Daniel Castro Silva
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
- Transportation top 10%
- Transportation Planning and Optimization
Papers in
-
- Service-Oriented Architecture and Web Services 4
- Cloud Computing and Resource Management 3
- Co-authors
- Pedro Henriques Abreu (15 shared papers)Luís Paulo Reis (16 shared papers)Miguel Henriques Abreu (1 shared paper)Eugénio Oliveira (13 shared papers)Miriam Seoane Santos (1 shared paper)Penousal Machado (1 shared paper)Júlio Garganta (3 shared papers)João Mendes‐Moreira (3 shared papers)
In The Last Decade
Daniel Castro Silva
43 papers receiving 338 citations
Peers
Comparison fields: 5 of 93
- Health Information Management 23
- Transportation 28
- Artificial Intelligence 111
- Computer Science Applications 18
- Information Systems 55
Countries citing papers authored by Daniel Castro Silva
This map shows the geographic impact of Daniel Castro Silva'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 Daniel Castro Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Castro Silva more than expected).
Fields of papers citing papers by Daniel Castro Silva
This network shows the impact of papers produced by Daniel Castro Silva. 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 Daniel Castro Silva. The network helps show where Daniel Castro Silva may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Castro Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2014 | 37 | |
| 3 | 2013 | 21 | |
| 4 | 2021 | 16 | |
| 5 | 2014 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2011 | 12 | |
| 9 | 2008 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 2018 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2021 | 5 |
About Daniel Castro Silva
Daniel Castro Silva is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, having authored 44 papers that have together received 354 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (5 papers), Service-Oriented Architecture and Web Services (4 papers), Sports Analytics and Performance (4 papers), Transportation Planning and Optimization (3 papers), Cloud Computing and Resource Management (3 papers), Multi-Agent Systems and Negotiation (3 papers), Traffic control and management (3 papers) and Air Traffic Management and Optimization (3 papers). The work is most often cited by research in Health Information Management (23 citations), Transportation (28 citations), Artificial Intelligence (111 citations), Computer Science Applications (18 citations) and Information Systems (55 citations). Daniel Castro Silva has collaborated with scholars based in Portugal, Brazil and Japan. Frequent co-authors include Pedro Henriques Abreu, Luís Paulo Reis, Miguel Henriques Abreu, Eugénio Oliveira, Miriam Seoane Santos, Penousal Machado, Júlio Garganta, João Mendes‐Moreira, João Jacob and Anabela Gomes. Their work appears in journals such as Information Sciences, Journal of Medical Systems, Journal of Computational Science, Engineering Applications of Artificial Intelligence and Applied Soft Computing.
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.