Eduardo Cuervo

3.0k total citations · 1 hit paper
23 papers, 2.4k citations indexed

About

Eduardo Cuervo is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Human-Computer Interaction. According to data from OpenAlex, Eduardo Cuervo has authored 23 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 6 papers in Human-Computer Interaction. Recurrent topics in Eduardo Cuervo's work include IoT and Edge/Fog Computing (7 papers), Green IT and Sustainability (6 papers) and Image and Video Quality Assessment (5 papers). Eduardo Cuervo is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Green IT and Sustainability (6 papers) and Image and Video Quality Assessment (5 papers). Eduardo Cuervo collaborates with scholars based in United States, United Kingdom and Russia. Eduardo Cuervo's co-authors include Alec Wolman, Stefan Saroiu, Aruna Balasubramanian, Ranveer Chandra, Paramvir Bahl, David Chu, Landon P. Cox, Johannes Kopf, Jason Flinn and Kyungmin Lee and has published in prestigious journals such as Computer Graphics Forum, Lecture notes in computer science and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

In The Last Decade

Eduardo Cuervo

23 papers receiving 2.3k citations

Hit Papers

MAUI 2010 2026 2015 2020 2010 500 1000 1.5k

Peers

Eduardo Cuervo
David Chu United States
Mun Choon Chan Singapore
Qifan Pu United States
Hari Balakrishnan United States
Bodhi Priyantha United States
Aaron Carroll Australia
Xueshi Hou United States
Zary Segall United States
David Chu United States
Eduardo Cuervo
Citations per year, relative to Eduardo Cuervo Eduardo Cuervo (= 1×) peers David Chu

Countries citing papers authored by Eduardo Cuervo

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Cuervo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Cuervo

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

All Works

20 of 20 papers shown
1.
Noghabi, Shadi A., John Kolb, Peter Bodík, & Eduardo Cuervo. (2018). Steel: Simplified Development and Deployment of Edge-Cloud Applications.. 11 indexed citations
2.
Cuervo, Eduardo, Krishna Chintalapudi, & Manikanta Kotaru. (2018). Creating the Perfect Illusion. 7–12. 53 indexed citations
3.
Lebeck, Kiron, Eduardo Cuervo, & Matthai Philipose. (2018). Collaborative Acceleration for Mixed Reality. 1 indexed citations
4.
Bebis, George, Richard Boyle, Bahram Parvin, et al.. (2018). Advances in Visual Computing. Lecture notes in computer science. 6 indexed citations
5.
Chu, David, et al.. (2017). FlashBack. GetMobile Mobile Computing and Communications. 20(4). 23–27. 36 indexed citations
6.
Cuervo, Eduardo. (2017). BEYOND REALITY. GetMobile Mobile Computing and Communications. 21(2). 9–15. 6 indexed citations
7.
Cuervo, Eduardo, et al.. (2016). Demo. 122–122. 5 indexed citations
8.
Cuervo, Eduardo & David Chu. (2016). Poster. 130–130. 4 indexed citations
9.
Chu, David, et al.. (2016). Demo. 94–94. 6 indexed citations
10.
Chu, David, et al.. (2016). FlashBack. 291–304. 106 indexed citations
11.
Cuervo, Eduardo, et al.. (2015). Demo. 443–443. 1 indexed citations
12.
Lee, Kyungmin, David Chu, Eduardo Cuervo, et al.. (2015). Outatime. GetMobile Mobile Computing and Communications. 19(3). 14–17. 4 indexed citations
13.
Lee, Kyungmin, David Chu, Eduardo Cuervo, et al.. (2015). Outatime. 151–165. 133 indexed citations
14.
Cuervo, Eduardo, Alec Wolman, Landon P. Cox, et al.. (2015). Kahawai. 121–135. 70 indexed citations
15.
Cuervo, Eduardo, et al.. (2014). Demo. 345–345. 39 indexed citations
16.
Lee, Kyungmin, David Chu, Eduardo Cuervo, Alec Wolman, & Jason Flinn. (2014). Demo. 347–347. 11 indexed citations
17.
Lee, Kyungmin, et al.. (2014). Outatime: Using Speculation to Enable Low-Latency Continuous Interaction for Cloud Gaming. 10 indexed citations
18.
Cuervo, Eduardo, et al.. (2013). ScreenPass. 291–304. 16 indexed citations
19.
Cuervo, Eduardo, Aruna Balasubramanian, Alec Wolman, et al.. (2010). MAUI. 49–62. 1788 indexed citations breakdown →
20.
Gilbert, Peter, Eduardo Cuervo, & Landon P. Cox. (2009). Experimenting in mobile social contexts using JellyNets. 1–6. 7 indexed citations

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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