In The Last Decade

Jonathan Vincent

23 papers receiving 1.3k citations

Hit Papers

A review of particle swarm optimization. Part I: backgrou... 2007 2026 2013 2019 2007 100 200 300 400
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. A review of particle swarm optimization. Part I: background and development
    2007 466 citations Alec Banks, Jonathan Vincent et al. Natural Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Vincent United Kingdom 13 528 229 176 153 147 26 1.3k
Antonio Mucherino France 17 383 0.7× 320 1.4× 133 0.8× 25 0.2× 96 0.7× 55 1.1k
K. K. Mishra India 23 391 0.7× 138 0.6× 148 0.8× 31 0.2× 509 3.5× 138 1.9k
Fan Cheng China 19 884 1.7× 739 3.2× 61 0.3× 56 0.4× 70 0.5× 67 1.5k
Miguel A. Vega‐Rodríguez Spain 27 1.0k 2.0× 435 1.9× 409 2.3× 91 0.6× 112 0.8× 296 3.1k
Alexandre C. B. Delbem Brazil 21 315 0.6× 226 1.0× 119 0.7× 76 0.5× 29 0.2× 167 1.7k
Carlos A. Brizuela Mexico 19 234 0.4× 316 1.4× 419 2.4× 38 0.2× 51 0.3× 85 1.4k
Hongwei Wu United States 17 873 1.7× 147 0.6× 274 1.6× 38 0.2× 103 0.7× 51 1.5k
Chidchanok Lursinsap Thailand 21 766 1.5× 60 0.3× 120 0.7× 35 0.2× 55 0.4× 149 1.6k
John W. Sheppard United States 21 483 0.9× 120 0.5× 34 0.2× 64 0.4× 222 1.5× 205 1.7k

Countries citing papers authored by Jonathan Vincent

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Vincent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Vincent

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Vincent. A scholar is included among the top collaborators of Jonathan Vincent 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 Jonathan Vincent. Jonathan Vincent 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.
Grondin, François, et al.. (2023). Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays. 25. 1–5. 1 indexed citations
2.
Vincent, Jonathan, et al.. (2023). Aeroacoustics of drones. 1 indexed citations
3.
Grondin, François, et al.. (2022). ODAS: Open embeddeD Audition System. Frontiers in Robotics and AI. 9. 854444–854444. 10 indexed citations
4.
Vincent, Jonathan. (2016). The Health of the State. Oxford University Press eBooks.
5.
Vincent, Jonathan, et al.. (2015). RulNet: A Web-Oriented Platform for Regulatory Network Inference, Application to Wheat –Omics Data. PLoS ONE. 10(5). e0127127–e0127127. 16 indexed citations
6.
Ravel, Catherine, Julie Boudet, Mireille Dardevet, et al.. (2014). Conserved cis-regulatory modules in promoters of genes encoding wheat high-molecular-weight glutenin subunits. Frontiers in Plant Science. 5. 621–621. 47 indexed citations
7.
Vincent, Jonathan, Zhanwu Dai, Catherine Ravel, et al.. (2013). dbWFA: a web-based database for functional annotation of Triticum aestivum transcripts. Database. 2013. bat014–bat014. 9 indexed citations
8.
Engen, Vegard, Jonathan Vincent, & Keith Phalp. (2011). Exploring discrepancies in findings obtained with the KDD Cup '99 data set. Intelligent Data Analysis. 15(2). 251–276. 36 indexed citations
9.
Phalp, Keith, et al.. (2010). The role of comprehension in requirements and implications for use case descriptions. Software Quality Journal. 19(2). 461–486. 1 indexed citations
10.
Engen, Vegard, Jonathan Vincent, Amanda C. Schierz, & Keith Phalp. (2009). Multi-objective evolution of the Pareto optimal set of neural network classifier ensembles. 74–79. 10 indexed citations
11.
Banks, Alec, Jonathan Vincent, & Keith Phalp. (2007). Particle Swarm Guidance System for Autonomous Unmanned Aerial Vehicles in an Air Defence Role. Journal of Navigation. 61(1). 9–29. 14 indexed citations
12.
Banks, Alec, et al.. (2007). A review of particle swarm optimization. Part I: background and development. Natural Computing. 6(4). 467–484. 466 indexed citations breakdown →
13.
Vincent, Jonathan, et al.. (2007). Modelling call detail records from a mobile telecommunications network. 56–61. 1 indexed citations
14.
Phalp, Keith, Jonathan Vincent, & Karl Cox. (2007). Assessing the quality of use case descriptions. Software Quality Journal. 15(1). 69–97. 29 indexed citations
15.
Vincent, Jonathan, et al.. (2007). Prediction Based Link State Update. International Journal of Computers and Applications. 29(4). 379–393. 1 indexed citations
16.
Phalp, Keith, Jonathan Vincent, & Karl Cox. (2007). Improving the quality of use case descriptions: empirical assessment of writing guidelines. Software Quality Journal. 15(4). 383–399. 32 indexed citations
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19.
Vincent, Jonathan, et al.. (2002). Principles of Built-In-Test for Run-Time-Testability in Component-Based Software Systems. Software Quality Journal. 10(2). 115–133. 24 indexed citations
20.
Vincent, Jonathan, et al.. (1994). Computer validation life cycle.. PubMed. 3(2). 187–8. 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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