Federico Botta

427 citations
16 papers · 297 · h-index 9

Impact in

Papers in

    • Human Mobility and Location-Based Analysis 10
    • Urban Transport and Accessibility 4
    • Data-Driven Disease Surveillance 6

Federico Botta

15 papers receiving 291 citations

Peers

Federico Botta
Comparison fields: 5 of 72
  • Transportation 137
  • Statistical and Nonlinear Physics 61
  • Modeling and Simulation 15
  • Building and Construction 37
  • Global and Planetary Change 49
Replace Alec Kirkley with:
Alec Kirkley Hong Kong
Vahid Dabbaghian Canada
Maarten Vanhoof France
Ulf Aslak Denmark
Keumsook Lee South Korea
Lian Duan China
Víctor Soto United States
Johannes Bjelland Norway
Saray Shai United States
Enrico Steiger Germany
Federico Botta relative to Alec Kirkley Hong Kong Alec Kirkley's profile →
Citations per field
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Alec Kirkley · 1×
Citations per year

Countries citing papers authored by Federico Botta

Since Specialization
Citations

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

Fields of papers citing papers by Federico Botta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Federico Botta, 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 Federico Botta Line = papers co-authored together Federico Botta links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201594
2 202135
3 202333
4 201533
5 201622
6 201718
7 201914
8 202212
9
Quantifying Crowd Size with Mobile Phone and Twitter Data
201510
10 20208
11 20198
12 20214
13 20233
14 20242
15 20241
16 20250

About Federico Botta

Federico Botta is a scholar working on Transportation, Epidemiology, Sociology and Political Science, Statistical and Nonlinear Physics and Ocean Engineering, having authored 16 papers that have together received 297 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (10 papers), Data-Driven Disease Surveillance (6 papers), Urban Transport and Accessibility (4 papers), Evacuation and Crowd Dynamics (3 papers), Complex Network Analysis Techniques (3 papers), Misinformation and Its Impacts (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Transportation (137 citations), Statistical and Nonlinear Physics (61 citations), Modeling and Simulation (15 citations), Building and Construction (37 citations) and Global and Planetary Change (49 citations). Federico Botta has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Helen Susannah Moat, Tobias Preis, Charo I. del Genio, Mario Gutiérrez-Roig, H. Eugene Stanley, Filippo Privitera, Riccardo Di Clemente, Hugo Barbosa, Ronaldo Menezes and Massimo Stella. Their work appears in journals such as Environment and Planning B Urban Analytics and City Science, PLoS ONE, Royal Society Open Science, EPJ Data Science and Data Science Journal.

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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