João L. Sobral
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Information Systems top 10%
- Hardware and Architecture top 10%
- Automotive Engineering
- Co-authors
- Miguel P. MonteiroAlberto José ProençaJoão F. FerreiraLuís OliveiraDon BatoryMiguel RochaTandy WarnowKeshav Pingali
- Topics
- Advanced Software Engineering Methodologies (12 papers)Distributed and Parallel Computing Systems (11 papers)Parallel Computing and Optimization Techniques (8 papers)
- Journals
- SustainabilityFuture Generation Computer SystemsComputer Methods and Programs in Biomedicine
- Partner nations
- PortugalUnited StatesMexico
In The Last Decade
João L. Sobral
26 papers receiving 188 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 111
- Artificial Intelligence 80
- Information Systems 71
- Hardware and Architecture 57
- Automotive Engineering 24
Countries citing papers authored by João L. Sobral
This map shows the geographic impact of João L. Sobral'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 João L. Sobral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João L. Sobral more than expected).
Fields of papers citing papers by João L. Sobral
This network shows the impact of papers produced by João L. Sobral. 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 João L. Sobral. The network helps show where João L. Sobral may publish in the future.
Co-authorship network of co-authors of João L. Sobral
This figure shows the co-authorship network connecting the top 25 collaborators of João L. Sobral. A scholar is included among the top collaborators of João L. Sobral 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 João L. Sobral. João L. Sobral is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | Non-Invasive Gridification through an Aspect-Oriented Approach | 1 |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 24 | |
| 19 | 36 | |
| 20 | 2 |
About João L. Sobral
João L. Sobral is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 30 papers that have together received 202 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (12 papers), Distributed and Parallel Computing Systems (11 papers) and Parallel Computing and Optimization Techniques (8 papers). The work is most often cited by research in Hardware and Architecture (57 citations), Software (19 citations) and Computer Networks and Communications (111 citations). João L. Sobral has collaborated with scholars based in Portugal, United States and Mexico. Frequent co-authors include Miguel P. Monteiro, Alberto José Proença, João F. Ferreira, Luís Oliveira, Don Batory, Miguel Rocha, Tandy Warnow, Keshav Pingali and Renato Gonçalves. Their work appears in journals such as Sustainability, Future Generation Computer Systems and Computer Methods and Programs in Biomedicine.
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.