Arthur Turrell

570 citations
18 papers · 278 indexed · h-index 10

Impact in

Papers in

Arthur Turrell

16 papers receiving 256 citations

Peers

Arthur Turrell
Comparison fields: 5 of 63
  • General Economics, Econometrics and Finance 80
  • Economics and Econometrics 190
  • Finance 61
  • Management Science and Operations Research 32
  • General Decision Sciences 3
Replace Matheus R. Grasselli with:
Matheus R. Grasselli Canada
Yoonseok Lee United States
Elena Angelini Germany
Cem Çakmaklı Netherlands
Dalibor Stevanović Canada
Ke‐Li Xu United States
Teruyoshi Kobayashi Japan
Szabolcs Blazsek Guatemala
Julius Bonart France
Michael Monoyios United Kingdom
Arthur Turrell relative to Matheus R. Grasselli Canada Matheus R. Grasselli's profile →
Citations per field
00.5×3.9×
Matheus R. Grasselli · 1×
Citations per year

Countries citing papers authored by Arthur Turrell

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Turrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Arthur Turrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arthur Turrell Line = papers co-authored together Arthur Turrell links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201770
2 201850
3 202238
4 202025
5
Agent-Based Models: Understanding the Economy from the Bottom Up
201618
6 201616
7 201513
8 201512
9 201710
10 20219
11 20136
12 20174
13 20183
14 20252
15 20241
16 20231
17 20230
18 20180

About Arthur Turrell

Arthur Turrell is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, General Social Sciences, Nuclear and High Energy Physics and Gender Studies, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (6 papers), Monetary Policy and Economic Impact (4 papers), Economic theories and models (4 papers), Market Dynamics and Volatility (4 papers), Labor market dynamics and wage inequality (4 papers), Laser-Plasma Interactions and Diagnostics (3 papers), Laser-induced spectroscopy and plasma (2 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (80 citations), Economics and Econometrics (190 citations), Finance (61 citations), Management Science and Operations Research (32 citations) and General Decision Sciences (3 citations). Arthur Turrell has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Andy Haldane, Andrew Haldane, Sujit Kapadia, Eleni Kalamara, George Kapetanios, M. Sherlock, S. J. Rose, Zijun Liu, Robin Lovelace and Federico Botta. Their work appears in journals such as Journal of Computational Physics, Environment and Planning B Urban Analytics and City Science, Labour Economics, Oxford Review of Economic Policy and Journal of Evolutionary Economics.

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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