Philip Treleaven

5.8k citations
109 papers · 3.2k indexed · 2 hit papers · h-index 28
Topics
Parallel Computing and Optimization Techniques (14 papers)Financial Markets and Investment Strategies (12 papers)Stock Market Forecasting Methods (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Clinical Nutrition

In The Last Decade

Philip Treleaven

97 papers receiving 3.0k citations

Hit Papers

Social media analytics: a survey of techniques, tools and...201420262018202220142017100200300

Peers

Philip Treleaven
Comparison fields: 5 of 173
  • Artificial Intelligence 760
  • Information Systems 683
  • Computer Networks and Communications 570
  • Sociology and Political Science 284
  • Physiology 283
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Citations per field
00.5×50×100×141.5×
Rashid Mehmood · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 7
6 4
7
Data-driven urban management: Mapping the landscape
4
8 95
9
Developing a Volume Forecasting Model
0
10
Algorithmic Regulation: Automating Financial Compliance Monitoring and Regulation Using AI and Blockchain
28
11
Financial Regulation of Fintech
47
12 27
13 19
14 37
15 42
16
The science of body metrics
7
17
Intelligent Systems for Finance and Business
83
18 9
19 4
20
Software Configuration Management: A Tutorial
20

About Philip Treleaven

Philip Treleaven is a scholar working on Hardware and Architecture, Finance and Artificial Intelligence, having authored 109 papers that have together received 3.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (14 papers), Financial Markets and Investment Strategies (12 papers) and Stock Market Forecasting Methods (11 papers). The work is most often cited by research in Hardware and Architecture (282 citations), Information Systems (683 citations) and Health Informatics (39 citations). Philip Treleaven has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Bogdan Batrinca, Jonathan C. K. Wells, Danny Yang, Zeynep Engin, Tim Cole, Brian Randell, Richard P. Hopkins, Cesare Alippi, D. R. Brownbridge and Adriano Koshiyama. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

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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