Alberto Casagrande

63 total papers · 4.3k total citations
29 papers, 341 citations indexed

About

Alberto Casagrande is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alberto Casagrande has authored 29 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 10 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Alberto Casagrande's work include Formal Methods in Verification (11 papers), Logic, programming, and type systems (5 papers) and Gene Regulatory Network Analysis (4 papers). Alberto Casagrande is often cited by papers focused on Formal Methods in Verification (11 papers), Logic, programming, and type systems (5 papers) and Gene Regulatory Network Analysis (4 papers). Alberto Casagrande collaborates with scholars based in Italy, United States and Spain. Alberto Casagrande's co-authors include Carla Piazza, Alberto Policriti, Rossano Girometti, Luciana Baldoni, Claudia Ricciolini, S. Arcioni, Anna Buonamici, Innocenzo Muzzalupo, Amelia Salimonti and Isabel Jiménez‐Trujillo and has published in prestigious journals such as Molecular Breeding, Medical & Biological Engineering & Computing and Statistics and Computing.

In The Last Decade

Alberto Casagrande

25 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Alberto Casagrande	104	100	89	75	64	29	341
Mohit Arora	84 0.8×	39 0.4×	39 0.4×	44 0.6×	14 0.2×	23	386
Ramandeep Kaur	105 1.0×	23 0.2×	17 0.2×	90 1.2×	11 0.2×	28	358
M. Manohar	47 0.5×	50 0.5×	31 0.3×	39 0.5×	6 0.1×	45	323
Rajat Ghosh	60 0.6×	25 0.3×	15 0.2×	78 1.0×	15 0.2×	40	391
Jeffrey A. Kramer	4 0.0×	19 0.2×	46 0.5×	75 1.0×	63 1.0×	30	402
Ruilin Li	19 0.2×	30 0.3×	7 0.1×	30 0.4×	16 0.3×	51	302
Na Bao	62 0.6×	25 0.3×	6 0.1×	73 1.0×	6 0.1×	28	392
Liangliang Yao	9 0.1×	104 1.0×	11 0.1×	105 1.4×	12 0.2×	28	397
Arjun Pakrashi	12 0.1×	134 1.3×	19 0.2×	62 0.8×	4 0.1×	46	389
Jinlei Liu	6 0.1×	32 0.3×	21 0.2×	124 1.7×	25 0.4×	40	310

Countries citing papers authored by Alberto Casagrande

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Casagrande

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Casagrande

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