Miguel G. Xavier
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Hardware and Architecture top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- César A. F. De RoseMarcelo Veiga NevesFábio Diniz RossiTiago FerretoRodrigo N. CalheirosRajkumar BuyyaSergio GusmeroliSílvia Modesto Nassar
- Topics
- Cloud Computing and Resource Management (16 papers)Distributed and Parallel Computing Systems (7 papers)Advanced Data Storage Technologies (7 papers)
In The Last Decade
Miguel G. Xavier
20 papers receiving 504 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 438
- Information Systems 410
- Hardware and Architecture 65
- Artificial Intelligence 38
- Electrical and Electronic Engineering 27
Countries citing papers authored by Miguel G. Xavier
This map shows the geographic impact of Miguel G. Xavier'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 Miguel G. Xavier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel G. Xavier more than expected).
Fields of papers citing papers by Miguel G. Xavier
This network shows the impact of papers produced by Miguel G. Xavier. 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 Miguel G. Xavier. The network helps show where Miguel G. Xavier may publish in the future.
Co-authorship network of co-authors of Miguel G. Xavier
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel G. Xavier. A scholar is included among the top collaborators of Miguel G. Xavier 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 Miguel G. Xavier. Miguel G. Xavier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 30 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 33 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 51 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 57 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | Performance Evaluation of Container-Based Virtualization for High Performance Computing Environmentsbreakdown → | 288 |
| 20 | 1 |
About Miguel G. Xavier
Miguel G. Xavier is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 20 papers that have together received 531 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Computer Networks and Communications (438 citations), Information Systems (410 citations) and Hardware and Architecture (65 citations). Miguel G. Xavier has collaborated with scholars based in Brazil, Australia and Italy. Frequent co-authors include César A. F. De Rose, Marcelo Veiga Neves, Fábio Diniz Rossi, Tiago Ferreto, Rodrigo N. Calheiros, Rajkumar Buyya, Sergio Gusmeroli, Sílvia Modesto Nassar, André G. S. Conceição and Mário A. R. Dantas. Their work appears in journals such as Sensors, Journal of Network and Computer Applications and Concurrency and Computation Practice and Experience.
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.