Oscar Ferrante

740 total citations
9 papers, 252 citations indexed

About

Oscar Ferrante is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Oscar Ferrante has authored 9 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Social Psychology. Recurrent topics in Oscar Ferrante's work include Neural and Behavioral Psychology Studies (7 papers), Visual perception and processing mechanisms (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Oscar Ferrante is often cited by papers focused on Neural and Behavioral Psychology Studies (7 papers), Visual perception and processing mechanisms (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Oscar Ferrante collaborates with scholars based in Italy, United Kingdom and United States. Oscar Ferrante's co-authors include Elisa Santandrea, Leonardo Chelazzi, Chiara Della Libera, Ole Jensen, Clayton Hickey, Alexander Zhigalov, Luigi Cattaneo, Carlotta Lega, Francesco Marini and Huan Luo and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Cognitive Neuroscience.

In The Last Decade

Oscar Ferrante

8 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oscar Ferrante Italy	6	238	41	20	16	15	9	252
Christian Wolf Germany	8	223 0.9×	64 1.6×	30 1.5×	26 1.6×	8 0.5×	24	258
David Richter Netherlands	8	187 0.8×	45 1.1×	23 1.1×	6 0.4×	21 1.4×	15	214
Long Sha United States	5	200 0.8×	45 1.1×	39 1.9×	14 0.9×	23 1.5×	6	219
Tobias Feldmann‐Wüstefeld Germany	8	334 1.4×	88 2.1×	31 1.6×	25 1.6×	8 0.5×	10	360
Supriya Ray India	6	252 1.1×	13 0.3×	15 0.8×	18 1.1×	8 0.5×	12	263
Thomas Meindertsma Netherlands	7	226 0.9×	30 0.7×	26 1.3×	20 1.3×	12 0.8×	7	255
Dawn Finzi United States	8	192 0.8×	37 0.9×	16 0.8×	7 0.4×	17 1.1×	10	202
Lina Teichmann Australia	8	229 1.0×	61 1.5×	45 2.3×	13 0.8×	10 0.7×	19	283
Einat Rashal Israel	7	256 1.1×	53 1.3×	19 0.9×	9 0.6×	26 1.7×	15	271
Iris Wiegand Germany	14	348 1.5×	43 1.0×	33 1.6×	13 0.8×	21 1.4×	41	432

Countries citing papers authored by Oscar Ferrante

Since Specialization

Citations

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

Fields of papers citing papers by Oscar Ferrante

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Ferrante

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

All Works

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9 of 9 papers shown

1.

Ferrante, Oscar, Leonardo Chelazzi, & Elisa Santandrea. (2023). Statistical learning of target and distractor spatial probability shape a common attentional priority computation. Cortex. 169. 95–117. 2 indexed citations

2.

Ferrante, Oscar, Alexander Zhigalov, Clayton Hickey, & Ole Jensen. (2023). Statistical Learning of Distractor Suppression Downregulates Prestimulus Neural Excitability in Early Visual Cortex. Journal of Neuroscience. 43(12). 2190–2198. 27 indexed citations

3.

Ferrante, Oscar, Ling Liu, Tamas Minarik, et al.. (2022). FLUX: A pipeline for MEG analysis. NeuroImage. 253. 119047–119047. 22 indexed citations

4.

Dijkerman, H. Chris, et al.. (2021). Body–Space Interactions: Same Spatial Encoding but Different Influence of Valence for Reaching and Defensive Purposes. Journal of Cognitive Neuroscience. 33(10). 1–18. 5 indexed citations

5.

Lega, Carlotta, et al.. (2020). Modulating the influence of recent trial history on attentional capture via transcranial magnetic stimulation (TMS) of right TPJ. Cortex. 133. 149–160. 6 indexed citations

6.

Lega, Carlotta, Oscar Ferrante, Francesco Marini, et al.. (2019). Probing the Neural Mechanisms for Distractor Filtering and Their History-Contingent Modulation by Means of TMS. Journal of Neuroscience. 39(38). 7591–7603. 25 indexed citations

7.

Ferrante, Oscar, Elisa Santandrea, & Leonardo Chelazzi. (2018). Compound statistical learning of target selection and distractor suppression. Journal of Vision. 18(10). 284–284.

8.

Ferrante, Oscar, et al.. (2017). Altering spatial priority maps via statistical learning of target selection and distractor filtering. Cortex. 102. 67–95. 163 indexed citations

9.

Ferrante, Oscar, et al.. (2017). Statistical learning of distractor suppression. Journal of Vision. 17(10). 674–674. 2 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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