Andrea Patanè

614 citations
28 papers · 316 · h-index 9

Impact in

Papers in

Andrea Patanè

27 papers receiving 308 citations

Peers

Andrea Patanè
Comparison fields: 5 of 83
  • Applied Psychology 82
  • Experimental and Cognitive Psychology 112
  • Cognitive Neuroscience 36
  • Clinical Psychology 31
  • Human-Computer Interaction 8
Replace Frank J. Blaauw with:
Frank J. Blaauw Netherlands
Louis Faust United States
Ross Harper United Kingdom
Alban Maxhuni Italy
Magali Cariou France
Aleksandar Matić United States
Tiantian Feng United States
Eleni Kazantzaki Greece
Kennedy Opoku Asare Finland
Fabian Wahle Switzerland
Andrea Patanè relative to Frank J. Blaauw Netherlands Frank J. Blaauw's profile →
Citations per field
00.5×1.5×2.5×
Frank J. Blaauw · 1×
Citations per year

Countries citing papers authored by Andrea Patanè

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Patanè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrea Patanè, 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 Andrea Patanè Line = papers co-authored together Andrea Patanè links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019128
2 202325
3 201823
4 201817
5 201516
6 201815
7 199612
8 20229
9 20189
10 20168
11 20216
12 20246
13 20186
14 20226
15 20185
16 20155
17 20203
18
Robustness Quantification for Classification with Gaussian Processes.
20192
19 20192
20 20212

About Andrea Patanè

Andrea Patanè is a scholar working on Artificial Intelligence, Control and Systems Engineering, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Fault Detection and Control Systems (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Mental Health Research Topics (3 papers), Biofuel production and bioconversion (3 papers), Robotics and Sensor-Based Localization (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Applied Psychology (82 citations), Experimental and Cognitive Psychology (112 citations), Cognitive Neuroscience (36 citations), Clinical Psychology (31 citations) and Human-Computer Interaction (8 citations). Andrea Patanè has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Marta Kwiatkowska, Azucena García‐Palacios, Desirée Colombo, Cristina Botella, Pietro Cipresso, Giuseppe Riva, Michelle Semonella, Javier Fernández‐Álvarez, Luca Laurenti and Giuseppe Nicosia. Their work appears in journals such as Biotechnology and Bioengineering, Journal of Clinical Medicine, IEEE Transactions on Human-Machine Systems, Engineering Applications of Artificial Intelligence and European Respiratory Journal.

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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