Evandro Cunha

538 citations
17 papers · 237 · h-index 7

Impact in

Papers in

Evandro Cunha

12 papers receiving 218 citations

Peers

Evandro Cunha
Comparison fields: 5 of 78
  • Communication 67
  • Human-Computer Interaction 21
  • Statistical and Nonlinear Physics 29
  • Sociology and Political Science 99
  • Artificial Intelligence 70
Replace Emad Khazraee with:
Emad Khazraee United States
Amin Mekacher United Kingdom
Charla M. Burnett United States
Vinciane Zabban France
Nahema Marchal United Kingdom
John D. Boy Netherlands
Stefanie Walter Germany
Adrienne Russell United States
Ines Engelmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Evandro Cunha

Since Specialization
Citations

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

Fields of papers citing papers by Evandro Cunha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Evandro Cunha, 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 Evandro Cunha Line = papers co-authored together Evandro Cunha links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Analyzing the Dynamic Evolution of Hashtags on Twitter: a Language-Based Approach
201166
2 202245
3 201430
4 201826
5 201624
6 202420
7 201215
8 20145
9 20143
10 20231
11 20201
12 20211
13 20230
14
A FACE FEMININA DE DEUS
20050
15 20210
16 20210
17 20220

About Evandro Cunha

Evandro Cunha is a scholar working on Artificial Intelligence, Sociology and Political Science, Language and Linguistics, Human-Computer Interaction and Communication, having authored 17 papers that have together received 237 indexed citations. Recurring topics across this work include Digital Communication and Language (4 papers), Natural Language Processing Techniques (3 papers), Linguistics and Language Studies (3 papers), Authorship Attribution and Profiling (3 papers), Social Media and Politics (2 papers), Misinformation and Its Impacts (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Communication (67 citations), Human-Computer Interaction (21 citations), Statistical and Nonlinear Physics (29 citations), Sociology and Political Science (99 citations) and Artificial Intelligence (70 citations). Evandro Cunha has collaborated with scholars based in Brazil, Spain and United States. Frequent co-authors include Virgı́lio Almeida, Gabriel Magno, Marcos André Gonçalves, Fabrí­cio Benevenuto, Giovanni Comarela, Letícia Santos de Lima, Minhui Xue, Keith W. Ross, Raoni Rajão and Britaldo Soares‐Filho. Their work appears in journals such as Corpora, Communications Earth & Environment, Biological Conservation, PLoS ONE and SHILAP Revista de lepidopterología.

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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