L. Borrajo

716 total citations
27 papers, 323 citations indexed

About

L. Borrajo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, L. Borrajo has authored 27 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in L. Borrajo's work include Text and Document Classification Technologies (12 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (5 papers). L. Borrajo is often cited by papers focused on Text and Document Classification Technologies (12 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (5 papers). L. Borrajo collaborates with scholars based in Spain and Portugal. L. Borrajo's co-authors include Eva Iglesias, Juan M. Corchado, Javier Bajo, Bruno Baruque, Emilio Corchado, Rui Camacho, Rosalía Laza, Emilio Corchado, Sérgio N. Silva and Manuel de Buenaga Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

L. Borrajo

24 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Borrajo Spain	10	195	69	53	48	36	27	323
Aytürk Keleş Türkiye	8	259 1.3×	55 0.8×	80 1.5×	48 1.0×	77 2.1×	13	434
Ali Keleş Türkiye	9	268 1.4×	56 0.8×	77 1.5×	59 1.2×	82 2.3×	17	460
Rasmita Dash India	12	251 1.3×	73 1.1×	43 0.8×	108 2.3×	34 0.9×	45	430
Nabiha Azizi Algeria	11	235 1.2×	103 1.5×	45 0.8×	25 0.5×	91 2.5×	47	356
Zuhaira Muhammad Zain Saudi Arabia	6	191 1.0×	38 0.6×	64 1.2×	53 1.1×	68 1.9×	18	303
Florian Guitton United Kingdom	7	196 1.0×	33 0.5×	72 1.4×	67 1.4×	56 1.6×	11	479
Tong Ruan China	12	385 2.0×	76 1.1×	49 0.9×	173 3.6×	45 1.3×	64	543
Huirui Han China	6	114 0.6×	90 1.3×	56 1.1×	25 0.5×	19 0.5×	16	268
Dehai Zhang China	11	163 0.8×	63 0.9×	62 1.2×	25 0.5×	54 1.5×	28	301
Abdelmgeid A. Ali Egypt	11	266 1.4×	30 0.4×	45 0.8×	41 0.9×	85 2.4×	27	450

Countries citing papers authored by L. Borrajo

Since Specialization

Citations

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

Fields of papers citing papers by L. Borrajo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Borrajo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Iglesias, Eva, et al.. (2024). New Metrics and Dataset for Biological Development Video Generation. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–23.

Iglesias, Eva, et al.. (2024). Improving Generation and Evaluation of Long Image Sequences for Embryo Development Prediction. Electronics. 13(3). 476–476. 1 indexed citations

Iglesias, Eva, et al.. (2024). Modified LDA vector and feedback analysis for short query Information Retrieval systems. Logic Journal of IGPL. 33(5).

Iglesias, Eva, et al.. (2023). Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological Development. Information. 15(1). 12–12.

Iglesias, Eva, et al.. (2022). A survey on deep learning applied to medical images: from simple artificial neural networks to generative models. Neural Computing and Applications. 35(3). 2291–2323. 92 indexed citations

Iglesias, Eva, et al.. (2022). MobyDeep: A lightweight CNN architecture to configure models for text classification. Knowledge-Based Systems. 257. 109914–109914. 16 indexed citations

Camacho, Rui, et al.. (2022). A Novel Multi-View Ensemble Learning Architecture to Improve the Structured Text Classification. Information. 13(6). 283–283. 9 indexed citations

Camacho, Rui, et al.. (2021). Classification of Full Text Biomedical Documents: Sections Importance Assessment. Applied Sciences. 11(6). 2674–2674. 3 indexed citations

Iglesias, Eva, et al.. (2020). LDA filter: A Latent Dirichlet Allocation preprocess method for Weka. PLoS ONE. 15(11). e0241701–e0241701. 9 indexed citations

10.

Borrajo, L., et al.. (2019). An HMM-based synthetic view generator to improve the efficiency of ensemble systems. Logic Journal of IGPL. 28(1). 4–18. 2 indexed citations

11.

Borrajo, L., et al.. (2016). Improving the text classification using clustering and a novel HMM to reduce the dimensionality. Computer Methods and Programs in Biomedicine. 136. 119–130. 14 indexed citations

12.

Iglesias, Eva, et al.. (2016). An HMM-Based Text Classifier Less Sensitive to Document Management Problems. Current Bioinformatics. 11(5). 503–514. 1 indexed citations

13.

Rodríguez, Manuel de Buenaga, Diego Gachet Páez, Manuel Jesús Maña López, et al.. (2015). IPHealth: Plataforma inteligente basada en open, linked y big data para la toma de decisiones y aprendizaje en el ámbito de la salud. Procesamiento del lenguaje natural. 55(55). 161–164. 1 indexed citations

14.

Iglesias, Eva, et al.. (2015). A Linear-RBF Multikernel SVM to Classify Big Text Corpora. BioMed Research International. 2015. 1–14. 23 indexed citations

15.

Borrajo, L., et al.. (2014). TCBR-HMM: An HMM-based text classifier with a CBR system. Applied Soft Computing. 26. 463–473. 9 indexed citations

16.

Iglesias, Eva, et al.. (2012). Applying Balancing Techniques to Classify Biomedical Documents: An Empirical Study. 8. 186–201. 2 indexed citations

17.

Borrajo, L., et al.. (2011). Improving imbalanced scientific text classification using sampling strategies and dictionaries. PubMed. 8(3). 176–176. 13 indexed citations

18.

Borrajo, L., Bruno Baruque, Emilio Corchado, Javier Bajo, & Juan M. Corchado. (2011). HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES. International Journal of Neural Systems. 21(4). 277–296. 32 indexed citations

19.

Borrajo, L., et al.. (2009). Multi-agent neural business control system. Information Sciences. 180(6). 911–927. 14 indexed citations

20.

Corchado, Juan M., et al.. (2003). INCREASING THE AUTONOMY OF DELIBERATIVE AGENTS WITH A CASE-BASED REASONING SYSTEM. International Journal of Computational Intelligence and Applications. 3(1). 101–118. 5 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.

Explore authors with similar magnitude of impact