Giovanni Seni

24 total papers · 987 total citations
16 papers, 680 citations indexed

About

Giovanni Seni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Giovanni Seni has authored 16 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Giovanni Seni's work include Handwritten Text Recognition Techniques (9 papers), Natural Language Processing Techniques (5 papers) and Vehicle License Plate Recognition (3 papers). Giovanni Seni is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Natural Language Processing Techniques (5 papers) and Vehicle License Plate Recognition (3 papers). Giovanni Seni collaborates with scholars based in United States, France and Japan. Giovanni Seni's co-authors include John F. Elder, Edward A. K. Cohen, Rohini K. Srihari, Nasser M. Nasrabadi, Tasos Anastasakos, John S. Seybold, John P. Elder, J. Andrieux and Eddy Mayoraz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Giovanni Seni

16 papers receiving 636 citations

Hit Papers

Ensemble Methods in Data ... 2010 2026 2015 2020 2010 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Giovanni Seni 258 211 68 58 51 16 680
Zyad Shaaban 191 0.7× 135 0.6× 28 0.4× 91 1.6× 37 0.7× 11 680
Yuxian Meng 483 1.9× 154 0.7× 42 0.6× 52 0.9× 32 0.6× 17 752
Zhangyang Gao 273 1.1× 200 0.9× 30 0.4× 56 1.0× 40 0.8× 32 721
Man Ieee Systems 182 0.7× 96 0.5× 26 0.4× 53 0.9× 30 0.6× 23 756
Xin Xu 185 0.7× 144 0.7× 24 0.4× 28 0.5× 41 0.8× 16 659
Tiago Carneiro 198 0.8× 122 0.6× 49 0.7× 77 1.3× 27 0.5× 17 714
Nandakishore Kambhatla 313 1.2× 223 1.1× 43 0.6× 62 1.1× 19 0.4× 12 701
Rpw Duin 330 1.3× 193 0.9× 59 0.9× 58 1.0× 39 0.8× 24 656
George Obaido 308 1.2× 60 0.3× 58 0.9× 67 1.2× 39 0.8× 31 750
Simon Günter 387 1.5× 310 1.5× 50 0.7× 41 0.7× 36 0.7× 18 712

Countries citing papers authored by Giovanni Seni

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Seni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Seni

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