Bernardo Toninho

52 total papers · 1.0k total citations
22 papers, 231 citations indexed

About

Bernardo Toninho is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Bernardo Toninho has authored 22 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Bernardo Toninho's work include Logic, programming, and type systems (16 papers), Formal Methods in Verification (13 papers) and Logic, Reasoning, and Knowledge (10 papers). Bernardo Toninho is often cited by papers focused on Logic, programming, and type systems (16 papers), Formal Methods in Verification (13 papers) and Logic, Reasoning, and Knowledge (10 papers). Bernardo Toninho collaborates with scholars based in Portugal, United States and United Kingdom. Bernardo Toninho's co-authors include Luı́s Caires, Frank Pfenning, Nobuko Yoshida, Julien Lange, Nicholas Ng, Jorge A. Pérez, Raymond Hu, Robert Griesemer, Philip Wadler and Carla Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Bernardo Toninho

20 papers receiving 225 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bernardo Toninho	209	140	90	52	30	22	231
Robert Atkey	262 1.3×	135 1.0×	50 0.6×	46 0.9×	38 1.3×	24	275
Elena Giachino	188 0.9×	112 0.8×	79 0.9×	29 0.6×	53 1.8×	19	225
Alceste Scalas	151 0.7×	101 0.7×	73 0.8×	49 0.9×	18 0.6×	26	178
Pedro López-García	191 0.9×	121 0.9×	50 0.6×	62 1.2×	34 1.1×	37	236
Nai-Wei Lin	132 0.6×	91 0.7×	43 0.5×	66 1.3×	33 1.1×	16	211
Francisco Bueno	237 1.1×	153 1.1×	73 0.8×	71 1.4×	37 1.2×	17	285
Rumyana Neykova	157 0.8×	106 0.8×	77 0.9×	28 0.5×	60 2.0×	22	219
Geoffrey Burn	178 0.9×	124 0.9×	41 0.5×	68 1.3×	23 0.8×	16	214
Igor Konnov	88 0.4×	144 1.0×	106 1.2×	26 0.5×	24 0.8×	31	193
Nils Gesbert	214 1.0×	130 0.9×	84 0.9×	22 0.4×	63 2.1×	13	258

Countries citing papers authored by Bernardo Toninho

Since Specialization

Citations

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

Fields of papers citing papers by Bernardo Toninho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernardo Toninho

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

All Works

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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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