Fernando Berzal

2.1k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Fernando Berzal is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Fernando Berzal has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Information Systems and 15 papers in Signal Processing. Recurrent topics in Fernando Berzal's work include Data Mining Algorithms and Applications (18 papers), Rough Sets and Fuzzy Logic (13 papers) and Data Management and Algorithms (12 papers). Fernando Berzal is often cited by papers focused on Data Mining Algorithms and Applications (18 papers), Rough Sets and Fuzzy Logic (13 papers) and Data Management and Algorithms (12 papers). Fernando Berzal collaborates with scholars based in Spain, Ireland and Poland. Fernando Berzal's co-authors include Juan-Carlos Cubero, Víctor Martínez, Nicolás Marı́n, Daniel Sánchez, M.A. Vila, Ignacio J. Blanco, José-Marı́a Serrano, Marı́a J. Martı́n-Bautista, Olga Pons and Sławomir Zadrożny and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Fernando Berzal

46 papers receiving 1.1k citations

Hit Papers

A Survey of Link Prediction in Complex Networks 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey of Link Prediction in Complex Networks
    2016 444 citations Víctor Martínez, Fernando Berzal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Berzal Spain 14 725 415 367 262 242 48 1.2k
S. P. Rajagopalan India 15 405 0.6× 473 1.1× 415 1.1× 361 1.4× 92 0.4× 48 1.3k
Francesco Gullo Italy 21 593 0.8× 196 0.5× 488 1.3× 266 1.0× 143 0.6× 64 1.1k
Ricardo B. C. Prudêncio Brazil 19 711 1.0× 262 0.6× 197 0.5× 86 0.3× 256 1.1× 91 1.3k
Srikanta Bedathur India 17 456 0.6× 279 0.7× 181 0.5× 296 1.1× 52 0.2× 77 896
Linhong Zhu United States 14 500 0.7× 255 0.6× 403 1.1× 226 0.9× 99 0.4× 18 1.0k
Bhaskar Biswas India 21 558 0.8× 221 0.5× 597 1.6× 131 0.5× 95 0.4× 86 1.1k
Jason Y. Zien United States 13 798 1.1× 627 1.5× 145 0.4× 383 1.5× 65 0.3× 24 1.5k
C. R. Ramakrishnan United States 22 1.1k 1.5× 548 1.3× 79 0.2× 442 1.7× 227 0.9× 86 1.7k
Guohui Li China 19 523 0.7× 477 1.1× 204 0.6× 460 1.8× 58 0.2× 187 1.6k
Peixiang Zhao United States 17 970 1.3× 425 1.0× 555 1.5× 411 1.6× 86 0.4× 33 1.6k

Countries citing papers authored by Fernando Berzal

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Berzal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Berzal

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Berzal. A scholar is included among the top collaborators of Fernando Berzal 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 Fernando Berzal. Fernando Berzal 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.
Berzal, Fernando, et al.. (2019). NOESIS: A Framework for Complex Network Data Analysis. Complexity. 2019(1). 5 indexed citations
2.
Martínez, Víctor, Fernando Berzal, & Juan-Carlos Cubero. (2015). Adaptive degree penalization for link prediction. Journal of Computational Science. 13. 1–9. 32 indexed citations
3.
4.
Quesada, Luis, et al.. (2012). Parallel Finite State Machines for Very Fast Distributable Regular Expression Matching. 105–110. 1 indexed citations
5.
Berzal, Fernando, et al.. (2011). LAMB - A Lexical Analyzer with Ambiguity Support. 297–300. 2 indexed citations
6.
Berzal, Fernando, et al.. (2011). Using trees to mine multirelational databases. Data Mining and Knowledge Discovery. 24(1). 1–39. 10 indexed citations
7.
Berzal, Fernando, et al.. (2010). POTMiner: mining ordered, unordered, and partially-ordered trees. Knowledge and Information Systems. 23(2). 199–224. 6 indexed citations
8.
Quesada, Luis, Fernando Berzal, & Juan-Carlos Cubero. (2010). JSIMIL - A Java Bytecode Clone Detector. 333–336. 1 indexed citations
9.
Berzal, Fernando, Nicolás Marı́n, Olga Pons, & M.A. Vila. (2007). Managing fuzziness on conventional object-oriented platforms. International Journal of Intelligent Systems. 22(7). 781–803. 15 indexed citations
10.
Berzal, Fernando, et al.. (2006). Taking class importance into account. 1. 1–6. 1 indexed citations
11.
Berzal, Fernando & Juan-Carlos Cubero. (2006). Guest editors’ introduction. Data & Knowledge Engineering. 60(1). 1–4. 3 indexed citations
12.
Berzal, Fernando, Nicolás Marı́n, Olga Pons, & M.A. Vila. (2005). Development of applications with fuzzy objects in modern programming platforms: Research Articles. International Journal of Intelligent Systems. 20(11). 1117–1136. 4 indexed citations
13.
Berzal, Fernando. (2005). The Editable Web. IEEE Distributed Systems Online. 6(3). 6–6. 1 indexed citations
14.
Berzal, Fernando, et al.. (2005). Association rule evaluation for classification purposes. 135–144. 7 indexed citations
15.
16.
Berzal, Fernando, Juan-Carlos Cubero, Nicolás Marı́n, José-Marı́a Serrano, & Ignacio J. Blanco. (2003). Usability Issues in Data Mining Systems.. International Conference on Enterprise Information Systems. 418–421. 2 indexed citations
17.
Berzal, Fernando, Juan-Carlos Cubero, Nicolás Marı́n, & Daniel Sánchez. (2003). Building multi-way decision trees with numerical attributes. Information Sciences. 165(1-2). 73–90. 43 indexed citations
18.
Berzal, Fernando, Marı́a J. Martı́n-Bautista, M.A. Vila, & Henrik Legind Larsen. (2002). Computing with words in information retrieval. 5. 3088–3092. 2 indexed citations
19.
Berzal, Fernando, et al.. (2002). On the quest for easy-to-understand splitting rules. Data & Knowledge Engineering. 44(1). 31–48. 24 indexed citations
20.
Berzal, Fernando, et al.. (2002). Relational decomposition through partial functional dependencies. Data & Knowledge Engineering. 43(2). 207–234. 9 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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