T. Dias Do Vale

22.3k total citations
4 papers, 32 citations indexed

About

T. Dias Do Vale is a scholar working on Computer Networks and Communications, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, T. Dias Do Vale has authored 4 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Artificial Intelligence and 2 papers in Nuclear and High Energy Physics. Recurrent topics in T. Dias Do Vale's work include Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers) and Distributed and Parallel Computing Systems (1 paper). T. Dias Do Vale is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers) and Distributed and Parallel Computing Systems (1 paper). T. Dias Do Vale collaborates with scholars based in Switzerland, Italy and Canada. T. Dias Do Vale's co-authors include N. F. Castro, R. Pedro, W. Fedorko, Roger G. Melko, M. Swiatlowski, Valentin Kuznetsov, L. Rinaldi, D. Bonacorsi, T. Diotalevi and F. Legger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. D and The European Physical Journal C.

In The Last Decade

T. Dias Do Vale

4 papers receiving 32 citations

Peers

T. Dias Do Vale
G. Strong Italy
Michael Benjamin Andrews United States
E. Usai United States
F. Gaede Switzerland
G. Cerminara United States
J. Donini France
M. Dunford Germany
H. Bakhshiansohi Switzerland
Trong Hieu Tran Vietnam
B. Scurlock United States
G. Strong Italy
T. Dias Do Vale
Citations per year, relative to T. Dias Do Vale T. Dias Do Vale (= 1×) peers G. Strong

Countries citing papers authored by T. Dias Do Vale

Since Specialization
Citations

This map shows the geographic impact of T. Dias Do Vale'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 T. Dias Do Vale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dias Do Vale more than expected).

Fields of papers citing papers by T. Dias Do Vale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Dias Do Vale. 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 T. Dias Do Vale. The network helps show where T. Dias Do Vale may publish in the future.

Co-authorship network of co-authors of T. Dias Do Vale

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

All Works

4 of 4 papers shown
1.
Vale, T. Dias Do, et al.. (2024). CaloQVAE: Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models. The European Physical Journal C. 84(12). 1244–1244. 5 indexed citations
2.
Vale, T. Dias Do, F. Legger, J. Schovancova, et al.. (2020). Operational Intelligence for Distributed Computing Systems for Exascale Science. SHILAP Revista de lepidopterología. 245. 3017–3017. 3 indexed citations
3.
Castro, N. F., et al.. (2020). Transferability of deep learning models in searches for new physics at colliders. Physical review. D. 101(3). 22 indexed citations
4.
Vale, T. Dias Do, et al.. (2016). Cern-It Evaluation Of Microsoft Azure Cloud Iaas. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

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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2026