G. Bortolan

2.6k total citations · 1 hit paper
91 papers, 1.9k citations indexed

About

G. Bortolan is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, G. Bortolan has authored 91 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cardiology and Cardiovascular Medicine, 27 papers in Artificial Intelligence and 16 papers in Biomedical Engineering. Recurrent topics in G. Bortolan's work include ECG Monitoring and Analysis (63 papers), Cardiac electrophysiology and arrhythmias (37 papers) and Neural Networks and Applications (19 papers). G. Bortolan is often cited by papers focused on ECG Monitoring and Analysis (63 papers), Cardiac electrophysiology and arrhythmias (37 papers) and Neural Networks and Applications (19 papers). G. Bortolan collaborates with scholars based in Italy, Bulgaria and Canada. G. Bortolan's co-authors include R. Degani, Ivaylo Christov, Irena Jekova, Witold Pedrycz, Iana Simova, Christian Brohet, Qiang Song, Carlo Marchesi, Jos L. Willems and Marco Bressan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

G. Bortolan

85 papers receiving 1.7k citations

Hit Papers

A review of some methods for ranking fuzzy subsets 1985 2026 1998 2012 1985 200 400 600
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 review of some methods for ranking fuzzy subsets
    1985 713 citations G. Bortolan, R. Degani profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Bortolan Italy 17 793 682 434 415 413 91 1.9k
R. Degani Belgium 15 766 1.0× 901 1.3× 351 0.8× 408 1.0× 364 0.9× 31 2.0k
Shie-Jue Lee Taiwan 21 333 0.4× 56 0.1× 1.0k 2.3× 93 0.2× 197 0.5× 120 1.8k
H. Altay Güvenir Türkiye 17 161 0.2× 114 0.2× 576 1.3× 40 0.1× 65 0.2× 48 1.1k
José M. Puerta Spain 19 148 0.2× 43 0.1× 819 1.9× 33 0.1× 81 0.2× 75 1.4k
Lei Cao China 22 77 0.1× 72 0.1× 587 1.4× 22 0.1× 27 0.1× 136 1.6k
Alexey Tsymbal Finland 19 176 0.2× 36 0.1× 1.4k 3.3× 24 0.1× 60 0.1× 58 1.9k
Novruz Allahverdi Türkiye 16 58 0.1× 66 0.1× 631 1.5× 15 0.0× 62 0.2× 47 1.2k
Jyun-Jie Lin Taiwan 9 182 0.2× 105 0.2× 249 0.6× 14 0.0× 32 0.1× 17 622
Rafael Alcalá Spain 25 384 0.5× 14 0.0× 2.3k 5.2× 247 0.6× 308 0.7× 71 2.9k
Ali Morfeq Saudi Arabia 14 435 0.5× 33 0.0× 462 1.1× 65 0.2× 90 0.2× 43 886

Countries citing papers authored by G. Bortolan

Since Specialization
Citations

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

Fields of papers citing papers by G. Bortolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Bortolan

This figure shows the co-authorship network connecting the top 25 collaborators of G. Bortolan. A scholar is included among the top collaborators of G. Bortolan 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 G. Bortolan. G. Bortolan 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.
Bortolan, G.. (2023). 3D ECG display with deep learning approach for identification of cardiac abnormalities from a variable number of leads. Physiological Measurement. 44(2). 24002–24002. 5 indexed citations
2.
Bortolan, G., Ivaylo Christov, & Iana Simova. (2022). Modifications in Electrocardiographic and Vectordardiographic Morphological Parameters in Elderly Males as Result of Cardiovascular Diseases and Diabetes Mellitus. Diagnostics. 12(12). 2911–2911. 1 indexed citations
3.
Jekova, Irena, G. Bortolan, Todor Stoyanov, & Ivan Dotsinsky. (2020). Multi-type Arrhythmia Classification: Assessment of the Potential of Time and Frequency Domain Features and Different Classifiers. SHILAP Revista de lepidopterología. 24(2). 153–172. 2 indexed citations
4.
Simova, Iana, Ivaylo Christov, & G. Bortolan. (2015). A Review on Electrocardiographic Changes in Diabetic Patients. Current Diabetes Reviews. 11(2). 102–106. 10 indexed citations
5.
Bortolan, G. & Ivaylo Christov. (2012). T-wave alternans detection by a combined method of principal component analysis and T-wave amplitude. Physiological Measurement. 33(3). 333–343. 6 indexed citations
6.
Bortolan, G., Marco Bressan, & Ivaylo Christov. (2009). Review on the Diagnostic Potentials of the T-loop Morphology in VCG. SHILAP Revista de lepidopterología. 4 indexed citations
7.
Bortolan, G., et al.. (2009). Automatic assessment of right ventricular repolarisation dispersion during diagnostic ajmaline test for suspected Brugada syndrome. 297–300. 2 indexed citations
8.
Christov, Ivaylo, Irena Jekova, & G. Bortolan. (2005). Premature ventricular contraction classification by theKth nearest-neighbours rule. Physiological Measurement. 26(1). 123–130. 76 indexed citations
9.
Christov, Ivaylo & G. Bortolan. (2004). Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks. Physiological Measurement. 25(5). 1281–1290. 52 indexed citations
10.
Bortolan, G., et al.. (2004). QT dispersion in the elderly. The ILSA Study. Aging Clinical and Experimental Research. 16(5). 342–348. 13 indexed citations
11.
Bortolan, G., et al.. (2003). Serial analysis in the ECG-ILSA database: study of longitudinal modifications. 29. 667–670. 4 indexed citations
12.
Bortolan, G. & Witold Pedrycz. (2002). An interactive framework for an analysis of ECG signals. Artificial Intelligence in Medicine. 24(2). 109–132. 13 indexed citations
13.
Bortolan, G., et al.. (2002). Different combination techniques in the computation of the QT dispersion index. 29. 669–672. 1 indexed citations
14.
Bortolan, G., R. Degani, & Jos L. Willems. (2002). Neural networks for ECG classification. 1. 269–272. 14 indexed citations
15.
Bortolan, G., et al.. (2002). Supervised and unsupervised learning for diagnostic ECG classification. 3. 931–932. 8 indexed citations
16.
Bortolan, G., et al.. (2002). A hybrid neuro-fuzzy system for ECG classification of myocardial infarction. 241–244. 14 indexed citations
17.
Bortolan, G.. (2001). Automatic detection of atrial fibrillation and flutter by wave rectification method. Journal of Medical Engineering & Technology. 25(5). 217–221. 11 indexed citations
18.
Bortolan, G.. (1998). An inference system based on fuzzy logic. Journal of Medical Engineering & Technology. 22(3). 112–120.
19.
Bortolan, G. & R. Degani. (1993). A REVIEW OF SOME METHODS FOR RANKING FUZZY SUBSETS. Elsevier eBooks. 149–158. 8 indexed citations
20.
Degani, R. & G. Bortolan. (1988). The problem of linguistic approximation in clinical decision making. International Journal of Approximate Reasoning. 2(2). 143–162. 205 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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