Ricardo Silva

2.2k citations
28 papers · 569 indexed · h-index 12
Topics
Bayesian Modeling and Causal Inference (6 papers)Explainable Artificial Intelligence (XAI) (3 papers)Entrepreneurship Studies and Influences (3 papers)

In The Last Decade

Ricardo Silva

28 papers receiving 541 citations

Peers

Ricardo Silva
Comparison fields: 5 of 125
  • Artificial Intelligence 140
  • Automotive Engineering 88
  • Transportation 87
  • Building and Construction 62
  • Cognitive Neuroscience 61
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Citations per field
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Citations per year

Countries citing papers authored by Ricardo Silva

Since Specialization
Citations

This map shows the geographic impact of Ricardo 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 Ricardo Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Silva more than expected).

Fields of papers citing papers by Ricardo Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricardo 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 Ricardo Silva. The network helps show where Ricardo Silva may publish in the future.

Co-authorship network of co-authors of Ricardo Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Silva. A scholar is included among the top collaborators of Ricardo Silva 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 Ricardo Silva. Ricardo Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 8
3 16
4 16
5
A Bayesian approach for determining player abilities in football
2
6
Adversarial recovery of agent rewards from latent spaces of the limit order book
1
7
Making Decisions that Reduce Discriminatory Impacts
4
8 4
9 5
10 34
11 10
12 140
13
Learning instrumental variables with structural and non-gaussianity assumptions
7
14
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
53
15
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
2
16
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
3
17 11
18 11
19
Ranking Relations Using Analogies in Biological and Information Networks
3
20
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models
24

About Ricardo Silva

Ricardo Silva is a scholar working on Business and International Management, Statistics and Probability and Developmental Biology, having authored 28 papers that have together received 569 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (6 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Entrepreneurship Studies and Influences (3 papers). The work is most often cited by research in Transportation (87 citations), Health Informatics (11 citations) and Automotive Engineering (88 citations). Ricardo Silva has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Soong Moon Kang, Edoardo M. Airoldi, Mário Franco, Matt J. Kusner, Chris Russell, Joshua R. Loftus, Véronique D. Bohbot, Saber Sami, Hugo J. Spiers and William de Cothi. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

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.

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