William D. Ferreira

476 citations
4 papers · 299 indexed · 1 hit paper · h-index 3
Topics
Topic Modeling (2 papers)Spam and Phishing Detection (1 paper)Visual Attention and Saliency Detection (1 paper)

In The Last Decade

William D. Ferreira

4 papers receiving 281 citations

Hit Papers

Emergent: a novel data-set for stance classification2016202620192022201650100150200

Peers

William D. Ferreira
Comparison fields: 5 of 32
  • Artificial Intelligence 181
  • Sociology and Political Science 164
  • Information Systems 130
  • Computer Vision and Pattern Recognition 73
  • Signal Processing 30
Replace Zhijiang Guo with:
Zhijiang Guo United Kingdom
Olga Papadopoulou Greece
Christina Boididou United Kingdom
Zainab Imtiaz Pakistan
Dhruv Khattar India
Chuan‐Jie Lin Taiwan
Steven Van Canneyt Belgium
Özlem Özgöbek Norway
Tim Gollub Germany
Dan Gillick United States
William D. Ferreira relative to Zhijiang Guo United Kingdom Zhijiang Guo's profile →
Citations per field
00.5×1.5×2.5×
Zhijiang Guo · 1×
Citations per year

Countries citing papers authored by William D. Ferreira

Since Specialization
Citations

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

Fields of papers citing papers by William D. Ferreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Ferreira. 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 William D. Ferreira. The network helps show where William D. Ferreira may publish in the future.

Co-authorship network of co-authors of William D. Ferreira

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 63
3 6
4
Emergent: a novel data-set for stance classificationbreakdown →
229

About William D. Ferreira

William D. Ferreira is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 4 papers that have together received 299 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Spam and Phishing Detection (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Information Systems (130 citations), Artificial Intelligence (181 citations) and Sociology and Political Science (164 citations). William D. Ferreira has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Andreas Vlachos, Fabrízzio Soares, Hélio Pedrini and Neil D. B. Bruce. Their work appears in journals such as Computers & Electrical Engineering, Canadian Journal of Electrical and Computer Engineering and Apollo (University of Cambridge).

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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