Carmelo Rodríguez

411 total citations
33 papers, 294 citations indexed

About

Carmelo Rodríguez is a scholar working on Management Science and Operations Research, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Carmelo Rodríguez has authored 33 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Computational Theory and Mathematics. Recurrent topics in Carmelo Rodríguez's work include Optimal Experimental Design Methods (10 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Manufacturing Process and Optimization (6 papers). Carmelo Rodríguez is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Manufacturing Process and Optimization (6 papers). Carmelo Rodríguez collaborates with scholars based in Spain, Hungary and Sweden. Carmelo Rodríguez's co-authors include Amadeo R. Fernández‐Alba, Antonio Salmerón, Milagros Mezcúa, E. Alves, Juan M. Rodríguez‐Díaz, C. Óvilo, L. Silió, Arne Andersson, Zoltán Varga and Sonja Masselter and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Theoretical Biology and TrAC Trends in Analytical Chemistry.

In The Last Decade

Carmelo Rodríguez

30 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmelo Rodríguez Spain 11 99 53 47 42 40 33 294
K.J Versyck Belgium 9 74 0.7× 58 1.1× 37 0.8× 53 1.3× 137 3.4× 24 413
Γεώργιος Παπαδόπουλος Greece 14 89 0.9× 29 0.5× 20 0.4× 5 0.1× 38 0.9× 45 492
Nelson Lee Afanador United States 8 34 0.3× 8 0.2× 169 3.6× 21 0.5× 98 2.5× 14 396
Esmée M. Janssen Netherlands 7 164 1.7× 8 0.2× 35 0.7× 8 0.2× 101 2.5× 9 374
Roger Mead United Kingdom 8 11 0.1× 109 2.1× 9 0.2× 16 0.4× 10 0.3× 16 267
Xavier Capron Belgium 10 96 1.0× 21 0.4× 141 3.0× 23 0.5× 83 2.1× 13 349
Bo‐Cheng Wei China 16 44 0.4× 93 1.8× 28 0.6× 7 0.2× 8 0.2× 56 726
Jin Zhu China 8 18 0.2× 7 0.1× 52 1.1× 11 0.3× 28 0.7× 15 244
Yue Niu United States 10 13 0.1× 9 0.2× 18 0.4× 8 0.2× 101 2.5× 24 413
Mengya Liu China 12 162 1.6× 6 0.1× 10 0.2× 124 3.0× 264 6.6× 33 604

Countries citing papers authored by Carmelo Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Carmelo Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmelo Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Carmelo Rodríguez. A scholar is included among the top collaborators of Carmelo Rodríguez 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 Carmelo Rodríguez. Carmelo Rodríguez 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.
Rodríguez, Carmelo, et al.. (2025). Dynamic sentinel node biopsy in penile cancer: 25 years of experience at a tertiary oncological center. Actas Urológicas Españolas (English Edition). 49(4). 501721–501721.
2.
Rodríguez, Carmelo, et al.. (2020). Validation of a Sagittal Section Technique for Measuring Clitoral Blood Flow. Volume Flow: A New Parameter in Clitoral Artery Doppler. The Journal of Sexual Medicine. 17(6). 1109–1117. 1 indexed citations
3.
Rodríguez, Carmelo, et al.. (2019). A study of lactation curves in dairy cattle using the optimal design of experiments methodology. Italian Journal of Animal Science. 18(1). 594–600. 1 indexed citations
4.
Collado, Argimiro, et al.. (2018). Functional follow-up after Advance® and Advance XP® male sling surgery: assessment of predictive factors. World Journal of Urology. 37(1). 195–200. 15 indexed citations
5.
Gámez, M., I. López, Carmelo Rodríguez, Zoltán Varga, & József Garay. (2018). Game-theoretical model for marketing cooperative in fisheries. Applied Mathematics and Computation. 329. 325–338. 2 indexed citations
6.
Gámez, M., I. López, Carmelo Rodríguez, Zoltán Varga, & József Garay. (2017). Ecological monitoring in a discrete-time prey–predator model. Journal of Theoretical Biology. 429. 52–60. 16 indexed citations
7.
López, I., Carmelo Rodríguez, M. Gámez, Zoltán Varga, & József Garay. (2017). Change-Point Method Applied to the Detection of Temporal Variations in Seafloor Bacterial Mat Coverage. Journal of Environmental Informatics. 4 indexed citations
8.
Backhaus, M., et al.. (2016). Asociación del síndrome de hipogonadismo tardío y síndrome metabólico con el cáncer de próstata y su agresividad. Actas Urológicas Españolas. 40(7). 440–445. 2 indexed citations
9.
Rodríguez, Carmelo, et al.. (2015). A-optimal designs for heteroscedastic multifactor regression models. Communication in Statistics- Theory and Methods. 45(3). 757–771. 5 indexed citations
10.
Backhaus, M., et al.. (2015). Síntomas del tracto urinario inferior y función eréctil en pacientes con sospecha de cáncer de próstata. Actas Urológicas Españolas. 39(6). 360–366. 2 indexed citations
11.
Backhaus, M., et al.. (2014). Nefrometrías: reproducibilidad interobservador y predicción de factores perioperatorios. Actas Urológicas Españolas. 38(8). 523–529. 3 indexed citations
12.
Rodríguez, Carmelo, et al.. (2014). Locally and maximin optimal designs for multi-factor nonlinear models. Statistics. 49(5). 1157–1168. 9 indexed citations
13.
Backhaus, M., et al.. (2014). Nephrometry scores: Interobserver reproducibility and perioperative factors prediction. Actas Urológicas Españolas (English Edition). 38(8). 523–529. 4 indexed citations
14.
15.
Rodríguez, Carmelo, et al.. (2009). Optimal designs for weighted rational models. Applied Mathematics Letters. 22(12). 1892–1895. 2 indexed citations
16.
Rodríguez, Carmelo, et al.. (2007). SELECTIVE NAIVE BAYES FOR REGRESSION BASED ON MIXTURES OF TRUNCATED EXPONENTIALS. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 15(6). 697–716. 14 indexed citations
17.
Rodríguez, Carmelo, et al.. (2006). Dynamic importance sampling in Bayesian networks using factorisation of probability trees.. 187–194. 2 indexed citations
18.
Rodríguez, Carmelo, et al.. (2004). D-optimum designs in multi-factor models with heteroscedastic errors. Journal of Statistical Planning and Inference. 128(2). 623–631. 14 indexed citations
19.
20.
Moral, Serafı́n, et al.. (2002). Factorisation of Probability Trees and its Application to Inference in Bayesian Networks.. 28(3). 250–3. 4 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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