Daniela Besozzi

2.5k citations
85 papers · 1.3k · h-index 19

Impact in

Papers in

    • Gene Regulatory Network Analysis 34
    • DNA and Biological Computing 23
    • Microbial Metabolic Engineering and Bioproduction 18
    • Advanced biosensing and bioanalysis techniques 10
    • Protein Structure and Dynamics 9
    • Evolutionary Algorithms and Applications 11

Daniela Besozzi

79 papers receiving 1.3k citations

Peers

Daniela Besozzi
Comparison fields: 5 of 173
  • Computational Theory and Mathematics 229
  • Artificial Intelligence 381
  • Molecular Biology 603
  • Computer Vision and Pattern Recognition 114
  • Biophysics 31
Replace Marco S. Nobile with:
Marco S. Nobile Italy
Paolo Cazzaniga Italy
Henry Han United States
Jianping Hua United States
E.R. Dougherty United States
Guangyong Chen China
Safaai Deris Malaysia
Wenbin Liu China
Saurav Mallik India
Byung-Jun Yoon United States
Daniela Besozzi relative to Marco S. Nobile Italy Marco S. Nobile's profile →
Citations per field
00.5×1.5×
Marco S. Nobile · 1×
Citations per year

Countries citing papers authored by Daniela Besozzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Besozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Besozzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Besozzi Line = papers co-authored together Daniela Besozzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017194
2 2014180
3 201686
4 201883
5 201944
6 200642
7 201942
8 202039
9 201537
10 201236
11 200730
12 200729
13 201429
14 201429
15 201827
16 201923
17 201421
18 201120
19 201520
20 201218

About Daniela Besozzi

Daniela Besozzi is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (34 papers), DNA and Biological Computing (23 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Evolutionary Algorithms and Applications (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Protein Structure and Dynamics (9 papers), Cellular Automata and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (229 citations), Artificial Intelligence (381 citations), Molecular Biology (603 citations), Computer Vision and Pattern Recognition (114 citations) and Biophysics (31 citations). Daniela Besozzi has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Paolo Cazzaniga, Marco S. Nobile, Giancarlo Mauri, Andrea Tangherloni, Dario Pescini, Riccardo Colombo, Gabriella Pasi, Simone Spolaor, Leonardo Rundo and Carmelo Militello. Their work appears in journals such as Bioinformatics, Theoretical Computer Science, BMC Bioinformatics, Biotechnology Advances and International Journal of Foundations of Computer Science.

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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