Ignacio Requena

1.6k total citations
47 papers, 1.1k citations indexed

About

Ignacio Requena is a scholar working on Artificial Intelligence, Information Systems and Surgery. According to data from OpenAlex, Ignacio Requena has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Surgery. Recurrent topics in Ignacio Requena's work include Fuzzy Logic and Control Systems (10 papers), Neural Networks and Applications (8 papers) and Semantic Web and Ontologies (7 papers). Ignacio Requena is often cited by papers focused on Fuzzy Logic and Control Systems (10 papers), Neural Networks and Applications (8 papers) and Semantic Web and Ontologies (7 papers). Ignacio Requena collaborates with scholars based in Spain, Colombia and Mexico. Ignacio Requena's co-authors include José M. Benítez, Juan Luis Castro, Montserrat Zamorano, Javier Toro, Miguel Delgado‐Rodríguez, Juan José Ortiz, Julián Garrido, Armando Blanco, Diego P. Ruíz and Antonio J. Torija and has published in prestigious journals such as Spine, The Journal of the Acoustical Society of America and Expert Systems with Applications.

In The Last Decade

Ignacio Requena

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ignacio Requena Spain	16	337	147	122	113	111	47	1.1k
Antanas Verikas Lithuania	23	915 2.7×	42 0.3×	140 1.1×	64 0.6×	130 1.2×	117	2.5k
Bert de Vries Netherlands	29	393 1.2×	107 0.7×	142 1.2×	74 0.7×	146 1.3×	123	2.7k
Anil Kumar India	30	430 1.3×	31 0.2×	68 0.6×	35 0.3×	133 1.2×	252	2.9k
Marija Bačauskienė Lithuania	18	772 2.3×	16 0.1×	105 0.9×	28 0.2×	109 1.0×	71	1.8k
Adas Gelžinis Lithuania	18	668 2.0×	16 0.1×	97 0.8×	30 0.3×	72 0.6×	52	1.6k
Ana Maria A. C. Rocha Portugal	16	327 1.0×	48 0.3×	29 0.2×	74 0.7×	64 0.6×	98	1.0k
Tzu-Tsung Wong Taiwan	12	593 1.8×	26 0.2×	66 0.5×	80 0.7×	62 0.6×	19	2.2k
Xiaoyu He China	20	495 1.5×	39 0.3×	57 0.5×	71 0.6×	46 0.4×	52	1.3k
Zhe Jiang United States	21	310 0.9×	45 0.3×	37 0.3×	173 1.5×	59 0.5×	145	1.7k
Uzair Aslam Bhatti China	32	502 1.5×	26 0.2×	79 0.6×	70 0.6×	112 1.0×	170	3.2k

Countries citing papers authored by Ignacio Requena

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio Requena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Requena

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Requena. A scholar is included among the top collaborators of Ignacio Requena 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 Ignacio Requena. Ignacio Requena 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

Wrachien, Daniele De, Julián Garrido, S. Mambretti, & Ignacio Requena. (2012). Ontology for flood management: a proposal. WIT transactions on ecology and the environment. 1. 3–13. 11 indexed citations

Toro, Javier, et al.. (2011). Determining Vulnerability Importance in Environmental Impact Assessment. Environmental Impact Assessment Review. 32(1). 107–117. 58 indexed citations

Garrido, Julián & Ignacio Requena. (2009). KNOWLEDGE REPRESENTATION IN ENVIRONMENTAL IMPACT ASSESSMENT - A Case of Study with High Level Requirements in Validation. 412–415. 1 indexed citations

Requena, Ignacio, et al.. (2007). Fuzzy Techniques for Environmental-Impact Assessment in the Mineral Deposit of Punta Gorda (Moa, Cuba). Environmental Technology. 28(6). 659–669. 18 indexed citations

Delgado, Miguel, et al.. (2006). An arithmetic approach for the computing with words paradigm: Research Articles. Journal of Intelligent Systems. 21(2). 121–142. 3 indexed citations

Delgado-Prieto, Miguel, et al.. (2005). Knowledge Mobilization through Re-addressable Ontologies. European Society for Fuzzy Logic and Technology Conference. 154–158. 5 indexed citations

Ortiz, Juan José & Ignacio Requena. (2005). Azcatl-CRP: An ant colony-based system for searching full power control rod patterns in BWRs. Annals of Nuclear Energy. 33(1). 30–36. 9 indexed citations

Delgado‐Fernández, Manuel, et al.. (2005). An arithmetic approach for the computing with words paradigm. International Journal of Intelligent Systems. 21(2). 121–142. 11 indexed citations

Arias, Manuel, et al.. (2004). Acute Spinal Epidural Hematoma and Systemic Mastocytosis. Spine. 29(8). E161–E163. 6 indexed citations

10.

Requena, Ignacio, Armando Blanco, & Miguel Delgado‐Rodríguez. (2003). A Constructive Method for Building Fuzzy Rule-Based Systems. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 11(2). 217–233. 1 indexed citations

11.

Ortiz, Juan José & Ignacio Requena. (2002). OPTIMIZATION OF FUEL RELOAD IN A BWR NUCLEAR REACTOR USING A RECURRENT NEURAL NETWORK. 544–551. 1 indexed citations

12.

Benítez, José M., Juan Luis Castro, & Ignacio Requena. (1997). Are artificial neural networks black boxes?. IEEE Transactions on Neural Networks. 8(5). 1156–1164. 346 indexed citations

13.

Arias, Manuel, et al.. (1996). [Autoscopy and multiple sclerosis].. PubMed. 11(6). 230–2. 1 indexed citations

14.

Arias, Manuel, et al.. (1995). A case of deaf–mutism as an expression of pure word deafness: neuroimaging and electrophysiological data. European Journal of Neurology. 2(6). 583–585. 6 indexed citations

15.

Blanco, Armando, Miguel Delgado‐Rodríguez, & Ignacio Requena. (1995). Identification of fuzzy relational equations by fuzzy neural networks. Fuzzy Sets and Systems. 71(2). 215–226. 28 indexed citations

16.

Blanco, Armando, Miguel Delgado‐Rodríguez, & Ignacio Requena. (1994). Solving fuzzy relational equations by max-min neural networks. 1737–1742 vol.3. 11 indexed citations

17.

Requena, Luis, et al.. (1991). Clear Cell Squamous Cell Carcinoma: A Histologic, Immunohistologic, and Ultrastructural Study. The Journal of Dermatologic Surgery and Oncology. 17(8). 656–660. 23 indexed citations

18.

Requena, Luís, et al.. (1990). Trichogenic Trichoblastoma An Unusual Neoplasm of Hair Germ. American Journal of Dermatopathology. 12(2). 775–775. 15 indexed citations

19.

Carracedo, Ãngel, L. Concheiro, & Ignacio Requena. (1985). The isoelectric focusing of keratins in hair followed by silver staining. Forensic Science International. 29(1-2). 83–89. 15 indexed citations

20.

Carracedo, Ãngel, L. Concheiro, Ignacio Requena, & Manuel López‐Rivadulla. (1983). A silver staining method for the detection of polymorphic proteins in minute bloodstains after isoelectric focusing. Forensic Science International. 23(2-3). 241–248. 14 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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