Cosimo Ieracitano

2.8k citations
42 papers · 1.7k · h-index 19

Impact in

    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
  • Neurology top 5%
    • Brain Tumor Detection and Classification

Papers in

Cosimo Ieracitano

38 papers receiving 1.6k citations

Peers

Cosimo Ieracitano
Comparison fields: 5 of 126
  • Cognitive Neuroscience 873
  • Neurology 185
  • Health Informatics 27
  • Signal Processing 212
  • Human-Computer Interaction 95
Replace Enas Abdulhay with:
Enas Abdulhay Jordan
Jasmin Kevrić Bosnia and Herzegovina
Nadia Mammone Italy
Marjane Khodatars Iran
Mahboobeh Jafari Iran
Syed Umar Amin Saudi Arabia
Parisa Moridian Iran
Muhammad Tariq Sadiq China
Navid Ghassemi Iran
Maheshkumar H. Kolekar India
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Citations per year

Countries citing papers authored by Cosimo Ieracitano

Since Specialization
Citations

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

Fields of papers citing papers by Cosimo Ieracitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019235
2 2018212
3 2019188
4 2016115
5 2020115
6 2022102
7 201880
8 202175
9 202168
10 201865
11 202346
12 202142
13 202037
14 202134
15 202133
16 201829
17 202128
18 201922
19 202219
20 201717

About Cosimo Ieracitano

Cosimo Ieracitano is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Functional Brain Connectivity Studies (11 papers), Neural dynamics and brain function (10 papers), Gaze Tracking and Assistive Technology (5 papers), Neuroscience and Neural Engineering (5 papers), Advanced Neural Network Applications (3 papers), Blind Source Separation Techniques (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (873 citations), Neurology (185 citations), Health Informatics (27 citations), Signal Processing (212 citations) and Human-Computer Interaction (95 citations). Cosimo Ieracitano has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Francesco Carlo Morabito, Nadia Mammone, Amir Hussain, Alessia Bramanti, Ahsan Adeel, Maurizio Campolo, Simona De Salvo, Hojjat Adeli, Lilla Bonanno and Silvia Marino. Their work appears in journals such as International Journal of Neural Systems, Neurocomputing, Neural Networks, Sensors and IEEE Journal of Biomedical and Health Informatics.

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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