Patrick Lumban Tobing
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Physiology
- Co-authors
- Tomoki TodaKazuhiro KobayashiYi-Chiao WuTomoki HayashiWen-Chin HuangHirokazu KameokaYu TsaoHsin‐Min Wang
- Topics
- Speech Recognition and Synthesis (32 papers)Speech and Audio Processing (31 papers)Music and Audio Processing (14 papers)
In The Last Decade
Patrick Lumban Tobing
32 papers receiving 204 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 199
- Signal Processing 193
- Computer Vision and Pattern Recognition 35
- Experimental and Cognitive Psychology 13
- Physiology 13
Countries citing papers authored by Patrick Lumban Tobing
This map shows the geographic impact of Patrick Lumban Tobing'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 Patrick Lumban Tobing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Lumban Tobing more than expected).
Fields of papers citing papers by Patrick Lumban Tobing
This network shows the impact of papers produced by Patrick Lumban Tobing. 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 Patrick Lumban Tobing. The network helps show where Patrick Lumban Tobing may publish in the future.
Co-authorship network of co-authors of Patrick Lumban Tobing
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Lumban Tobing. A scholar is included among the top collaborators of Patrick Lumban Tobing 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 Patrick Lumban Tobing. Patrick Lumban Tobing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 11 | |
| 4 | Cross-Lingual Voice Conversion using a Cyclic Variational Auto-encoder and a WaveNet Vocoder | 1 |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 40 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 15 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 4 |
About Patrick Lumban Tobing
Patrick Lumban Tobing is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 216 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (31 papers) and Music and Audio Processing (14 papers). The work is most often cited by research in Signal Processing (193 citations), Artificial Intelligence (199 citations) and Computer Vision and Pattern Recognition (35 citations). Patrick Lumban Tobing has collaborated with scholars based in Japan, Taiwan and Indonesia. Frequent co-authors include Tomoki Toda, Kazuhiro Kobayashi, Yi-Chiao Wu, Tomoki Hayashi, Wen-Chin Huang, Hirokazu Kameoka, Yu Tsao, Hsin‐Min Wang, Satoshi Nakamura and Ravichander Vipperla. Their work appears in journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and APSIPA Transactions on Signal and Information Processing.
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.