John Cartlidge

740 total citations
49 papers, 355 citations indexed

About

John Cartlidge is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, John Cartlidge has authored 49 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 13 papers in Economics and Econometrics and 12 papers in Artificial Intelligence. Recurrent topics in John Cartlidge's work include Complex Systems and Time Series Analysis (13 papers), Financial Markets and Investment Strategies (8 papers) and Auction Theory and Applications (7 papers). John Cartlidge is often cited by papers focused on Complex Systems and Time Series Analysis (13 papers), Financial Markets and Investment Strategies (8 papers) and Auction Theory and Applications (7 papers). John Cartlidge collaborates with scholars based in United Kingdom, China and United States. John Cartlidge's co-authors include Seth Bullock, Dave Cliff, Ruibin Bai, Guoping Qiu, Yang Yue, Qingquan Li, Zijian Shi, Mark G. Thompson, Max J. Western and Raj Mani Shukla and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Computers & Operations Research and Evolutionary Computation.

In The Last Decade

John Cartlidge

44 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Cartlidge United Kingdom 11 106 78 68 63 44 49 355
Dimitar Trajanov North Macedonia 10 187 1.8× 72 0.9× 13 0.2× 109 1.7× 27 0.6× 58 448
Akira Namatame Japan 9 45 0.4× 16 0.2× 26 0.4× 48 0.8× 42 1.0× 82 303
Amin Mazloumian Switzerland 7 40 0.4× 34 0.4× 264 3.9× 29 0.5× 86 2.0× 8 596
Zhao Chen Hong Kong 6 127 1.2× 22 0.3× 110 1.6× 97 1.5× 6 0.1× 13 393
Loris Belcastro Italy 12 112 1.1× 83 1.1× 51 0.8× 19 0.3× 7 0.2× 32 374
Dongmo Zhang Australia 13 264 2.5× 23 0.3× 15 0.2× 85 1.3× 41 0.9× 55 425
Carlos Cobos Colombia 11 284 2.7× 138 1.8× 45 0.7× 21 0.3× 25 0.6× 62 508
Basilis Boutsinas Greece 11 159 1.5× 106 1.4× 7 0.1× 29 0.5× 19 0.4× 35 382

Countries citing papers authored by John Cartlidge

Since Specialization
Citations

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

Fields of papers citing papers by John Cartlidge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Cartlidge

This figure shows the co-authorship network connecting the top 25 collaborators of John Cartlidge. A scholar is included among the top collaborators of John Cartlidge 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 John Cartlidge. John Cartlidge 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
2.
Bullock, Seth, Nirav Ajmeri, Michaela Black, et al.. (2024). Artificial intelligence for collective intelligence: a national-scale research strategy. The Knowledge Engineering Review. 39. 1 indexed citations
3.
Shi, Zijian & John Cartlidge. (2024). Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model. Intelligent systems in accounting, finance and management. 31(2). 1 indexed citations
5.
Cartlidge, John, et al.. (2022). Simulation of Front-Running Attacks and Privacy Mitigations in Ethereum Blockchain. Explore Bristol Research. 3 indexed citations
6.
Cartlidge, John, et al.. (2022). Exploration of Ontological Representations for Evolutionary Computation. Explore Bristol Research. 14. 1–8.
7.
Cartlidge, John, et al.. (2022). EvoRecSys: Evolutionary framework for health and well-being recommender systems. User Modeling and User-Adapted Interaction. 32(5). 883–921. 15 indexed citations
8.
Shi, Zijian, Yu Chen, & John Cartlidge. (2021). The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 548–556. 7 indexed citations
9.
Cartlidge, John, et al.. (2019). Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation. International Journal of Geographical Information Systems. 34(6). 1210–1234. 35 indexed citations
10.
Cartlidge, John. (2016). Towards adaptive ex ante circuit breakers in financial markets using human-algorithmic market studies. Bristol Research (University of Bristol). 77–80. 1 indexed citations
11.
Cartlidge, John. (2014). Proceedings of 6th International Conference on Agents and Artificial Intelligence (ICAART-2014). 42 indexed citations
12.
Cartlidge, John. (2014). Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market. Bristol Research (University of Bristol). 311–317. 2 indexed citations
13.
Cartlidge, John & Dave Cliff. (2013). Comparison of Cloud Middleware Protocols and Subscription Network Topologies using CReST, the Cloud Research Simulation Toolkit - The Three Truths of Cloud Computing are: Hardware Fails, Software has Bugs, and People Make Mistakes. 58–68. 2 indexed citations
14.
Cartlidge, John & Dave Cliff. (2013). Evidencing the “Robot Phase Transition” in Human-agent Experimental Financial Markets. 345–352. 2 indexed citations
15.
Cartlidge, John, et al.. (2013). Pricing the cloud: an adaptive brokerage for cloud computing. Explore Bristol Research. 113–121. 3 indexed citations
17.
Cartlidge, John & Seth Bullock. (2004). Unpicking Tartan CIAO Plots: Understanding Irregular Coevolutionary Cycling. Adaptive Behavior. 12(2). 69–92. 9 indexed citations
18.
Cartlidge, John & Seth Bullock. (2004). Combating Coevolutionary Disengagement by Reducing Parasite Virulence. Evolutionary Computation. 12(2). 193–222. 34 indexed citations
19.
Cartlidge, John & Seth Bullock. (2003). Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization. Bristol Research (University of Bristol). 2. 1420–1425. 16 indexed citations
20.
Bullock, Seth, John Cartlidge, & Mark G. Thompson. (2002). Prospects for Computational Steering of Evolutionary Computation. ePrints Soton (University of Southampton). 131–137. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026