T. Dias Do Vale

About

T. Dias Do Vale is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, T. Dias Do Vale has authored 4 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nuclear and High Energy Physics, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in T. Dias Do Vale’s work include High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (3 papers) and Software System Performance and Reliability (1 paper). T. Dias Do Vale is often cited by papers focused on High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (3 papers) and Software System Performance and Reliability (1 paper). T. Dias Do Vale collaborates with scholars based in Portugal, Italy and United States. T. Dias Do Vale's co-authors include R. Pedro, N. F. Castro, José Guilherme Milhano, L. Clissa, T. Diotalevi, S. Padolski, M. Zvada, L. Giommi, L. Rinaldi and Roger G. Melko and has published in prestigious journals such as Physical review. D, The European Physical Journal C and EPJ Web of Conferences.

In The Last Decade

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

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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.

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).

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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