Silvia Bisconti

11 total papers · 792 total citations
10 papers, 597 citations indexed

About

Silvia Bisconti is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Silvia Bisconti has authored 10 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Silvia Bisconti's work include Optical Imaging and Spectroscopy Techniques (10 papers), Non-Invasive Vital Sign Monitoring (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Silvia Bisconti is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (10 papers), Non-Invasive Vital Sign Monitoring (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Silvia Bisconti collaborates with scholars based in Italy, United States and France. Silvia Bisconti's co-authors include Marco Ferrari, Valentina Quaresima, Sara Basso Moro, Simone Cutini, Beverly D. Ulrich, Matteo Spezialetti, Giuseppe Placidi, Ioulia Kovelman, Paul R. Kileny and Gregory J. Basura and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Speech Language and Hearing Research.

In The Last Decade

Silvia Bisconti

10 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Silvia Bisconti	344	283	209	98	50	10	597
Guilherme Augusto Zimeo Morais	253 0.7×	273 1.0×	145 0.7×	92 0.9×	25 0.5×	12	525
M.M. Richter	396 1.2×	370 1.3×	224 1.1×	165 1.7×	20 0.4×	10	676
Sonja Spichtig	377 1.1×	235 0.8×	295 1.4×	151 1.5×	16 0.3×	7	634
Behnam Molavi	363 1.1×	262 0.9×	304 1.5×	171 1.7×	14 0.3×	16	663
Sabrina Schneider	221 0.6×	288 1.0×	90 0.4×	153 1.6×	15 0.3×	20	512
Teiji Kawano	206 0.6×	368 1.3×	188 0.9×	105 1.1×	16 0.3×	10	589
Jay Dubb	420 1.2×	185 0.7×	343 1.6×	83 0.8×	11 0.2×	13	612
Takemune Fukuie	80 0.2×	193 0.7×	34 0.2×	181 1.8×	56 1.1×	24	558
Ladina Bezzola	236 0.7×	422 1.5×	25 0.1×	20 0.2×	82 1.6×	11	653
Kévin Mandrick	175 0.5×	217 0.8×	165 0.8×	154 1.6×	5 0.1×	10	499

Countries citing papers authored by Silvia Bisconti

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Bisconti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Bisconti

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bisconti. A scholar is included among the top collaborators of Silvia Bisconti 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 Silvia Bisconti. Silvia Bisconti 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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