Katia Vega

75 total papers · 1.2k total citations
48 papers, 718 citations indexed

About

Katia Vega is a scholar working on Human-Computer Interaction, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Katia Vega has authored 48 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Human-Computer Interaction, 19 papers in Biomedical Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Katia Vega's work include Interactive and Immersive Displays (16 papers), Innovative Human-Technology Interaction (12 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). Katia Vega is often cited by papers focused on Interactive and Immersive Displays (16 papers), Innovative Human-Technology Interaction (12 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). Katia Vega collaborates with scholars based in United States, Brazil and United Kingdom. Katia Vega's co-authors include Eldy S. Lazaro Vasquez, Hugo Fukś, Pattie Maes, Joe Paradiso, Hao‐Chuan Wang, Xin Liu, Hsin-Liu Kao, Ali K. Yetisen, Joseph A. Paradiso and Chris Schmandt and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Computer.

In The Last Decade

Katia Vega

43 papers receiving 704 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katia Vega 424 245 217 82 66 48 718
Mirela Alistar 450 1.1× 318 1.3× 80 0.4× 232 2.8× 349 5.3× 45 886
Liang He 266 0.6× 64 0.3× 168 0.8× 35 0.4× 82 1.2× 72 642
Timothy Merritt 420 1.0× 66 0.3× 192 0.9× 26 0.3× 145 2.2× 46 762
Pat Pataranutaporn 196 0.5× 78 0.3× 60 0.3× 23 0.3× 50 0.8× 51 755
Hiroshi Ishii 535 1.3× 95 0.4× 291 1.3× 49 0.6× 125 1.9× 74 843
Yiyue Luo 210 0.5× 554 2.3× 269 1.2× 161 2.0× 180 2.7× 34 861
Aditya Shekhar Nittala 432 1.0× 258 1.1× 353 1.6× 69 0.8× 53 0.8× 32 681
Yang Zhang 283 0.7× 242 1.0× 190 0.9× 125 1.5× 30 0.5× 39 643
Jee Hyun Lee 89 0.2× 169 0.7× 18 0.1× 262 3.2× 92 1.4× 103 861
Kazuto Kamiyama 114 0.3× 430 1.8× 330 1.5× 71 0.9× 106 1.6× 53 665

Countries citing papers authored by Katia Vega

Since Specialization
Citations

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

Fields of papers citing papers by Katia Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katia Vega

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

All Works

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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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