Waldyn G. Martinez

459 total citations
9 papers, 299 citations indexed

About

Waldyn G. Martinez is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Waldyn G. Martinez has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Statistics and Probability. Recurrent topics in Waldyn G. Martinez's work include Advanced Statistical Process Monitoring (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Statistical Methods and Models (3 papers). Waldyn G. Martinez is often cited by papers focused on Advanced Statistical Process Monitoring (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Advanced Statistical Methods and Models (3 papers). Waldyn G. Martinez collaborates with scholars based in United States and Taiwan. Waldyn G. Martinez's co-authors include Fadel M. Megahed, Lin Lü, L. Allison Jones‐Farmer, Chen Li, Yao‐Te Tsai and James R. Barth and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Waldyn G. Martinez

8 papers receiving 283 citations

Peers

Waldyn G. Martinez

MSOR

EE

EEE

AI

FINAN

Hamid Reza Golmakani Iran

Rupak Bhattacharyya India

Jung-Sik Hong South Korea

Woo-Tsong Lin Taiwan

P. Sevastianov Poland

Hans-Jakob Lüthi Switzerland

Yuhan Zhang China

Csaba I. Fábián Hungary

Hamid Reza Golmakani Iran

Waldyn G. Martinez

251 ×1.6

MSOR

47 ×0.8

EE

29 ×0.5

EEE

52 ×0.9

AI

98 ×1.9

FINAN

Citations per year, relative to Waldyn G. Martinez Waldyn G. Martinez (= 1×) peers Hamid Reza Golmakani

Countries citing papers authored by Waldyn G. Martinez

Since Specialization

Citations

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

Fields of papers citing papers by Waldyn G. Martinez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Waldyn G. Martinez. 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 Waldyn G. Martinez. The network helps show where Waldyn G. Martinez may publish in the future.

Co-authorship network of co-authors of Waldyn G. Martinez

This figure shows the co-authorship network connecting the top 25 collaborators of Waldyn G. Martinez. A scholar is included among the top collaborators of Waldyn G. Martinez 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 Waldyn G. Martinez. Waldyn G. Martinez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Martinez, Waldyn G., et al.. (2021). Robustness of the one‐class Peeling method to the Gaussian Kernel Bandwidth. Quality and Reliability Engineering International. 38(3). 1289–1301.

2.

Martinez, Waldyn G.. (2021). Ensemble Pruning via Quadratic Margin Maximization. IEEE Access. 9. 48931–48951. 6 indexed citations

3.

Martinez, Waldyn G., et al.. (2020). A one‐class peeling method for multivariate outlier detection with applications in phase I SPC. Quality and Reliability Engineering International. 36(4). 1272–1295. 7 indexed citations

4.

Lü, Lin, et al.. (2018). Predicting short-term stock prices using ensemble methods and online data sources. Expert Systems with Applications. 112. 258–273. 173 indexed citations

5.

Martinez, Waldyn G., Yao‐Te Tsai, Chen Li, et al.. (2018). Macroeconomic indicators alone can predict the monthly closing price of major U.S. indices: Insights from artificial intelligence, time-series analysis and hybrid models. Applied Soft Computing. 71. 685–697. 28 indexed citations

6.

Martinez, Waldyn G., et al.. (2017). On the Selection of the Bandwidth Parameter for the k‐Chart. Quality and Reliability Engineering International. 33(7). 1527–1547. 3 indexed citations

7.

Martinez, Waldyn G., et al.. (2016). Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective. Journal of Quality Technology. 48(1). 4–24. 72 indexed citations

8.

Martinez, Waldyn G., et al.. (2015). Noise peeling methods to improve boosting algorithms. Computational Statistics & Data Analysis. 93. 483–497. 8 indexed citations

9.

Martinez, Waldyn G., et al.. (2014). The role of margins in boosting and ensemble performance. Wiley Interdisciplinary Reviews Computational Statistics. 6(2). 124–131. 2 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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