Marco Baiesi

2.7k total citations
78 papers, 1.9k citations indexed

About

Marco Baiesi is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Marco Baiesi has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistical and Nonlinear Physics, 26 papers in Atomic and Molecular Physics, and Optics and 21 papers in Materials Chemistry. Recurrent topics in Marco Baiesi's work include Advanced Thermodynamics and Statistical Mechanics (23 papers), Protein Structure and Dynamics (13 papers) and Theoretical and Computational Physics (11 papers). Marco Baiesi is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (23 papers), Protein Structure and Dynamics (13 papers) and Theoretical and Computational Physics (11 papers). Marco Baiesi collaborates with scholars based in Italy, Belgium and Germany. Marco Baiesi's co-authors include Maya Paczuski, Christian Maes, Bram Wynants, Enzo Orlandini, Attilio L. Stella, Christa Maes, Jörn Davidsen, Enrico Carlon, Stefan Boettcher and Gianmaria Falasco and has published in prestigious journals such as Science, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Marco Baiesi

77 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Baiesi Italy 22 825 427 384 307 242 78 1.9k
Zeev Olami Israel 19 466 0.6× 478 1.1× 144 0.4× 895 2.9× 152 0.6× 44 2.1k
Eugenio Lippiello Italy 25 541 0.7× 889 2.1× 295 0.8× 622 2.0× 410 1.7× 92 1.9k
Yu. L. Klimontovich Russia 22 872 1.1× 117 0.3× 538 1.4× 136 0.4× 109 0.5× 89 1.7k
Gianfranco Durin Italy 22 190 0.2× 262 0.6× 999 2.6× 1.1k 3.6× 71 0.3× 91 2.2k
Ferruccio Renzoni United Kingdom 26 1.0k 1.3× 125 0.3× 1.6k 4.2× 83 0.3× 283 1.2× 92 2.4k
Alessandro Campa Italy 25 1.2k 1.4× 45 0.1× 650 1.7× 355 1.2× 72 0.3× 86 2.3k
C. Vanneste France 21 211 0.3× 502 1.2× 816 2.1× 300 1.0× 299 1.2× 63 1.9k
Karina Weron Poland 22 521 0.6× 58 0.1× 175 0.5× 135 0.4× 50 0.2× 81 1.6k
André M. C. Souza Brazil 19 786 1.0× 84 0.2× 439 1.1× 243 0.8× 196 0.8× 97 1.6k
G.J. Daniell United Kingdom 15 193 0.2× 125 0.3× 435 1.1× 229 0.7× 118 0.5× 54 1.5k

Countries citing papers authored by Marco Baiesi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Baiesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Baiesi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Baiesi. A scholar is included among the top collaborators of Marco Baiesi 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 Marco Baiesi. Marco Baiesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Betz, Timo, et al.. (2024). Variance sum rule for entropy production. Science. 383(6686). 971–976. 35 indexed citations
2.
Baiesi, Marco, et al.. (2024). Effective estimation of entropy production with lacking data. Communications Physics. 7(1). 6 indexed citations
3.
Baiesi, Marco, et al.. (2024). Variance sum rule: proofs and solvable models. New Journal of Physics. 26(6). 63013–63013. 3 indexed citations
4.
Hugel, Thorsten, et al.. (2024). Constrained hidden Markov models reveal further Hsp90 protein states. New Journal of Physics. 26(7). 73023–73023. 1 indexed citations
5.
Baiesi, Marco, et al.. (2023). Preliminary evaluation of the climate-induced fatigue in wood: A physical and computational approach. Forces in Mechanics. 11. 100186–100186. 6 indexed citations
6.
Orlandini, Enzo, et al.. (2023). Interpretable Machine Learning of Amino Acid Patterns in Proteins: A Statistical Ensemble Approach. Journal of Chemical Theory and Computation. 19(17). 6011–6022. 3 indexed citations
7.
Michieletto, Davide, et al.. (2022). Dynamic and facilitated binding of topoisomerase accelerates topological relaxation. Nucleic Acids Research. 50(8). 4659–4668. 4 indexed citations
8.
Baiesi, Marco, et al.. (2022). Novel risk assessment tools for the climate-induced mechanical decay of wooden structures: Empirical and machine learning approaches. Forces in Mechanics. 7. 100094–100094. 19 indexed citations
9.
Marturano, Francesca, et al.. (2022). Radiomics and deep learning methods for the prediction of 2-year overall survival in LUNG1 dataset. Scientific Reports. 12(1). 14132–14132. 21 indexed citations
10.
Baiesi, Marco, et al.. (2018). Kinetic uncertainty relation. Journal of Physics A Mathematical and Theoretical. 52(2). 02LT03–02LT03. 80 indexed citations
11.
Davidsen, Jörn & Marco Baiesi. (2016). Self-similar aftershock rates. Physical review. E. 94(2). 22314–22314. 41 indexed citations
12.
Baiesi, Marco, et al.. (2016). Thermal response of nonequilibriumRCcircuits. Physical review. E. 94(2). 22144–22144. 9 indexed citations
13.
Baiesi, Marco, Attilio L. Stella, & Carlo Vanderzande. (2015). Role of trapping and crowding as sources of negative differential mobility. Physical Review E. 92(4). 42121–42121. 17 indexed citations
14.
Walter, Jean‐Charles, Marco Baiesi, G. T. Barkema, & Enrico Carlon. (2013). Unwinding Relaxation Dynamics of Polymers. Physical Review Letters. 110(6). 68301–68301. 11 indexed citations
15.
Baiesi, Marco, Flavio Seno, & Antonio Trovato. (2011). Fibril elongation mechanisms of HET‐s prion‐forming domain: Topological evidence for growth polarity. Proteins Structure Function and Bioinformatics. 79(11). 3067–3081. 6 indexed citations
16.
Baiesi, Marco, Lorenzo Bongini, Lapo Casetti, & Lorenzo Tattini. (2009). Graph theoretical analysis of the energy landscape of model polymers. Physical Review E. 80(1). 11905–11905. 6 indexed citations
17.
Sattin, F. & Marco Baiesi. (2006). Self-Organized-Criticality Model Consistent with Statistical Properties of Edge Turbulence in a Fusion Plasma. Physical Review Letters. 96(10). 105005–105005. 17 indexed citations
18.
Baiesi, Marco, Maya Paczuski, & Attilio L. Stella. (2004). Intensity Thresholds and Superstatistics in the Temporal Occurrence of Solar Flares. arXiv (Cornell University). 2 indexed citations
19.
Baiesi, Marco, Enzo Orlandini, & Attilio L. Stella. (2003). RNA Denaturation: Excluded Volume, Pseudoknots, and Transition Scenarios. Physical Review Letters. 91(19). 198102–198102. 15 indexed citations
20.
Baiesi, Marco, Enrico Carlon, Yariv Kafri, et al.. (2003). Interstrand distance distribution of DNA near melting. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(2). 21911–21911. 15 indexed citations

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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