M. Lovallo

15 papers receiving 421 citations

Peers

M. Lovallo
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 155
  • Geophysics 78
  • Statistical and Nonlinear Physics 58
  • Economics and Econometrics 88
  • Molecular Biology 208
Replace Giacomo Raffaelli with:
Giacomo Raffaelli Italy
Fail Mubarakovich Gafarov Russia
Yasunori Okabe Japan
John F. Lemieux Canada
Aleksandra Pidde Spain
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Gemma Lancaster United Kingdom
Santi Chillemi Spain
Elizabeth J. Akin United States
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M. Lovallo relative to Giacomo Raffaelli Italy Giacomo Raffaelli's profile →
Citations per field
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Giacomo Raffaelli · 1×
Citations per year

Countries citing papers authored by M. Lovallo

Since Specialization
Citations

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

Fields of papers citing papers by M. Lovallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. Lovallo, 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 M. Lovallo Line = papers co-authored together M. Lovallo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201297
2 199378
3 199675
4 199356
5 199242
6 200421
7 201219
8 200510
9 20209
10 20058
11 20196
12 20116
13 20084
14
Analyzing Scaling Behavioral Trends in Self-potential Earthquake-related Data Measured in Mexico
20091
15
Long-term observations of carbonaceous aerosols and related gaseous emissions near a crude-oil plant in South Italy
20131

About M. Lovallo

M. Lovallo is a scholar working on Geophysics, Economics and Econometrics, Signal Processing, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Earthquake Detection and Analysis (7 papers), Ion channel regulation and function (4 papers), Seismology and Earthquake Studies (4 papers), earthquake and tectonic studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Ecosystem dynamics and resilience (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (155 citations), Geophysics (78 citations), Statistical and Nonlinear Physics (58 citations), Economics and Econometrics (88 citations) and Molecular Biology (208 citations). M. Lovallo has collaborated with scholars based in Italy, Germany and Taiwan. Frequent co-authors include Luciano Telesca, Emilio Carbone, Emanuele Sher, Antonella Pollo, Valentina Carabelli, Valeria Magnelli, Howard D. Zucker, V. Lapenna, Agnese Codignola and Fabio CLEMENTI. Their work appears in journals such as Natural hazards and earth system sciences, Pflügers Archiv - European Journal of Physiology, Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals and Europhysics Letters (EPL).

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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