Eduardo Pasiliao
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Computational Mechanics top 10%
- Co-authors
- Tathagata MukherjeeDebashri RoyMainak ChatterjeeTansel YucelenYuyuan OuyangYunmei ChenGuanghui LanErik Blasch
- Topics
- Distributed Control Multi-Agent Systems (11 papers)Complex Network Analysis Techniques (6 papers)Neural Networks Stability and Synchronization (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlEuropean Journal of Operational Research
- Partner nations
- United States
In The Last Decade
Eduardo Pasiliao
31 papers receiving 581 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 237
- Computer Networks and Communications 176
- Electrical and Electronic Engineering 138
- Control and Systems Engineering 113
- Computational Mechanics 93
Countries citing papers authored by Eduardo Pasiliao
This map shows the geographic impact of Eduardo Pasiliao'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 Eduardo Pasiliao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Pasiliao more than expected).
Fields of papers citing papers by Eduardo Pasiliao
This network shows the impact of papers produced by Eduardo Pasiliao. 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 Eduardo Pasiliao. The network helps show where Eduardo Pasiliao may publish in the future.
Co-authorship network of co-authors of Eduardo Pasiliao
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Pasiliao. A scholar is included among the top collaborators of Eduardo Pasiliao 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 Eduardo Pasiliao. Eduardo Pasiliao 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 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 134 | |
| 9 | 17 | |
| 10 | 23 | |
| 11 | 44 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 31 | |
| 20 | 2 |
About Eduardo Pasiliao
Eduardo Pasiliao is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Developmental Biology, having authored 32 papers that have together received 600 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (11 papers), Complex Network Analysis Techniques (6 papers) and Neural Networks Stability and Synchronization (6 papers). The work is most often cited by research in Computer Networks and Communications (176 citations), Numerical Analysis (40 citations) and Artificial Intelligence (237 citations). Eduardo Pasiliao has collaborated with scholars based in United States. Frequent co-authors include Tathagata Mukherjee, Debashri Roy, Mainak Chatterjee, Tansel Yucelen, Yuyuan Ouyang, Yunmei Chen, Guanghui Lan, Erik Blasch, Zhen Kan and Vladimir Boginski. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and European Journal of Operational Research.
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.