Lasse Borgholt

404 citations
7 papers · 228 indexed · 1 hit paper · h-index 5
Topics
Music and Audio Processing (3 papers)Speech Recognition and Synthesis (3 papers)Topic Modeling (3 papers)
Journals
IEEE Journal of Selected Topics in Signal Processingnpj Digital MedicineResearch at the University of Copenhagen (University of Copenhagen)

In The Last Decade

Lasse Borgholt

7 papers receiving 222 citations

Hit Papers

Self-Supervised Speech Representation Learning: A Review2022202620232024202250100150

Peers

Lasse Borgholt
Comparison fields: 5 of 48
  • Artificial Intelligence 173
  • Signal Processing 94
  • Experimental and Cognitive Psychology 21
  • Computer Vision and Pattern Recognition 16
  • Cognitive Neuroscience 11
Replace Jakob D. Havtorn with:
Jakob D. Havtorn Denmark
Joel Pinto Switzerland
Patrick von Platen Germany
Arun Babu India
Alexander Gutkin United States
Bajibabu Bollepalli Finland
Guido Aversano France
Ondřej Klejch United Kingdom
Yifan Peng United States
Lasse Borgholt relative to Jakob D. Havtorn Denmark Jakob D. Havtorn's profile →
Citations per field
00.5×1.5×
Jakob D. Havtorn · 1×
Citations per year

Countries citing papers authored by Lasse Borgholt

Since Specialization
Citations

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

Fields of papers citing papers by Lasse Borgholt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Borgholt

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 7
3 15
4
Self-Supervised Speech Representation Learning: A Reviewbreakdown →
194
5 2
6 4
7 5

About Lasse Borgholt

Lasse Borgholt is a scholar working on Signal Processing, Artificial Intelligence and Neurology, having authored 7 papers that have together received 228 indexed citations. Recurring topics across this work include Music and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Signal Processing (94 citations), Artificial Intelligence (173 citations) and Health Informatics (4 citations). Lasse Borgholt has collaborated with scholars based in Denmark, United States and Ireland. Frequent co-authors include Jakob D. Havtorn, Lars Maaløe, Christian Igel, Hung-yi Lee, Katrin Kirchhoff, Tara N. Sainath, Shinji Watanabe, Shang-Wen Li, Karen Livescu and Abdelrahman Mohamed. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, npj Digital Medicine and Research at the University of Copenhagen (University of Copenhagen).

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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