Andrea Malossini

14 total papers · 535 total citations
9 papers, 399 citations indexed

About

Andrea Malossini is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrea Malossini has authored 9 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Andrea Malossini's work include Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Andrea Malossini is often cited by papers focused on Gene expression and cancer classification (4 papers), Machine Learning in Bioinformatics (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Andrea Malossini collaborates with scholars based in Italy, United States and Canada. Andrea Malossini's co-authors include Enrico Blanzieri, Tommaso Calarco, Riccardo Velasco, Paolo Fontana, Alessandro Cestaro, Raymond T. Ng, Lorenzo Demattè, S. Pilati, Michele Perazzolli and Claudio Moser and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Evolutionary Computation and BMC Genomics.

In The Last Decade

Andrea Malossini

8 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
Andrea Malossini	187	167	116	103	32	9	399
Kang-Hyo Lee	88 0.5×	133 0.8×	34 0.3×	18 0.2×	32 1.0×	20	405
Haolin Wu	196 1.0×	239 1.4×	31 0.3×	10 0.1×	9 0.3×	16	396
Xiaojuan Zhang	58 0.3×	68 0.4×	33 0.3×	53 0.5×	13 0.4×	24	372
Cheng-Ju Kuo	33 0.2×	140 0.8×	116 1.0×	19 0.2×	31 1.0×	15	348
Yan Liu	182 1.0×	49 0.3×	58 0.5×	7 0.1×	40 1.3×	22	408
Vandana Bharti	151 0.8×	93 0.6×	150 1.3×	5 0.0×	14 0.4×	22	444
Michael Demel	24 0.1×	89 0.5×	109 0.9×	26 0.3×	9 0.3×	10	357
Lizhong Xiao	167 0.9×	18 0.1×	78 0.7×	34 0.3×	7 0.2×	25	344
Michael Tso	19 0.1×	52 0.3×	56 0.5×	31 0.3×	12 0.4×	11	361
Savita Kolhe	176 0.9×	17 0.1×	97 0.8×	11 0.1×	22 0.7×	20	367

Countries citing papers authored by Andrea Malossini

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Malossini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Malossini

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