Emmanuel Amaro

18 total papers · 959 total citations
15 papers, 669 citations indexed

About

Emmanuel Amaro is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Emmanuel Amaro has authored 15 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Hardware and Architecture and 6 papers in Information Systems. Recurrent topics in Emmanuel Amaro's work include Parallel Computing and Optimization Techniques (7 papers), Cloud Computing and Resource Management (6 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Emmanuel Amaro is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Cloud Computing and Resource Management (6 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Emmanuel Amaro collaborates with scholars based in United States and United Kingdom. Emmanuel Amaro's co-authors include Hadi Esmaeilzadeh, Divya Mahajan, Jongse Park, Joon Kyung Kim, Hardik Sharma, Asit Mishra, Amir Yazdanbakhsh, Scott Shenker, Amy Ousterhout and Aurojit Panda and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Micro and ACM SIGOPS Operating Systems Review.

In The Last Decade

Emmanuel Amaro

15 papers receiving 653 citations

Hit Papers

From high-level deep neur... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Emmanuel Amaro 314 299 239 211 180 15 669
Robert Adolf 345 1.1× 426 1.4× 190 0.8× 294 1.4× 226 1.3× 11 780
Youngsok Kim 296 0.9× 252 0.8× 278 1.2× 187 0.9× 206 1.1× 41 682
Sagar Karandikar 352 1.1× 248 0.8× 395 1.7× 75 0.4× 122 0.7× 19 740
Ramyad Hadidi 316 1.0× 252 0.8× 377 1.6× 309 1.5× 205 1.1× 31 757
Meghan Cowan 223 0.7× 155 0.5× 132 0.6× 311 1.5× 249 1.4× 6 564
Jason Clemons 265 0.8× 415 1.4× 169 0.7× 297 1.4× 161 0.9× 21 741
Giuseppe Desoli 507 1.6× 247 0.8× 344 1.4× 106 0.5× 91 0.5× 24 699
Yuze Chi 510 1.6× 260 0.9× 365 1.5× 258 1.2× 158 0.9× 29 775
Lifeng Nai 380 1.2× 229 0.8× 364 1.5× 271 1.3× 197 1.1× 19 746
Todd Massengill 369 1.2× 277 0.9× 327 1.4× 193 0.9× 182 1.0× 5 712

Countries citing papers authored by Emmanuel Amaro

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Amaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Amaro

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Amaro. A scholar is included among the top collaborators of Emmanuel Amaro 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 Emmanuel Amaro. Emmanuel Amaro 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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