Emanuele Pesce

12 total papers · 507 total citations
6 papers, 299 citations indexed

About

Emanuele Pesce is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Emanuele Pesce has authored 6 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Computer Networks and Communications. Recurrent topics in Emanuele Pesce's work include Reinforcement Learning in Robotics (2 papers), COVID-19 diagnosis using AI (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). Emanuele Pesce is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), COVID-19 diagnosis using AI (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). Emanuele Pesce collaborates with scholars based in United Kingdom, Italy and Finland. Emanuele Pesce's co-authors include Giovanni Montana, Vicky Goh, Samuel J. Withey, Angela Serra, Michele Fratello, Gioacchino Tedeschi, Fabrizio Esposito, Francesca Trojsi, Paola Galdi and Sabrina Senatore and has published in prestigious journals such as Radiology, Machine Learning and Medical Image Analysis.

In The Last Decade

Emanuele Pesce

6 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Emanuele Pesce	229	93	76	68	36	6	299
Erdi Çallı	265 1.2×	102 1.1×	104 1.4×	54 0.8×	34 0.9×	8	324
Nishanth Arun	206 0.9×	50 0.5×	124 1.6×	79 1.2×	28 0.8×	6	294
Anouk Stein	184 0.8×	47 0.5×	114 1.5×	46 0.7×	24 0.7×	9	257
Demin Yao	241 1.1×	93 1.0×	85 1.1×	23 0.3×	38 1.1×	15	361
Sreenivasa Raju Kalidindi	154 0.7×	64 0.7×	56 0.7×	58 0.9×	25 0.7×	4	231
Reabal Najjar	205 0.9×	46 0.5×	75 1.0×	151 2.2×	110 3.1×	6	361
Rongguo Zhang	191 0.8×	103 1.1×	68 0.9×	50 0.7×	82 2.3×	8	326
Umair Javaid	149 0.7×	50 0.5×	85 1.1×	49 0.7×	54 1.5×	11	281
Guillaume Chabin	240 1.0×	117 1.3×	65 0.9×	36 0.5×	34 0.9×	11	294
Beiyi Shen	168 0.7×	59 0.6×	60 0.8×	32 0.5×	9 0.3×	9	237

Countries citing papers authored by Emanuele Pesce

Since Specialization

Citations

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

Fields of papers citing papers by Emanuele Pesce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Pesce

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