Eros Pasero

2.0k total citations
117 papers, 1.2k citations indexed

About

Eros Pasero is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Eros Pasero has authored 117 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Electrical and Electronic Engineering and 18 papers in Environmental Engineering. Recurrent topics in Eros Pasero's work include Neural Networks and Applications (19 papers), Smart Materials for Construction (14 papers) and ECG Monitoring and Analysis (13 papers). Eros Pasero is often cited by papers focused on Neural Networks and Applications (19 papers), Smart Materials for Construction (14 papers) and ECG Monitoring and Analysis (13 papers). Eros Pasero collaborates with scholars based in Italy, France and Fiji. Eros Pasero's co-authors include Vincenzo Randazzo, Francesco Carlo Morabito, Amedeo Troiano, Luca Mesin, Anna Esposito, Sanam Narejo, Marcos Faúndez-Zanuy, Giansalvo Cirrincione, Farzana Kulsoom and Simone Bassis and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Eros Pasero

106 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eros Pasero Italy 18 236 211 181 175 139 117 1.2k
Li Qiao China 16 243 1.0× 143 0.7× 146 0.8× 308 1.8× 69 0.5× 72 1.0k
George Georgoulas Greece 27 381 1.6× 311 1.5× 220 1.2× 216 1.2× 99 0.7× 108 2.2k
J. Solà Switzerland 12 205 0.9× 149 0.7× 167 0.9× 100 0.6× 79 0.6× 27 915
Neil R. Euliano United States 13 212 0.9× 292 1.4× 162 0.9× 106 0.6× 66 0.5× 40 1.3k
Ömer Faruk Ertuğrul Türkiye 17 164 0.7× 383 1.8× 240 1.3× 61 0.3× 247 1.8× 68 1.2k
Samiappan Dhanalakshmi India 24 268 1.1× 217 1.0× 473 2.6× 206 1.2× 238 1.7× 171 1.9k
Noriyasu Homma Japan 14 232 1.0× 567 2.7× 188 1.0× 113 0.6× 135 1.0× 115 1.5k
Padmavathi Kora India 17 155 0.7× 361 1.7× 147 0.8× 311 1.8× 306 2.2× 68 1.4k
Grazia Lo Sciuto Italy 18 121 0.5× 178 0.8× 236 1.3× 42 0.2× 106 0.8× 83 1.1k
Fernando Morgado‐Dias Portugal 24 464 2.0× 442 2.1× 531 2.9× 123 0.7× 215 1.5× 143 2.3k

Countries citing papers authored by Eros Pasero

Since Specialization
Citations

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

Fields of papers citing papers by Eros Pasero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eros Pasero

This figure shows the co-authorship network connecting the top 25 collaborators of Eros Pasero. A scholar is included among the top collaborators of Eros Pasero 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 Eros Pasero. Eros Pasero 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
2.
Pasero, Eros, et al.. (2023). Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events. Sensors. 23(21). 8900–8900. 9 indexed citations
3.
Randazzo, Vincenzo, et al.. (2023). Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network. SHILAP Revista de lepidopterología. 78–78. 5 indexed citations
4.
Cirrincione, Giansalvo, et al.. (2023). Transformer-Based Approach to Melanoma Detection. Sensors. 23(12). 5677–5677. 23 indexed citations
5.
Ancona, Andrea, Giovanni Tripepi, Vincenzo Randazzo, et al.. (2022). External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients. Journal of Nephrology. 35(8). 2047–2056. 12 indexed citations
6.
Ancona, Andrea, Giovanni Tripepi, Vincenzo Randazzo, et al.. (2021). A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients. Journal of Nephrology. 34(6). 1875–1886. 27 indexed citations
7.
Cirrincione, Giansalvo, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, & Eros Pasero. (2019). The GH-EXIN neural network for hierarchical clustering. Neural Networks. 121. 57–73. 15 indexed citations
8.
Aliev, Khurshid, et al.. (2016). Smartphone and Bluetooth Smart Sensor Usage in IoT Applications. SHILAP Revista de lepidopterología. 4 indexed citations
9.
Aliev, Khurshid, et al.. (2016). The Use of Bluetooth Low Energy Smart Sensor for Mobile Devices Yields an Efficient Level of Power Consumption. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations
10.
Bassis, Simone, Anna Esposito, Francesco Carlo Morabito, & Eros Pasero. (2016). Advances in neural networks computational intelligence for ICT. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations
11.
Pasero, Eros, Francesco Carlo Morabito, Anna Esposito, & Simone Bassis. (2016). Advances in Neural Networks. Smart innovation, systems and technologies. 61 indexed citations
12.
Narejo, Sanam & Eros Pasero. (2016). A Hybrid Approach for Time Series Forecasting Using Deep Learning and Nonlinear Autoregressive Neural Networks. PORTO Publications Open Repository TOrino (Politecnico di Torino). 69–75. 3 indexed citations
13.
Pasero, Eros, et al.. (2016). Implantable Medical Devices; Networking Security Survey.. Journal of Internet Services and Information Security. 6(3). 40–60. 5 indexed citations
14.
Pasero, Eros, et al.. (2014). Conserving Energy Through Neural Prediction of Sensed Data. PORTO Publications Open Repository TOrino (Politecnico di Torino). 9 indexed citations
15.
Troiano, Amedeo & Eros Pasero. (2014). A Runway Surface Monitor using Internet of Things. Journal of Electrical Engineering. 65(3). 169–173. 2 indexed citations
16.
Troiano, Amedeo, Eros Pasero, & Luca Mesin. (2012). Experimental Validation of a Sensor Monitoring Ice Formation over a Road Surface. SHILAP Revista de lepidopterología. 7 indexed citations
17.
Troiano, Amedeo, Eros Pasero, & Luca Mesin. (2011). In the Field Application of a New Sensor for Monitoring Road and Runway Surfaces. SHILAP Revista de lepidopterología. 6 indexed citations
18.
Troiano, Amedeo, Eros Pasero, & Luca Mesin. (2010). An innovative water and ice detection system for monitoring road and runway surfaces. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–4. 9 indexed citations
19.
Palma, F., et al.. (2000). On the Improvement of a Neural Controller Through Soft Modelling. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
20.
Filippi, E., et al.. (1994). Combining multi-layer perceptrons in classification problems.. The European Symposium on Artificial Neural Networks. 4 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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