Ana Lucía Schmidt
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 3
- Communication top 2%
- Social Media and Politics 3
- Transportation top 2%
- Health top 5%
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- Misinformation and Its Impacts 9
- Climate Change Communication and Perception 2
- Urban, Neighborhood, and Segregation Studies 2
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- Opinion Dynamics and Social Influence 3
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- Biomedical Text Mining and Ontologies 2
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- Topic Modeling 2
- Co-authors
- Walter QuattrociocchiAntonio ScalaFabiana ZolloMatteo CinelliAlessandro GaleazziFrancesco PierriFabio PammolliGiovanni Bonaccorsi
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)Drug Discovery Today (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Ana Lucía Schmidt
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Modeling and Simulation 391
- Communication 223
- Transportation 203
- Health 238
- Sociology and Political Science 572
Countries citing papers authored by Ana Lucía Schmidt
This map shows the geographic impact of Ana Lucía Schmidt'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 Ana Lucía Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Lucía Schmidt more than expected).
Fields of papers citing papers by Ana Lucía Schmidt
This network shows the impact of papers produced by Ana Lucía Schmidt. 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 Ana Lucía Schmidt. The network helps show where Ana Lucía Schmidt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ana Lucía Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 6 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 86 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 55 | |
| 9 | 2020 | 11 | |
| 10 | Economic and social consequences of human mobility restrictions under COVID-19breakdown → | 2020 | 695 |
| 11 | 2020 | 5 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 3 | |
| 14 | Polarization of the vaccination debate on Facebookbreakdown → | 2018 | 265 |
| 15 | 2018 | 1 | |
| 16 | 2017 | 178 | |
| 17 | 2012 | 16 |
About Ana Lucía Schmidt
Ana Lucía Schmidt is a scholar working on Modeling and Simulation, Communication and Health, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (9 papers), Social Media and Politics (3 papers), COVID-19 epidemiological studies (3 papers), Opinion Dynamics and Social Influence (3 papers), Climate Change Communication and Perception (2 papers), Biomedical Text Mining and Ontologies (2 papers), Urban, Neighborhood, and Segregation Studies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Modeling and Simulation (391 citations), Communication (223 citations) and Transportation (203 citations). Ana Lucía Schmidt has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Walter Quattrociocchi, Antonio Scala, Fabiana Zollo, Matteo Cinelli, Alessandro Galeazzi, Francesco Pierri, Fabio Pammolli, Giovanni Bonaccorsi, Carlo Michele Valensise and Francesco Porcelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Drug Discovery Today.
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.