Giovanni Motta

90 total papers · 1.2k total citations
41 papers, 747 citations indexed

About

Giovanni Motta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Giovanni Motta has authored 41 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Giovanni Motta's work include Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (8 papers) and Speech Recognition and Synthesis (5 papers). Giovanni Motta is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (8 papers) and Speech Recognition and Synthesis (5 papers). Giovanni Motta collaborates with scholars based in United States, Italy and Netherlands. Giovanni Motta's co-authors include David Salomon, James A. Storer, Francesco Rizzo, Françoise Beaufays, Rainer von Sachs, Christian Hafner, E Bocca, Antonio Ottaviani, C Calearo and Christian Baden and has published in prestigious journals such as The Astrophysical Journal, Cancer and Biometrics.

In The Last Decade

Giovanni Motta

37 papers receiving 691 citations

Author Peers

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

Author						Papers	Cites
Giovanni Motta	306	250	108	68	65	41	747
Liang Lan	152 0.5×	241 1.0×	35 0.3×	30 0.4×	22 0.3×	61	816
Qi Song	200 0.7×	235 0.9×	158 1.5×	32 0.5×	12 0.2×	55	793
R. Bharat Rao	218 0.7×	505 2.0×	41 0.4×	25 0.4×	33 0.5×	36	877
Xiaofeng Zou	142 0.5×	200 0.8×	57 0.5×	69 1.0×	28 0.4×	67	885
Devvi Sarwinda	225 0.7×	326 1.3×	23 0.2×	15 0.2×	39 0.6×	79	840
Mohammed M. Abdelsamea	233 0.8×	422 1.7×	15 0.1×	32 0.5×	66 1.0×	35	817
Zheng Xiao	159 0.5×	321 1.3×	23 0.2×	76 1.1×	20 0.3×	54	781
Belal Al‐Khateeb	115 0.4×	394 1.6×	62 0.6×	90 1.3×	30 0.5×	64	735
Daming Shi	350 1.1×	176 0.7×	73 0.7×	10 0.1×	44 0.7×	44	621
Daewon Lee	273 0.9×	359 1.4×	60 0.6×	40 0.6×	47 0.7×	34	737

Countries citing papers authored by Giovanni Motta

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Motta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Motta

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