Marisa Vasconcelos

1.0k citations
40 papers · 622 indexed · h-index 13

Impact in

Papers in

Marisa Vasconcelos

36 papers receiving 587 citations

Peers

Marisa Vasconcelos
Comparison fields: 5 of 81
  • Communication 164
  • Transportation 103
  • Sociology and Political Science 322
  • Statistical and Nonlinear Physics 89
  • Artificial Intelligence 199
Replace Hemant Purohit with:
Hemant Purohit United States
Gabriel Magno Brazil
Atefeh Farzindar Canada
Venkata Rama Kiran Garimella Qatar
Jakob Rogstadius Portugal
David Laniado Spain
Eduardo Graells-Garrido Chile
Damiano Spina Australia
Matheus Araújo United States
Fred Stutzman United States
Marisa Vasconcelos relative to Hemant Purohit United States Hemant Purohit's profile →
Citations per field
00.5×3.2×
Hemant Purohit · 1×
Citations per year

Countries citing papers authored by Marisa Vasconcelos

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Vasconcelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marisa Vasconcelos, 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 Marisa Vasconcelos Line = papers co-authored together Marisa Vasconcelos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20241
3 20230
4 20233
5 20221
6 20215
7 20205
8 20204
9 20201
10 20191
11 20188
12 20186
13 201812
14 201722
15 20117
16
Disseminacao de Conteudo PoluÌdo em redes P2P
20060
17 200618
18 20048
19 20044
20
Análise da distribuição de streaming media em arquiteturas do tipo peer-to-peer
20030

About Marisa Vasconcelos

Marisa Vasconcelos is a scholar working on Communication, Human-Computer Interaction, Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 40 papers that have together received 622 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (9 papers), Social Media and Politics (8 papers), Hate Speech and Cyberbullying Detection (6 papers), Peer-to-Peer Network Technologies (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Communication (164 citations), Transportation (103 citations), Sociology and Political Science (322 citations), Statistical and Nonlinear Physics (89 citations) and Artificial Intelligence (199 citations). Marisa Vasconcelos has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Jussara M. Almeida, Fabrí­cio Benevenuto, Gustavo Gomes Resende, Virgı́lio Almeida, Philipe Melo, Johnnatan Messias, Tatiana Barcelos Pontes, Ponnurangam Kumaraguru, Marcos André Gonçalves and Cláudio Pinhanez. Their work appears in journals such as Journal of Pediatric Urology, Social Network Analysis and Mining, Information Sciences, Journal of Parallel and Distributed Computing and BMJ Case Reports.

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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2026