Alfredo J. Pérez
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Sherali ZeadallyMiguel A. LabradorJose PosadaSean BarbeauDiego MéndezPedro M. WightmanFarhan SiddiquiDerek R. Lane
- Topics
- Privacy, Security, and Data Protection (12 papers)Context-Aware Activity Recognition Systems (10 papers)IoT and Edge/Fog Computing (8 papers)
- Partner nations
- United StatesColombiaPuerto Rico
In The Last Decade
Alfredo J. Pérez
53 papers receiving 841 citations
Peers
Comparison fields: 5 of 108
- Computer Networks and Communications 281
- Computer Vision and Pattern Recognition 255
- Information Systems 196
- Artificial Intelligence 189
- Electrical and Electronic Engineering 161
Countries citing papers authored by Alfredo J. Pérez
This map shows the geographic impact of Alfredo J. Pérez'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 Alfredo J. Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo J. Pérez more than expected).
Fields of papers citing papers by Alfredo J. Pérez
This network shows the impact of papers produced by Alfredo J. Pérez. 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 Alfredo J. Pérez. The network helps show where Alfredo J. Pérez may publish in the future.
Co-authorship network of co-authors of Alfredo J. Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo J. Pérez. A scholar is included among the top collaborators of Alfredo J. Pérez 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 Alfredo J. Pérez. Alfredo J. Pérez 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 | 4 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 56 | |
| 9 | 34 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | Security and privacy in ubiquitous sensor networks | 19 |
| 13 | 11 | |
| 14 | 13 | |
| 15 | Upgrades and Modifications of the NASA Ames HFFAF Ballistic Range | 1 |
| 16 | An architecture for global ubiquitous sensing | 2 |
| 17 | 85 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | Multiobjective optimization for multicast transmissions on IP/MPLS networks with an optical GMPLS backbone | 1 |
About Alfredo J. Pérez
Alfredo J. Pérez is a scholar working on Computer Science Applications, Computer Networks and Communications and Information Systems, having authored 57 papers that have together received 876 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (12 papers), Context-Aware Activity Recognition Systems (10 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Computer Science Applications (149 citations), Transportation (88 citations) and Computer Vision and Pattern Recognition (255 citations). Alfredo J. Pérez has collaborated with scholars based in United States, Colombia and Puerto Rico. Frequent co-authors include Sherali Zeadally, Miguel A. Labrador, Jose Posada, Sean Barbeau, Diego Méndez, Pedro M. Wightman, Farhan Siddiqui, Derek R. Lane, Nafaâ Jabeur and Suk Jin Lee. Their work appears in journals such as IEEE Communications Magazine, Sensors and Sustainability.
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.