Nicandro Cruz-Ramírez

612 total citations
38 papers, 372 citations indexed

About

Nicandro Cruz-Ramírez is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Nicandro Cruz-Ramírez has authored 38 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Computational Theory and Mathematics. Recurrent topics in Nicandro Cruz-Ramírez's work include Bayesian Modeling and Causal Inference (8 papers), Data Mining Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Nicandro Cruz-Ramírez is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Data Mining Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Nicandro Cruz-Ramírez collaborates with scholars based in Mexico, Spain and Canada. Nicandro Cruz-Ramírez's co-authors include Héctor‐Gabriel Acosta‐Mesa, Efrén Mezura‐Montes, Humberto Carrillo-Calvet, Alejandro Guerra‐Hernández, Homero Vladimir Ríos-Figueroa, Giner Alor‐Hernández, Nancy Aracely Cruz-Ramos, Marcela Quiróz-Castellanos, Francisco Grimaldo and Antonio Marı́n-Hernández and has published in prestigious journals such as PLoS ONE, Applied Soft Computing and Pattern Recognition Letters.

In The Last Decade

Nicandro Cruz-Ramírez

37 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicandro Cruz-Ramírez Mexico 11 214 57 44 39 39 38 372
Heba Mamdouh Farghaly Egypt 6 140 0.7× 32 0.6× 35 0.8× 37 0.9× 20 0.5× 8 339
Fatma Helmy Ismail Egypt 10 196 0.9× 40 0.7× 33 0.8× 57 1.5× 19 0.5× 19 348
Mohammed Amine Chikh Algeria 10 138 0.6× 46 0.8× 11 0.3× 62 1.6× 9 0.2× 34 279
Joaquim Cezar Felipe Brazil 10 149 0.7× 104 1.8× 9 0.2× 196 5.0× 15 0.4× 44 482
Michal Vaľko United States 9 197 0.9× 12 0.2× 21 0.5× 41 1.1× 21 0.5× 18 361
Gautam Kunapuli United States 9 141 0.7× 43 0.8× 96 2.2× 25 0.6× 13 0.3× 22 370
Mohamed Elaraby Egypt 9 180 0.8× 40 0.7× 17 0.4× 45 1.2× 9 0.2× 17 306
Apeksha Koul India 11 189 0.9× 76 1.3× 19 0.4× 78 2.0× 15 0.4× 20 436
Nabiha Azizi Algeria 11 235 1.1× 91 1.6× 12 0.3× 103 2.6× 4 0.1× 47 356
Abdelmgeid A. Ali Egypt 11 266 1.2× 85 1.5× 14 0.3× 30 0.8× 8 0.2× 27 450

Countries citing papers authored by Nicandro Cruz-Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Nicandro Cruz-Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicandro Cruz-Ramírez. 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 Nicandro Cruz-Ramírez. The network helps show where Nicandro Cruz-Ramírez may publish in the future.

Co-authorship network of co-authors of Nicandro Cruz-Ramírez

This figure shows the co-authorship network connecting the top 25 collaborators of Nicandro Cruz-Ramírez. A scholar is included among the top collaborators of Nicandro Cruz-Ramírez 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 Nicandro Cruz-Ramírez. Nicandro Cruz-Ramírez 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.
Quiróz-Castellanos, Marcela, et al.. (2024). Causal Analysis to Explain the Performance of Algorithms: A Case Study for the Bin Packing Problem. Mathematical and Computational Applications. 29(5). 73–73. 1 indexed citations
2.
Guerra‐Hernández, Alejandro, et al.. (2023). Agent-Based Models Assisted by Supervised Learning: A Proposal for Model Specification. Electronics. 12(3). 495–495. 4 indexed citations
3.
Guerra‐Hernández, Alejandro, et al.. (2023). A survey on agent‐based modelling assisted by machine learning. Expert Systems. 42(1). 5 indexed citations
4.
Quiróz-Castellanos, Marcela, et al.. (2023). An Experimental Study of Grouping Mutation Operators for the Unrelated Parallel-Machine Scheduling Problem. Mathematical and Computational Applications. 28(1). 6–6. 3 indexed citations
5.
Cruz-Ramírez, Nicandro, et al.. (2022). Wearables for Engagement Detection in Learning Environments: A Review. Biosensors. 12(7). 509–509. 27 indexed citations
6.
Mezura‐Montes, Efrén, et al.. (2020). Discriminative learning of bayesian network parameters by differential evolution. Applied Mathematical Modelling. 93. 244–256. 5 indexed citations
7.
Cruz-Ramírez, Nicandro, et al.. (2019). Robust algorithm of Clustering for the Detection of Hidden Variables in Bayesian Networks. Research in Computing Science. 148(3). 267–276. 1 indexed citations
8.
Cruz-Ramírez, Nicandro, et al.. (2017). Strategies for Growing User Popularity through Retweet: An Empirical Study. Advances in Multimedia. 2017. 1–7. 1 indexed citations
9.
Acosta‐Mesa, Héctor‐Gabriel, et al.. (2017). A feature selection method based on a neighborhood approach for contending with functional and anatomical variability in fMRI group analysis of cognitive states. Intelligent Data Analysis. 21(3). 661–677. 4 indexed citations
10.
Mezura‐Montes, Efrén, et al.. (2016). Improved multi-objective clustering with automatic determination of the number of clusters. Neural Computing and Applications. 28(8). 2255–2275. 21 indexed citations
11.
Mezura‐Montes, Efrén, et al.. (2015). Differential Evolution with a Repair Method to Solve Dynamic Constrained Optimization Problems. 1169–1172. 3 indexed citations
12.
Mezura‐Montes, Efrén, et al.. (2015). A Repair Method for Differential Evolution with Combined Variants to Solve Dynamic Constrained Optimization Problems. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 241–248. 10 indexed citations
13.
Acosta‐Mesa, Héctor‐Gabriel, et al.. (2014). Application of time series discretization using evolutionary programming for classification of precancerous cervical lesions. Journal of Biomedical Informatics. 49. 73–83. 21 indexed citations
14.
Cruz-Ramírez, Nicandro, et al.. (2014). How Good Is Crude MDL for Solving the Bias-Variance Dilemma? An Empirical Investigation Based on Bayesian Networks. PLoS ONE. 9(3). e92866–e92866. 4 indexed citations
15.
Mezura‐Montes, Efrén, et al.. (2014). Differential evolution with combined variants for dynamic constrained optimization. 975–982. 11 indexed citations
16.
Mezura‐Montes, Efrén, et al.. (2013). An Image Registration Method for Colposcopic Images. Computational and Mathematical Methods in Medicine. 2013. 1–10. 4 indexed citations
17.
Cruz-Ramírez, Nicandro, et al.. (2013). Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers. Computational and Mathematical Methods in Medicine. 2013. 1–10. 52 indexed citations
18.
Acosta‐Mesa, Héctor‐Gabriel, et al.. (2009). Aceto-white temporal pattern classification using k-NN to identify precancerous cervical lesion in colposcopic images. Computers in Biology and Medicine. 39(9). 778–784. 32 indexed citations
19.
Cruz-Ramírez, Nicandro, et al.. (2007). Diagnosis of breast cancer using Bayesian networks: A case study. Computers in Biology and Medicine. 37(11). 1553–1564. 70 indexed citations
20.
Acosta‐Mesa, Héctor‐Gabriel, et al.. (2006). Cervical Cancer Detection Using Colposcopic Images: a Temporal Approach. 158–164. 17 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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