Daniel R. Figueiredo
- Computer Networks and Communications top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Don TowsleyJim KuroseZihui GeSharad JaiswalEdmundo de Souza e SilvaVishal MisraMatthias GrossglauserBenyuan Liu
- Topics
- Complex Network Analysis Techniques (20 papers)Network Traffic and Congestion Control (11 papers)Peer-to-Peer Network Technologies (10 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsManagement Science and Operations Research
- Partner nations
- BrazilUnited StatesSwitzerland
In The Last Decade
Daniel R. Figueiredo
44 papers receiving 697 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 549
- Artificial Intelligence 151
- Statistical and Nonlinear Physics 131
- Electrical and Electronic Engineering 82
- Information Systems 74
Countries citing papers authored by Daniel R. Figueiredo
This map shows the geographic impact of Daniel R. Figueiredo'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 R. Figueiredo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Figueiredo more than expected).
Fields of papers citing papers by Daniel R. Figueiredo
This network shows the impact of papers produced by Daniel R. Figueiredo. 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 R. Figueiredo. The network helps show where Daniel R. Figueiredo may publish in the future.
Co-authorship network of co-authors of Daniel R. Figueiredo
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Figueiredo. A scholar is included among the top collaborators of Daniel R. Figueiredo 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 Daniel R. Figueiredo. Daniel R. Figueiredo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 22 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | Ranqueamento Supervisionado de Autores em Redes de Colaboração Científica. | 1 |
| 12 | Time-Aware Ranking in Sport Social Networks | 5 |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 15 | |
| 18 | 16 | |
| 19 | 16 | |
| 20 | 40 |
About Daniel R. Figueiredo
Daniel R. Figueiredo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Management Science and Operations Research, having authored 52 papers that have together received 746 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Network Traffic and Congestion Control (11 papers) and Peer-to-Peer Network Technologies (10 papers). The work is most often cited by research in Computer Networks and Communications (549 citations), Statistical and Nonlinear Physics (131 citations) and Management Science and Operations Research (62 citations). Daniel R. Figueiredo has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include Don Towsley, Jim Kurose, Zihui Ge, Sharad Jaiswal, Edmundo de Souza e Silva, Vishal Misra, Matthias Grossglauser, Benyuan Liu, Yang Guo and Kyoungwon Suh. Their work appears in journals such as IEEE Access, Information Sciences and Journal of Statistical Physics.
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.