L. D’Angiò

606 citations
11 papers · 418 · h-index 7

Impact in

Papers in

L. D’Angiò

11 papers receiving 397 citations

Peers

L. D’Angiò
Comparison fields: 5 of 101
  • Modeling and Simulation 32
  • Control and Systems Engineering 120
  • Computational Theory and Mathematics 51
  • Statistics, Probability and Uncertainty 16
  • Molecular Biology 146
Replace Leontina D’Angiò with:
Leontina D’Angiò Italy
G. Bellu Italy
Milena Anguelova Sweden
Christian Tönsing Germany
Fabian Fröhlich Germany
Lilianne Denis-Vidal France
Marcus Rosenblatt Germany
W. Clayton Thompson United States
Minaya Villasana Venezuela
Nicolette Meshkat United States
L. D’Angiò relative to Leontina D’Angiò Italy Leontina D’Angiò's profile →
Citations per field
00.5×1.5×
Leontina D’Angiò · 1×
Citations per year

Countries citing papers authored by L. D’Angiò

Since Specialization
Citations

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

Fields of papers citing papers by L. D’Angiò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. D’Angiò. 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 L. D’Angiò. The network helps show where L. D’Angiò may publish in the future.

Co-authors

The 5 scholars most cited alongside L. D’Angiò, 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 L. D’Angiò Line = papers co-authored together L. D’Angiò links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2001230
2 199893
3 198331
4 200328
5 20099
6 19948
7 19947
8 19855
9 19913
10 19863
11 19921

About L. D’Angiò

L. D’Angiò is a scholar working on Control and Systems Engineering, Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications and Geometry and Topology, having authored 11 papers that have together received 418 indexed citations. Recurring topics across this work include Control Systems and Identification (5 papers), Advanced Control Systems Optimization (4 papers), Gene Regulatory Network Analysis (3 papers), Polynomial and algebraic computation (2 papers), Matrix Theory and Algorithms (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Fault Detection and Control Systems (1 paper) and Mathematical Control Systems and Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (32 citations), Control and Systems Engineering (120 citations), Computational Theory and Mathematics (51 citations), Statistics, Probability and Uncertainty (16 citations) and Molecular Biology (146 citations). L. D’Angiò has collaborated with scholars based in Italy and France. Frequent co-authors include S. Audoly, Maria Pia Saccomani, Claudio Cobelli, G. Bellu and J. Delforge. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Mathematical Biosciences, IEEE Transactions on Automatic Control, Applicable Algebra in Engineering Communication and Computing and Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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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