Alberto Paccanaro

98 total papers · 10.2k total citations
45 papers, 2.5k citations indexed

About

Alberto Paccanaro is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Alberto Paccanaro has authored 45 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 8 papers in Artificial Intelligence. Recurrent topics in Alberto Paccanaro's work include Bioinformatics and Genomic Networks (24 papers), Machine Learning in Bioinformatics (11 papers) and Gene expression and cancer classification (10 papers). Alberto Paccanaro is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), Machine Learning in Bioinformatics (11 papers) and Gene expression and cancer classification (10 papers). Alberto Paccanaro collaborates with scholars based in United Kingdom, United States and Brazil. Alberto Paccanaro's co-authors include Haiyuan Yu, Tamás Nepusz, Mark Gerstein, Alfonso E. Romero, Diego Galeano, Geoffrey E. Hinton, M Snyder, Valery Trifonov, Yu Xia and Long Lu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Alberto Paccanaro

42 papers receiving 2.5k citations

Hit Papers

Detecting overlapping pro... 2012 2026 2016 2021 2012 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Alberto Paccanaro 1.9k 519 234 231 193 45 2.5k
André Leier 3.2k 1.7× 402 0.8× 154 0.7× 129 0.6× 277 1.4× 65 3.6k
Gunnar W. Klau 1.5k 0.8× 347 0.7× 273 1.2× 208 0.9× 311 1.6× 81 2.5k
Dov Greenbaum 2.7k 1.4× 373 0.7× 169 0.7× 181 0.8× 338 1.8× 72 3.9k
T. M. Murali 1.9k 1.0× 308 0.6× 398 1.7× 130 0.6× 120 0.6× 74 2.7k
Diogo M. Camacho 2.4k 1.3× 177 0.3× 168 0.7× 184 0.8× 347 1.8× 23 3.6k
Md. Altaf‐Ul‐Amin 1.5k 0.8× 375 0.7× 81 0.3× 306 1.3× 179 0.9× 77 2.1k
Jianzhu Ma 2.2k 1.2× 479 0.9× 305 1.3× 71 0.3× 160 0.8× 69 3.0k
Jun Sese 1.9k 1.0× 510 1.0× 518 2.2× 431 1.9× 329 1.7× 82 3.5k
Jian Peng 2.2k 1.1× 286 0.6× 580 2.5× 194 0.8× 207 1.1× 67 3.9k
Falk Schreiber 2.1k 1.1× 259 0.5× 173 0.7× 544 2.4× 170 0.9× 151 3.6k

Countries citing papers authored by Alberto Paccanaro

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Paccanaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Paccanaro

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