Adelein Rodriguez

415 citations
5 papers · 320 · h-index 5

Impact in

Papers in

Adelein Rodriguez

5 papers receiving 307 citations

Peers

Adelein Rodriguez
Comparison fields: 5 of 34
  • Artificial Intelligence 226
  • Computer Graphics and Computer-Aided Design 21
  • Visual Arts and Performing Arts 28
  • Architecture 12
  • Computer Vision and Pattern Recognition 42
Replace Nicholas Beato with:
Nicholas Beato United States
Taras Kowaliw France
David Ha United States
Hyeon Jeon South Korea
Palle Dahlstedt Sweden
Kashyap Todi Belgium
Marc Downie United States
Tomoyasu Nakano Japan
Yilin Ye China
Jon Wetzel United States
Adelein Rodriguez relative to Nicholas Beato United States Nicholas Beato's profile →
Citations per field
00.5×1.5×
Nicholas Beato · 1×
Citations per year

Countries citing papers authored by Adelein Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Adelein Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Adelein Rodriguez, 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 Adelein Rodriguez Line = papers co-authored together Adelein Rodriguez links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2008150
2 2010149
3
Picbreeder: evolving pictures collaboratively online
200810
4 20096
5 20085

About Adelein Rodriguez

Adelein Rodriguez is a scholar working on Artificial Intelligence, Computer Science Applications, Visual Arts and Performing Arts, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 5 papers that have together received 320 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Music Technology and Sound Studies (1 paper), Military Strategy and Technology (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Art, Technology, and Culture (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Artificial Intelligence (226 citations), Computer Graphics and Computer-Aided Design (21 citations), Visual Arts and Performing Arts (28 citations), Architecture (12 citations) and Computer Vision and Pattern Recognition (42 citations). Adelein Rodriguez has collaborated with scholars based in United States. Frequent co-authors include Adam Campbell, Nicholas Beato, Jimmy Secretan, Kenneth Owen Stanley, David B. D’Ambrosio and Avelino J. González. Their work appears in journals such as Evolutionary Computation, Leonardo, The Journal of Defense Modeling and Simulation Applications Methodology Technology and ACM SIGCHI Conference on Human Factors in Computing Systems (CHI).

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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