Natalie Ruiz

1.0k citations
18 papers · 593 indexed · h-index 10
Topics
Visual and Cognitive Learning Processes (12 papers)Speech and dialogue systems (12 papers)Gaze Tracking and Assistive Technology (6 papers)
Journals
ACM Transactions on Interactive Intelligent SystemsIFAC Proceedings VolumesElectronic workshops in computing
Partner nations
AustraliaChina

In The Last Decade

Natalie Ruiz

15 papers receiving 566 citations

Peers

Natalie Ruiz
Comparison fields: 5 of 85
  • Experimental and Cognitive Psychology 231
  • Cognitive Neuroscience 205
  • Social Psychology 194
  • Human-Computer Interaction 166
  • Artificial Intelligence 140
Replace Eric H. C. Choi with:
Eric H. C. Choi Australia
Gene Davis United States
Patrick Craven United States
Peter A. Heeman United States
Shoya Ishimaru Germany
Eija Haapalainen Finland
Jonathan Dobres United States
Marco Pedrotti France
Fatma Nasoz United States
Daniel S. McConnell United States
Natalie Ruiz relative to Eric H. C. Choi Australia Eric H. C. Choi's profile →
Citations per field
00.5×1.7×
Eric H. C. Choi · 1×
Citations per year

Countries citing papers authored by Natalie Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Ruiz

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 72
2 7
3 100
4 6
5 3
6 9
7 19
8 1
9 27
10 4
11 258
12 17
13 42
14 17
15 1
16
Exploratory study of lexical patterns in multimodal cues
1
17 0
18 9

About Natalie Ruiz

Natalie Ruiz is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 18 papers that have together received 593 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (12 papers), Speech and dialogue systems (12 papers) and Gaze Tracking and Assistive Technology (6 papers). The work is most often cited by research in Human-Computer Interaction (166 citations), Experimental and Cognitive Psychology (231 citations) and Cognitive Neuroscience (205 citations). Natalie Ruiz has collaborated with scholars based in Australia and China. Frequent co-authors include Fang Chen, Ronnie Taib, Eric H. C. Choi, Yu Shi, Julien Epps, M. Asif Khawaja, Bo Yin, Yang Wang, Eliathamby Ambikairajah and Mike Wu. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, IFAC Proceedings Volumes and Electronic workshops in computing.

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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