G. Bortolan

2.6k citations
90 papers · 1.9k · 1 hit paper · h-index 17

Impact in

Papers in

G. Bortolan

84 papers receiving 1.7k citations

G. Bortolan's Hit Papers

A review of some methods for ranking fuzzy subsets 1985 · 714 citations
7140+13+27Years since publication200400600

Peers

G. Bortolan
Comparison fields: 5 of 117
  • Management Science and Operations Research 793
  • Statistics and Probability 415
  • Cardiology and Cardiovascular Medicine 658
  • Cognitive Neuroscience 343
  • Control and Systems Engineering 410
Replace R. Degani with:
R. Degani Belgium
Shie-Jue Lee Taiwan
H. Altay Güvenir Türkiye
Ali Morfeq Saudi Arabia
Philippe Fortemps Belgium
Mohammadsadegh Mobin United States
Macarena Espinilla Spain
Anna Maria Fanelli Italy
Antonio Coronato Italy
Jyun-Jie Lin Taiwan
G. Bortolan relative to R. Degani Belgium R. Degani's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside G. Bortolan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Bortolan Line = papers co-authored together G. Bortolan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of some methods for ranking fuzzy subsets
Hit paper breakdown →
1985714
2 1988205
3 200780
4 200576
5
Diagnostic ECG classification based on neural networks.
199354
6 200452
7 199642
8 200533
9 200232
10 201530
11 200227
12 199426
13 200219
14 199819
15 199018
16 201516
17 197916
18 199715
19 198315
20 200214

About G. Bortolan

G. Bortolan is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (60 papers), Cardiac electrophysiology and arrhythmias (35 papers), Neural Networks and Applications (19 papers), Fuzzy Logic and Control Systems (18 papers), EEG and Brain-Computer Interfaces (13 papers), Fault Detection and Control Systems (10 papers), Analog and Mixed-Signal Circuit Design (10 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Management Science and Operations Research (793 citations), Statistics and Probability (415 citations), Cardiology and Cardiovascular Medicine (658 citations), Cognitive Neuroscience (343 citations) and Control and Systems Engineering (410 citations). G. Bortolan has collaborated with scholars based in Italy, Bulgaria and Canada. Frequent co-authors include R. Degani, Ivaylo Christov, Irena Jekova, Witold Pedrycz, Iana Simova, Christian Brohet, Qiang Song, Marco Bressan, Rosaria Silipo and Jos L. Willems. Their work appears in journals such as Fuzzy Sets and Systems, Physiological Measurement, Artificial Intelligence in Medicine, International Journal of Approximate Reasoning and Kybernetes.

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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