Carlos Molina

427 total citations
47 papers, 224 citations indexed

About

Carlos Molina is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Carlos Molina has authored 47 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 20 papers in Information Systems and 16 papers in Signal Processing. Recurrent topics in Carlos Molina's work include Data Mining Algorithms and Applications (14 papers), Speech Recognition and Synthesis (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Carlos Molina is often cited by papers focused on Data Mining Algorithms and Applications (14 papers), Speech Recognition and Synthesis (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Carlos Molina collaborates with scholars based in Spain, Chile and Cuba. Carlos Molina's co-authors include M.A. Vila, Néstor Becerra Yoma, Daniel Sánchez, José-Marı́a Serrano, Nicolás Marı́n, Fernando Huenupán, Lázaro Rodríguez Ariza, Carlos Rodríguez, María Martínez‐Rojas and L. Rajendran and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Carlos Molina

42 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carlos Molina Spain	9	118	66	65	31	30	47	224
Yue Han China	8	180 1.5×	51 0.8×	59 0.9×	82 2.6×	11 0.4×	15	318
Ranjeet Kumar Ranjan India	8	136 1.2×	38 0.6×	26 0.4×	50 1.6×	9 0.3×	18	241
G. Kumaravelan India	9	112 0.9×	10 0.2×	40 0.6×	52 1.7×	23 0.8×	24	259
Tanvir Habib Sardar India	9	97 0.8×	23 0.3×	79 1.2×	35 1.1×	3 0.1×	29	177
Ishu Sharma India	10	82 0.7×	87 1.3×	82 1.3×	174 5.6×	11 0.4×	84	346
Devesh Kumar Srivastava India	8	127 1.1×	55 0.8×	66 1.0×	94 3.0×	3 0.1×	35	276
Shashikumar G. Totad India	9	68 0.6×	17 0.3×	97 1.5×	55 1.8×	16 0.5×	31	165
Marcin Szczuka Poland	9	98 0.8×	35 0.5×	63 1.0×	11 0.4×	87 2.9×	27	178
Udai Shanker India	10	51 0.4×	21 0.3×	89 1.4×	248 8.0×	22 0.7×	55	329
L. SaiRamesh India	9	76 0.6×	35 0.5×	44 0.7×	132 4.3×	10 0.3×	27	230

Countries citing papers authored by Carlos Molina

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Molina

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

All Works

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20 of 20 papers shown

Molina, Carlos, et al.. (2021). Federated Mining of Interesting Association Rules Over EHRs. Studies in health technology and informatics. 287. 3–7. 1 indexed citations

Molina, Carlos, et al.. (2020). Providing an Integrated Access to EHR Using Electronic Health Records Aggregators. Studies in health technology and informatics. 270. 402–406. 2 indexed citations

Molina, Carlos, et al.. (2020). Measuring the Quality of Data in Electronic Health Records Aggregators. Institutional Repository of the University of Granada (University of Granada). 1–6.

Molina, Carlos, et al.. (2020). Knowledge redundancy approach to reduce size in association rules. Informatica. 44(2). 3 indexed citations

Molina, Carlos, et al.. (2019). Diseases Detection in Blueberry Leaves using Computer Vision and Machine Learning Techniques. International Journal of Machine Learning and Computing. 9(5). 656–661. 25 indexed citations

Molina, Carlos, et al.. (2016). Reducción de Redundancia en Reglas de Asociación. 10(1). 55–70. 1 indexed citations

Martínez‐Rojas, María, et al.. (2016). An intelligent system for cost data handling in construction projects. 14. 359–366. 1 indexed citations

Martı́n-Bautista, Marı́a J., et al.. (2013). A new multidimensional model with text dimensions: definition and implementation. International Journal of Computational Intelligence Systems. 6(1). 137–137. 2 indexed citations

Molina, Carlos, Daniel Sánchez, José-Marı́a Serrano, & M.A. Vila. (2009). Managing the Absence of Items in Fuzzy Association Mining. European Society for Fuzzy Logic and Technology Conference. 1571–1576. 1 indexed citations

10.

Marı́n, Nicolás, Carlos Molina, Olga Pons, & M.A. Vila. (2009). Semantically-driven flexible division in fuzzy object oriented models. European Society for Fuzzy Logic and Technology Conference. 1039–1044. 2 indexed citations

11.

Molina, Carlos, et al.. (2009). ASR based pronunciation evaluation with automatically generated competing vocabulary and classifier fusion. Speech Communication. 51(6). 485–498. 14 indexed citations

12.

Molina, Carlos, et al.. (2009). ASR based pronunciation evaluation with automatically generated competing vocabulary. 1907–1910. 1 indexed citations

13.

Huenupán, Fernando, et al.. (2008). Confidence based multiple classifier fusion in speaker verification. Pattern Recognition Letters. 29(7). 957–966. 19 indexed citations

14.

Molina, Carlos, José-Marı́a Serrano, Daniel Sánchez, & M.A. Vila. (2007). Measuring Variation Strength in Gradual Dependencies.. European Society for Fuzzy Logic and Technology Conference. 337–344. 9 indexed citations

15.

Krattiger, A., R. T. Mahoney, L. Nelsen, et al.. (2007). What the public sector should know about venture capital.. 1281–1287. 1 indexed citations

16.

Yoma, Néstor Becerra, et al.. (2007). Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech. Speech Communication. 50(11-12). 953–964. 2 indexed citations

17.

Yoma, Néstor Becerra, et al.. (2006). Intra-speaker variability compensation in speaker verification with limited enrolling data. paper 1425–Mon3A1O.5.

18.

Molina, Carlos, et al.. (2005). Using Fuzzy DataCube for Exploratory Analysis in Financial Economy.. European Society for Fuzzy Logic and Technology Conference. 424–429. 1 indexed citations

19.

Yoma, Néstor Becerra, et al.. (2005). Bayes-based confidence measure in speech recognition. IEEE Signal Processing Letters. 12(11). 745–748. 11 indexed citations

20.

Muñoz-Rodríguez, D., et al.. (2003). Internet services on enhanced CDPD systems. 26. 87–92. 1 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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