Danilo Medeiros Eler

43 papers receiving 563 citations

Hit Papers

From explanations to feature selection: assessing SHAP va...2020202620222024202050100150200250

Peers

Danilo Medeiros Eler
Comparison fields: 5 of 135
  • Artificial Intelligence 189
  • Computer Vision and Pattern Recognition 182
  • Information Systems 67
  • Signal Processing 67
  • Computer Graphics and Computer-Aided Design 28
Replace Wilson E. Marcílio-Jr with:
Wilson E. Marcílio-Jr Brazil
Tehseen Zia Pakistan
Nitin Gupta India
Rafael M. Martins Sweden
Miguel Ángel Bautista Spain
Anum Mehmood China
Abdulaziz S. Almazyad Saudi Arabia
Angelos Chatzimparmpas Sweden
Anastasios Drosou Greece
Danilo Medeiros Eler relative to Wilson E. Marcílio-Jr Brazil Wilson E. Marcílio-Jr's profile →
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Wilson E. Marcílio-Jr · 1×
Citations per year

Countries citing papers authored by Danilo Medeiros Eler

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Medeiros Eler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Medeiros Eler. 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 Danilo Medeiros Eler. The network helps show where Danilo Medeiros Eler may publish in the future.

Co-authorship network of co-authors of Danilo Medeiros Eler

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

All Works

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8 1
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12 29
13 1
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About Danilo Medeiros Eler

Danilo Medeiros Eler is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Software, having authored 51 papers that have together received 585 indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Image Retrieval and Classification Techniques (13 papers) and Video Analysis and Summarization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Computer Graphics and Computer-Aided Design (28 citations) and Human Factors and Ergonomics (15 citations). Danilo Medeiros Eler has collaborated with scholars based in Brazil, Netherlands and United States. Frequent co-authors include Wilson E. Marcílio-Jr, Fernando V. Paulovich, Rosane Minghim, Rogério Eduardo Garcia, Jorge Poco, Charl P. Botha, Luís Gustavo Nonato, Maria Cristina Ferreira de Oliveira, Gabriel Spadon and Bruno Brandoli Machado. Their work appears in journals such as Expert Systems with Applications, Remote Sensing and IEEE Transactions on Visualization and Computer Graphics.

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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