Daniel Cordeiro
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Optimization and Search Problems
Papers in
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- Distributed and Parallel Computing Systems 15
- IoT and Edge/Fog Computing 5
- Optimization and Search Problems 4
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- Cloud Computing and Resource Management 9
- Co-authors
- Raphael Y. de Camargo (4 shared papers)Alfredo Goldman (8 shared papers)Denis Trystram (5 shared papers)Johanne Cohen (4 shared papers)Marcelo Medeiros Eler (1 shared paper)Frédéric Wagner (2 shared papers)Marco Aurélio Gerosa (1 shared paper)Fábio Kon (2 shared papers)
In The Last Decade
Daniel Cordeiro
23 papers receiving 134 citations
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 54
- Computer Networks and Communications 97
- Information Systems 56
- Industrial and Manufacturing Engineering 19
- Management Science and Operations Research 13
Countries citing papers authored by Daniel Cordeiro
This map shows the geographic impact of Daniel Cordeiro'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 Daniel Cordeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cordeiro more than expected).
Fields of papers citing papers by Daniel Cordeiro
This network shows the impact of papers produced by Daniel Cordeiro. 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 Daniel Cordeiro. The network helps show where Daniel Cordeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cordeiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 22 | |
| 2 | 2015 | 20 | |
| 3 | 2014 | 14 | |
| 4 | 2017 | 11 | |
| 5 | 2011 | 8 | |
| 6 | 2010 | 8 | |
| 7 | 2011 | 8 | |
| 8 | 2018 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2007 | 4 | |
| 12 | 2015 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2014 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2013 | 1 |
About Daniel Cordeiro
Daniel Cordeiro is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Building and Construction and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 136 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Cloud Computing and Resource Management (9 papers), Parallel Computing and Optimization Techniques (9 papers), IoT and Edge/Fog Computing (5 papers), Traffic Prediction and Management Techniques (5 papers), Optimization and Search Problems (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Hardware and Architecture (54 citations), Computer Networks and Communications (97 citations), Information Systems (56 citations), Industrial and Manufacturing Engineering (19 citations) and Management Science and Operations Research (13 citations). Daniel Cordeiro has collaborated with scholars based in Brazil, France and Peru. Frequent co-authors include Raphael Y. de Camargo, Alfredo Goldman, Denis Trystram, Johanne Cohen, Marcelo Medeiros Eler, Frédéric Wagner, Marco Aurélio Gerosa, Fábio Kon, François Broquedis and Abhinav Bhatelé. Their work appears in journals such as World Allergy Organization Journal, Journal of Parallel and Distributed Computing, Lecture notes in computer science, Concurrency and Computation Practice and Experience and Advances in parallel 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.