Fabrizio Nunnari

109 total papers · 690 total citations
36 papers, 202 citations indexed

About

Fabrizio Nunnari is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Fabrizio Nunnari has authored 36 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 15 papers in Human-Computer Interaction and 10 papers in Artificial Intelligence. Recurrent topics in Fabrizio Nunnari's work include Hand Gesture Recognition Systems (8 papers), Human Motion and Animation (5 papers) and Speech and dialogue systems (5 papers). Fabrizio Nunnari is often cited by papers focused on Hand Gesture Recognition Systems (8 papers), Human Motion and Animation (5 papers) and Speech and dialogue systems (5 papers). Fabrizio Nunnari collaborates with scholars based in Germany, Italy and France. Fabrizio Nunnari's co-authors include Vincenzo Lombardo, Rossana Damiano, Alexis Héloir, Cristina Gena, Didier Stricker, Kiran Varanasi, Carla Simone, Tsvi Kuflik, Berardina De Carolis and Elisabeth André and has published in prestigious journals such as User Modeling and User-Adapted Interaction, Computers & Graphics and Multimedia Systems.

In The Last Decade

Fabrizio Nunnari

32 papers receiving 189 citations

Author Peers

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

Author						Papers	Cites
Fabrizio Nunnari	108	101	46	40	30	36	202
Sotiris Manitsaris	66 0.6×	114 1.1×	67 1.5×	49 1.2×	20 0.7×	29	277
Jesús Ibáñez	79 0.7×	56 0.6×	53 1.2×	57 1.4×	29 1.0×	37	257
Junichi Hoshino	86 0.8×	101 1.0×	34 0.7×	31 0.8×	36 1.2×	63	255
Katerina El Raheb	83 0.8×	159 1.6×	146 3.2×	28 0.7×	15 0.5×	28	287
Ilia Adami	54 0.5×	76 0.8×	23 0.5×	35 0.9×	18 0.6×	21	223
Tomas Trescak	59 0.5×	47 0.5×	24 0.5×	62 1.6×	11 0.4×	24	244
Ihsan Rabbi	115 1.1×	158 1.6×	25 0.5×	35 0.9×	22 0.7×	33	282
Andrea Ferracani	100 0.9×	118 1.2×	11 0.2×	44 1.1×	39 1.3×	38	259
Chris Raymaekers	156 1.4×	82 0.8×	33 0.7×	39 1.0×	86 2.9×	49	278
Christopher J. Headleand	119 1.1×	103 1.0×	13 0.3×	29 0.7×	50 1.7×	33	289

Countries citing papers authored by Fabrizio Nunnari

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Nunnari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Nunnari

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