Rui Neves

1.5k total citations
46 papers, 1.1k citations indexed

About

Rui Neves is a scholar working on Management Science and Operations Research, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Rui Neves has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Management Science and Operations Research, 16 papers in Economics and Econometrics and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Rui Neves's work include Stock Market Forecasting Methods (26 papers), Complex Systems and Time Series Analysis (12 papers) and Time Series Analysis and Forecasting (8 papers). Rui Neves is often cited by papers focused on Stock Market Forecasting Methods (26 papers), Complex Systems and Time Series Analysis (12 papers) and Time Series Analysis and Forecasting (8 papers). Rui Neves collaborates with scholars based in Portugal, United States and Brazil. Rui Neves's co-authors include Nuno Horta, Miguel Correia, Mohammad Ali Fotouhi Ghazvini, Zita Vale, João Soares, Rui Castro, Nuno Neves, Paulo Verı́ssimo, António Canelas and José Rui Figueira and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and IEEE Transactions on Software Engineering.

In The Last Decade

Rui Neves

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Neves Portugal 16 464 294 265 237 188 46 1.1k
Benjamin Asubam Weyori Ghana 15 497 1.1× 264 0.9× 196 0.7× 250 1.1× 159 0.8× 60 1.2k
Mark T. Leung United States 15 910 2.0× 366 1.2× 491 1.9× 319 1.3× 273 1.5× 32 1.4k
Ömer Berat Sezer Türkiye 8 286 0.6× 182 0.6× 119 0.4× 151 0.6× 116 0.6× 13 803
V. N. Sastry India 15 300 0.6× 181 0.6× 118 0.4× 247 1.0× 89 0.5× 53 891
Thomas Fischer Germany 7 1.1k 2.3× 470 1.6× 506 1.9× 287 1.2× 426 2.3× 16 1.6k
Chen-Hao Liu Taiwan 9 519 1.1× 164 0.6× 169 0.6× 351 1.5× 91 0.5× 16 913
Wei Dai China 15 258 0.6× 253 0.9× 283 1.1× 116 0.5× 28 0.1× 72 905
Cuixia Jiang China 25 246 0.5× 223 0.8× 473 1.8× 318 1.3× 281 1.5× 82 1.5k
Chih‐Chou Chiu Taiwan 13 537 1.2× 269 0.9× 201 0.8× 454 1.9× 193 1.0× 21 1.2k
Ritanjali Majhi India 17 442 1.0× 215 0.7× 244 0.9× 336 1.4× 68 0.4× 55 1.0k

Countries citing papers authored by Rui Neves

Since Specialization
Citations

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

Fields of papers citing papers by Rui Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Neves. A scholar is included among the top collaborators of Rui Neves 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 Rui Neves. Rui Neves 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.
Neves, Rui, et al.. (2024). A cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling. Computers & Operations Research. 172. 106805–106805. 2 indexed citations
2.
Figueira, José Rui, et al.. (2022). Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming. Expert Systems with Applications. 209. 118194–118194. 44 indexed citations
3.
Neves, Rui, et al.. (2021). Financial Data Resampling for Machine Learning Based Trading. SpringerBriefs in applied sciences and technology. 1 indexed citations
4.
Martins, Tiago & Rui Neves. (2020). Applying genetic algorithms with speciation for optimization of grid template pattern detection in financial markets. Expert Systems with Applications. 147. 113191–113191. 13 indexed citations
5.
Neves, Rui, et al.. (2018). Combining Support Vector Machine with Genetic Algorithms to optimize investments in Forex markets with high leverage. Applied Soft Computing. 64. 596–613. 52 indexed citations
6.
Gomes, Carlos Francısco Sımões, Rui Neves, & Nuno Horta. (2017). Using sentiment from Twitter optimized by Genetic Algorithms to predict the stock market. 1303–1310. 3 indexed citations
7.
Neves, Rui, et al.. (2016). Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA. SpringerBriefs in applied sciences and technology. 3 indexed citations
8.
Leitão, João, Rui Neves, & Nuno Horta. (2016). Combining rules between PIPs and SAX to identify patterns in financial markets. Expert Systems with Applications. 65. 242–254. 10 indexed citations
9.
Neves, Rui, et al.. (2016). Company event popularity for financial markets using Twitter and sentiment analysis. Expert Systems with Applications. 71. 111–124. 78 indexed citations
10.
Magaia, Naércio, Nuno Horta, Rui Neves, Paulo Rogério Pereira, & Miguel Correia. (2015). A multi-objective routing algorithm for Wireless Multimedia Sensor Networks. Applied Soft Computing. 30. 104–112. 45 indexed citations
11.
Canelas, António, Rui Neves, & Nuno Horta. (2013). Multi-dimensional pattern discovery in financial time series using sax-ga with extended robustness. 179–180. 4 indexed citations
12.
Canelas, António, Rui Neves, & Nuno Horta. (2012). Investment Strategies Optimization based on a SAX-GA Methodology. SpringerBriefs in applied sciences and technology. 2 indexed citations
13.
Canelas, António, Rui Neves, & Nuno Horta. (2012). A new SAX-GA methodology applied to investment strategies optimization. 1055–1062. 11 indexed citations
14.
Neves, Rui, et al.. (2012). Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies. SpringerBriefs in applied sciences and technology. 3 indexed citations
15.
Goês, João, et al.. (2009). Design of a low-power, open loop, multiply-by-two amplifier with gain-accuracy improved by local-feedback. International Conference Mixed Design of Integrated Circuits and Systems. 248–251. 2 indexed citations
16.
Pedrosa, Luis, Pedro O. S. Vaz de Melo, Rui M. Rocha, & Rui Neves. (2009). A flexible approach to WSN development and deployment. International Journal of Sensor Networks. 6(3/4). 199–199. 6 indexed citations
17.
Pedrosa, Luis, Pedro O. S. Vaz de Melo, Rui M. Rocha, & Rui Neves. (2008). A Flexible Approach to WSN Deployment. 1–6. 4 indexed citations
18.
Neves, Nuno, et al.. (2006). Using Attack Injection to Discover New Vulnerabilities. 3501. 457–466. 33 indexed citations
19.
20.
Neves, Rui & J.E. Franca. (2000). A CMOS switched-capacitor bandpass filter with 100 Msample/s input sampling and frequency downconversion. European Solid-State Circuits Conference. 276–279. 6 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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