Diamantino Caseiro

61 total papers · 860 total citations
48 papers, 499 citations indexed

About

Diamantino Caseiro is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diamantino Caseiro has authored 48 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 7 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diamantino Caseiro's work include Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (25 papers) and Speech and dialogue systems (19 papers). Diamantino Caseiro is often cited by papers focused on Speech Recognition and Synthesis (28 papers), Natural Language Processing Techniques (25 papers) and Speech and dialogue systems (19 papers). Diamantino Caseiro collaborates with scholars based in Portugal, United States and Spain. Diamantino Caseiro's co-authors include Isabel Trancoso, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar, Fernando Batista, João P. Neto, Hugo Meinedo, Nuno Mamede, Sadaoki Furui and Paul R. Dixon and has published in prestigious journals such as SHILAP Revista de lepidopterología, BioMed Research International and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Diamantino Caseiro

42 papers receiving 432 citations

Author Peers

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

Author						Papers	Cites
Diamantino Caseiro	375	135	85	41	40	48	499
Amparo Varona	430 1.1×	286 2.1×	20 0.2×	23 0.6×	5 0.1×	78	520
Li Deng	270 0.7×	175 1.3×	78 0.9×	67 1.6×		39	539
Robert E. Mercer	351 0.9×	29 0.2×	52 0.6×	57 1.4×	4 0.1×	77	487
Jangwon Kim	320 0.9×	250 1.9×	19 0.2×	33 0.8×	2 0.1×	47	582
Jiaxin Wu	120 0.3×	135 1.0×	15 0.2×	246 6.0×	5 0.1×	38	496
Evelyne Tzoukermann	457 1.2×	44 0.3×	41 0.5×	32 0.8×		41	509
Jorge Civera	518 1.4×	56 0.4×	50 0.6×	95 2.3×	1 0.0×	48	611
David Martins de Matos	322 0.9×	78 0.6×	24 0.3×	90 2.2×	1 0.0×	57	448
Scott Stevens	133 0.4×	139 1.0×	8 0.1×	329 8.0×	12 0.3×	42	596
Wu Guo	286 0.8×	293 2.2×	34 0.4×	48 1.2×	2 0.1×	80	523

Countries citing papers authored by Diamantino Caseiro

Since Specialization

Citations

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

Fields of papers citing papers by Diamantino Caseiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diamantino Caseiro

This figure shows the co-authorship network connecting the top 25 collaborators of Diamantino Caseiro. A scholar is included among the top collaborators of Diamantino Caseiro 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 Diamantino Caseiro. Diamantino Caseiro 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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