Philip Treleaven

5.8k total citations · 2 hit papers
109 papers, 3.2k citations indexed

About

Philip Treleaven is a scholar working on Artificial Intelligence, Economics and Econometrics and Finance. According to data from OpenAlex, Philip Treleaven has authored 109 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 18 papers in Economics and Econometrics and 16 papers in Finance. Recurrent topics in Philip Treleaven's work include Parallel Computing and Optimization Techniques (14 papers), Financial Markets and Investment Strategies (12 papers) and Stock Market Forecasting Methods (11 papers). Philip Treleaven is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Financial Markets and Investment Strategies (12 papers) and Stock Market Forecasting Methods (11 papers). Philip Treleaven collaborates with scholars based in United Kingdom, United States and Switzerland. Philip Treleaven's co-authors include Bogdan Batrinca, Jonathan C. K. Wells, Danny Yang, Zeynep Engin, Brian Randell, Tim Cole, Richard P. Hopkins, Cesare Alippi, D. R. Brownbridge and Adriano Koshiyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Philip Treleaven

97 papers receiving 3.0k citations

Hit Papers

Social media analytics: a... 2014 2026 2018 2022 2014 2017 100 200 300
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. Social media analytics: a survey of techniques, tools and platforms
    2014 390 citations Bogdan Batrinca, Philip Treleaven profile →
  2. Blockchain Technology in Finance
    2017 334 citations Philip Treleaven et al. Computer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Treleaven United Kingdom 28 760 683 570 284 283 109 3.2k
Chao‐Hsien Chu United States 32 629 0.8× 673 1.0× 848 1.5× 160 0.6× 58 0.2× 178 3.7k
Richard Sinnott Australia 30 535 0.7× 809 1.2× 906 1.6× 1.1k 3.7× 79 0.3× 350 4.4k
Zijiang Yang China 28 550 0.7× 325 0.5× 287 0.5× 57 0.2× 97 0.3× 197 3.3k
Wagner Meira Brazil 40 2.1k 2.8× 1.9k 2.8× 1.8k 3.2× 574 2.0× 47 0.2× 317 6.5k
Robert Feldt Sweden 46 1.1k 1.4× 3.5k 5.2× 935 1.6× 266 0.9× 43 0.2× 247 8.9k
Salvatore Carta Italy 27 723 1.0× 680 1.0× 846 1.5× 143 0.5× 18 0.1× 138 2.5k
Gary Wills United Kingdom 36 1.0k 1.4× 2.4k 3.5× 1.4k 2.5× 644 2.3× 44 0.2× 395 6.3k
Jun Yan China 27 738 1.0× 1.1k 1.6× 619 1.1× 301 1.1× 40 0.1× 229 3.6k
Reda Alhajj Canada 36 2.1k 2.8× 1.2k 1.7× 995 1.7× 303 1.1× 26 0.1× 404 5.1k
Aida Mustapha Malaysia 28 1.2k 1.6× 699 1.0× 664 1.2× 112 0.4× 68 0.2× 303 3.2k

Countries citing papers authored by Philip Treleaven

Since Specialization
Citations

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

Fields of papers citing papers by Philip Treleaven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Treleaven

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Treleaven. A scholar is included among the top collaborators of Philip Treleaven 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 Philip Treleaven. Philip Treleaven 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
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Firoozye, Nick, et al.. (2024). Limit Order Book dynamics and order size modelling using Compound Hawkes Process. Finance research letters. 69. 106157–106157. 1 indexed citations
4.
Koshiyama, Adriano, et al.. (2024). Investigating algorithmic bias in student progress monitoring. Computers and Education Artificial Intelligence. 7. 100267–100267. 8 indexed citations
5.
Treleaven, Philip, et al.. (2023). JudicialTech supporting Justice. SSRN Electronic Journal. 1 indexed citations
6.
Pastor-Escuredo, David, Philip Treleaven, & Ricardo Vinuesa. (2022). An Ethical Framework for Artificial Intelligence and Sustainable Cities. SHILAP Revista de lepidopterología. 3(4). 961–974. 16 indexed citations
7.
Koshiyama, Adriano, Emre Kazim, Philip Treleaven, et al.. (2021). Towards Algorithm Auditing: A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms. SSRN Electronic Journal. 57 indexed citations
8.
Engin, Zeynep, et al.. (2019). Data-driven urban management: Mapping the landscape. UCL Discovery (University College London). 4 indexed citations
9.
Batrinca, Bogdan, Christian W. Hesse, & Philip Treleaven. (2017). Developing a Volume Forecasting Model. Journal of Applied Finance and Banking. 7(1). 1–1.
10.
Treleaven, Philip & Bogdan Batrinca. (2017). Algorithmic Regulation: Automating Financial Compliance Monitoring and Regulation Using AI and Blockchain. Journal of financial transformation. 45. 14–21. 28 indexed citations
11.
Treleaven, Philip. (2015). Financial Regulation of Fintech. SSRN Electronic Journal. 3(3). 114–121. 47 indexed citations
12.
Lum, Sooky, Vassiliki Bountziouka, Samatha Sonnappa, et al.. (2015). Lung function in children in relation to ethnicity, physique and socioeconomic factors. European Respiratory Journal. 46(6). 1662–1671. 27 indexed citations
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14.
Treleaven, Philip, et al.. (2010). Computational Finance. Computer. 43(12). 36–43. 8 indexed citations
15.
Wells, Jonathan C. K., et al.. (2007). Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice. International Journal of Obesity. 32(2). 232–238. 58 indexed citations
16.
Treleaven, Philip, Adrian Furnham, & Viren Swami. (2006). The science of body metrics. UCL Discovery (University College London). 7 indexed citations
17.
Treleaven, Philip, et al.. (2002). Silicon compilation of neural networks. 541–546. 3 indexed citations
18.
Goonatilake, Suran & Philip Treleaven. (1995). Intelligent Systems for Finance and Business. John Wiley & Sons, Inc. eBooks. 83 indexed citations
19.
Treleaven, Philip. (1983). The new generation of computer architecture. 402–409. 6 indexed citations
20.
Treleaven, Philip & Richard P. Hopkins. (1981). Decentralized computation. 279–290. 4 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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