Christopher Torres-Lugo

652 total citations · 1 hit paper
10 papers, 315 citations indexed

About

Christopher Torres-Lugo is a scholar working on Sociology and Political Science, Artificial Intelligence and Communication. According to data from OpenAlex, Christopher Torres-Lugo has authored 10 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 4 papers in Artificial Intelligence and 3 papers in Communication. Recurrent topics in Christopher Torres-Lugo's work include Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (4 papers) and Social Media and Politics (3 papers). Christopher Torres-Lugo is often cited by papers focused on Misinformation and Its Impacts (8 papers), Hate Speech and Cyberbullying Detection (4 papers) and Social Media and Politics (3 papers). Christopher Torres-Lugo collaborates with scholars based in United States, Italy and United Kingdom. Christopher Torres-Lugo's co-authors include Filippo Menczer, Pik-Mai Hui, Kai‐Cheng Yang, Francesco Pierri, David Axelrod, John Bryden, Alessandro Flammini, Matthew DeVerna and Marco Brambilla and has published in prestigious journals such as Big Data & Society, Europe PMC (PubMed Central) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Christopher Torres-Lugo

10 papers receiving 302 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The COVID-19 Infodemic: Twitter versus Facebook

2021 135 citations Kai‐Cheng Yang, Francesco Pierri et al. Big Data & Society profile →

Peers

Christopher Torres-Lugo

SPS

AI

COMMU

HEALT

IS

Renée DiResta United States

Nicola Castaldo Italy

Joshua Uyheng United States

Matthew DeVerna United States

Aravind Sesagiri Raamkumar Singapore

Koyel Chakraborty India

Alicja Kubanek Poland

Shadi Shahsavari United States

Roja Bandari United States

Hwalbin Kim United States

Renée DiResta United States

Christopher Torres-Lugo

230 ×0.9

SPS

103 ×0.9

AI

117 ×1.3

COMMU

60 ×0.8

HEALT

37 ×0.5

IS

Citations per year, relative to Christopher Torres-Lugo Christopher Torres-Lugo (= 1×) peers Renée DiResta

Countries citing papers authored by Christopher Torres-Lugo

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Torres-Lugo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Torres-Lugo. 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 Christopher Torres-Lugo. The network helps show where Christopher Torres-Lugo may publish in the future.

Co-authorship network of co-authors of Christopher Torres-Lugo

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Torres-Lugo, Christopher, Kai‐Cheng Yang, & Filippo Menczer. (2022). The Manufacture of Partisan Echo Chambers by Follow Train Abuse on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 16. 1017–1028. 5 indexed citations

2.

Pierri, Francesco, et al.. (2022). VaccinEU: COVID-19 Vaccine Conversations on Twitter in French, German and Italian. Proceedings of the International AAAI Conference on Web and Social Media. 16. 1236–1244. 7 indexed citations

3.

Torres-Lugo, Christopher, et al.. (2022). Manipulating Twitter through Deletions. Proceedings of the International AAAI Conference on Web and Social Media. 16. 1029–1039. 11 indexed citations

4.

DeVerna, Matthew, Francesco Pierri, David Axelrod, et al.. (2021). CoVaxxy: A global collection of English Twitter posts about COVID-19 vaccines. Europe PMC (PubMed Central). 7 indexed citations

5.

Hui, Pik-Mai, et al.. (2021). Uncovering Coordinated Networks on Social Media: Methods and Case Studies. Proceedings of the International AAAI Conference on Web and Social Media. 15. 455–466. 70 indexed citations

6.

Yang, Kai‐Cheng, Francesco Pierri, Pik-Mai Hui, et al.. (2021). The COVID-19 Infodemic: Twitter versus Facebook. Big Data & Society. 8(1). 135 indexed citations breakdown →

7.

DeVerna, Matthew, Francesco Pierri, David Axelrod, et al.. (2021). CoVaxxy: A Collection of English-Language Twitter Posts About COVID-19 Vaccines. Proceedings of the International AAAI Conference on Web and Social Media. 15. 992–999. 49 indexed citations

8.

Hui, Pik-Mai, Kai‐Cheng Yang, Christopher Torres-Lugo, & Filippo Menczer. (2020). BotSlayer: DIY Real-Time Influence Campaign Detection. Proceedings of the International AAAI Conference on Web and Social Media. 14. 980–982. 6 indexed citations

9.

Hui, Pik-Mai, et al.. (2020). Uncovering Coordinated Networks on Social Media.. 12 indexed citations

10.

Hui, Pik-Mai, et al.. (2019). BotSlayer: real-time detection of bot amplification on Twitter. The Journal of Open Source Software. 4(42). 1706–1706. 13 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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