J. G. Oliveira
- Statistical and Nonlinear Physics top 1%
- Economics and Econometrics top 5%
- Transportation top 2%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Co-authors
- Albert-Ĺaszló BarabásiAlexei VázquezZoltán DezsőK.-I. GohImre KondorJ. F. F. MendesS. N. Dorogovt︠s︡evA. V. Goltsev
- Topics
- Complex Network Analysis Techniques (10 papers)Opinion Dynamics and Social Influence (4 papers)Complex Systems and Time Series Analysis (3 papers)
- Partner nations
- PortugalUnited StatesRussia
In The Last Decade
J. G. Oliveira
12 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Statistical and Nonlinear Physics 779
- Economics and Econometrics 181
- Transportation 176
- Computer Networks and Communications 121
- Sociology and Political Science 111
Countries citing papers authored by J. G. Oliveira
This map shows the geographic impact of J. G. Oliveira'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 J. G. Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. G. Oliveira more than expected).
Fields of papers citing papers by J. G. Oliveira
This network shows the impact of papers produced by J. G. Oliveira. 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 J. G. Oliveira. The network helps show where J. G. Oliveira may publish in the future.
Co-authorship network of co-authors of J. G. Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Oliveira. A scholar is included among the top collaborators of J. G. Oliveira 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 J. G. Oliveira. J. G. Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 196 | |
| 2 | 50 | |
| 3 | The interplay of universities and industry through the FP5 network | 6 |
| 4 | 17 | |
| 5 | Modeling bursts and heavy tails in human dynamicsbreakdown → | 465 |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 238 | |
| 10 | Science of Complex Networks: From Biology to the Internet and WWW; CNET 2004 | 9 |
| 11 | 30 | |
| 12 | 3 |
About J. G. Oliveira
J. G. Oliveira is a scholar working on Statistical and Nonlinear Physics, Transportation and Modeling and Simulation, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (4 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (779 citations), Transportation (176 citations) and Modeling and Simulation (62 citations). J. G. Oliveira has collaborated with scholars based in Portugal, United States and Russia. Frequent co-authors include Albert-Ĺaszló Barabási, Alexei Vázquez, Zoltán Dezső, K.-I. Goh, Imre Kondor, J. F. F. Mendes, S. N. Dorogovt︠s︡ev, A. V. Goltsev, Juan A. Almendral and Miguel A. F. Sanjuán. Their work appears in journals such as Nature, Physical Review Letters and Physica A Statistical Mechanics and its Applications.
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.