Sabrina Iarlori

57 total papers · 1.1k total citations
36 papers, 673 citations indexed

About

Sabrina Iarlori is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sabrina Iarlori has authored 36 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Control and Systems Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sabrina Iarlori's work include EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (7 papers) and Neuroscience and Neural Engineering (5 papers). Sabrina Iarlori is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (7 papers) and Neuroscience and Neural Engineering (5 papers). Sabrina Iarlori collaborates with scholars based in Italy, United Kingdom and Belgium. Sabrina Iarlori's co-authors include Francesco Ferracuti, Sauro Longhi, Andrea Monteriù, Andrea Giantomassi, Gianluca Ippoliti, Luca Romeo, Federica Verdini, Maria Gabriella Ceravolo, Marianna Capecci and Camillo Porcaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Journal of Biomechanics.

In The Last Decade

Sabrina Iarlori

32 papers receiving 662 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sabrina Iarlori	188	151	145	123	90	36	673
XU Bao-guo	174 0.9×	215 1.4×	66 0.5×	59 0.5×	173 1.9×	85	758
S. Parasuraman	118 0.6×	162 1.1×	211 1.5×	78 0.6×	62 0.7×	82	786
Guanghua Xu	123 0.7×	191 1.3×	51 0.4×	46 0.4×	66 0.7×	51	585
Éric Monacelli	129 0.7×	174 1.2×	139 1.0×	22 0.2×	85 0.9×	62	577
Kui Xiang	98 0.5×	66 0.4×	106 0.7×	76 0.6×	103 1.1×	78	697
Chifu Yang	113 0.6×	90 0.6×	85 0.6×	78 0.6×	33 0.4×	46	611
Salih Ertug Ovur	250 1.3×	84 0.6×	148 1.0×	44 0.4×	39 0.4×	21	676
Mohammad Jafari	201 1.1×	111 0.7×	80 0.6×	22 0.2×	97 1.1×	39	597
Mochammad Ariyanto	100 0.5×	120 0.8×	51 0.4×	61 0.5×	45 0.5×	88	577
Suna Zhao	121 0.6×	173 1.1×	88 0.6×	16 0.1×	62 0.7×	35	620

Countries citing papers authored by Sabrina Iarlori

Since Specialization

Citations

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

Fields of papers citing papers by Sabrina Iarlori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Iarlori

This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Iarlori. A scholar is included among the top collaborators of Sabrina Iarlori 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 Sabrina Iarlori. Sabrina Iarlori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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