Miguel Bugalho

1.0k total citations · 1 hit paper
12 papers, 694 citations indexed

About

Miguel Bugalho is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Miguel Bugalho has authored 12 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Miguel Bugalho's work include Music and Audio Processing (8 papers), Video Analysis and Summarization (6 papers) and Speech and Audio Processing (5 papers). Miguel Bugalho is often cited by papers focused on Music and Audio Processing (8 papers), Video Analysis and Summarization (6 papers) and Speech and Audio Processing (5 papers). Miguel Bugalho collaborates with scholars based in Portugal, Greece and Egypt. Miguel Bugalho's co-authors include João André Carriço, Mário Ramirez, Alexandre P. Francisco, Isabel Trancoso, Hugo Meinedo, Ioannis Kompatsiaris, Vasileios Mezaris, Panagiotis Sidiropoulos, Alberto Abad and Arlindo L. Oliveira and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Miguel Bugalho

11 papers receiving 663 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global optimal eBURST analysis of multilocus typing data using a graphic matroid approach

2009 477 citations Alexandre P. Francisco, Miguel Bugalho et al. BMC Bioinformatics profile →

Peers

Miguel Bugalho

ID

MB

CVPR

SP

EPIDE

Licheng Zhao China

Andrew E. Waters United States

Hiroshi NAGATOMO Japan

Christina Boucher United States

Yefeng Qiu China

Elliott F. Drábek United States

Won‐Il Kim South Korea

Chao Pei China

Wanxiang Li China

Jagdip Singh Sohal India

Licheng Zhao China

Miguel Bugalho

123 ×0.8

ID

215 ×1.6

MB

19 ×0.2

CVPR

51 ×0.4

SP

77 ×0.7

EPIDE

Citations per year, relative to Miguel Bugalho Miguel Bugalho (= 1×) peers Licheng Zhao

Countries citing papers authored by Miguel Bugalho

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Bugalho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Bugalho

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

All Works

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12 of 12 papers shown

1.

Anumanchipalli, Gopala K., Hugo Meinedo, Miguel Bugalho, et al.. (2012). Text-dependent pathological voice detection. 530–533. 7 indexed citations

2.

Sidiropoulos, Panagiotis, Vasileios Mezaris, Ioannis Kompatsiaris, et al.. (2011). Demo. Video scene segmentation system using audio-visual features. Research Repository (Delft University of Technology). 1 indexed citations

3.

Pellegrini, Thomas, et al.. (2011). Browsing videos by automatically detected audio events. 14. 1–4. 2 indexed citations

4.

Sidiropoulos, Panagiotis, Vasileios Mezaris, Ioannis Kompatsiaris, et al.. (2011). Temporal Video Segmentation to Scenes Using High-Level Audiovisual Features. IEEE Transactions on Circuits and Systems for Video Technology. 21(8). 1163–1177. 90 indexed citations

5.

Francisco, Alexandre P., Miguel Bugalho, Mário Ramirez, & João André Carriço. (2009). Global optimal eBURST analysis of multilocus typing data using a graphic matroid approach. BMC Bioinformatics. 10(1). 152–152. 477 indexed citations breakdown →

6.

Bugalho, Miguel, et al.. (2009). Non-speech audio event detection. 1973–1976. 63 indexed citations

7.

Trancoso, Isabel, Thomas Pellegrini, Hugo Meinedo, et al.. (2009). Audio contributions to semantic video search. 630–633. 4 indexed citations

8.

Bugalho, Miguel & Arlindo L. Oliveira. (2009). CONSTANT TIME CLASH DETECTION IN PROTEIN FOLDING. Journal of Bioinformatics and Computational Biology. 7(1). 55–74. 2 indexed citations

9.

Bugalho, Miguel, et al.. (2009). Detecting audio events for semantic video search. 1151–1154. 21 indexed citations

10.

Trancoso, Isabel, et al.. (2008). Training audio events detectors with a sound effects corpus. 2546–2549. 4 indexed citations

11.

Bugalho, Miguel & Arlindo L. Oliveira. (2005). Inference of regular languages using state merging algorithms with search. Pattern Recognition. 38(9). 1457–1467. 21 indexed citations

12.

Bugalho, Miguel, et al.. (2002). IC design automation from circuit level optimization to retargetable layout. 1. 95–98. 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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