Edgar Liberis

429 total citations
5 papers, 250 citations indexed

About

Edgar Liberis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Edgar Liberis has authored 5 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Edgar Liberis's work include Advanced Neural Network Applications (4 papers), CCD and CMOS Imaging Sensors (2 papers) and Machine Learning and ELM (2 papers). Edgar Liberis is often cited by papers focused on Advanced Neural Network Applications (4 papers), CCD and CMOS Imaging Sensors (2 papers) and Machine Learning and ELM (2 papers). Edgar Liberis collaborates with scholars based in United Kingdom and United States. Edgar Liberis's co-authors include Nicholas D. Lane, Píetro Lió, Pietro Sormanni, Petar Veličković, Michele Vendruscolo and Łukasz Dudziak and has published in prestigious journals such as Bioinformatics and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

In The Last Decade

Edgar Liberis

5 papers receiving 238 citations

Peers

Edgar Liberis

MB

RNMI

CVPR

AI

EEE

Kun Wu China

Yoli Shavit Israel

Mujiexin Liu China

Huang Cheng-bing China

Inmaculada Tomeo-Reyes Australia

Shaohong Zhang China

Wentao Liu China

Amrita Amrita India

Fusheng Hao China

Meng Meng China

Kun Wu China

Edgar Liberis

53 ×0.5

MB

8 ×0.1

RNMI

39 ×0.7

CVPR

53 ×1.0

AI

17 ×0.3

EEE

Citations per year, relative to Edgar Liberis Edgar Liberis (= 1×) peers Kun Wu

Countries citing papers authored by Edgar Liberis

Since Specialization

Citations

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

Fields of papers citing papers by Edgar Liberis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edgar Liberis

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

All Works

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5 of 5 papers shown

1.

Liberis, Edgar, et al.. (2022). Deep learning on microcontrollers. 54–63. 11 indexed citations

2.

Liberis, Edgar & Nicholas D. Lane. (2022). Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(4). 1–19. 14 indexed citations

3.

Liberis, Edgar, Łukasz Dudziak, & Nicholas D. Lane. (2021). μNAS. 70–79. 50 indexed citations

4.

Liberis, Edgar, et al.. (2020). The Final Frontier. 45–49. 63 indexed citations

5.

Liberis, Edgar, Petar Veličković, Pietro Sormanni, Michele Vendruscolo, & Píetro Lió. (2018). Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinformatics. 34(17). 2944–2950. 112 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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