Manoj Plakal
- Signal Processing top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Daniel P. W. EllisAren JansenRobert C. MooreJort F. GemmekeMarvin RitterShawn HersheyRif A. SaurousBryan Seybold
- Topics
- Music and Audio Processing (6 papers)Speech and Audio Processing (4 papers)Diverse Musicological Studies (3 papers)
- Journals
- IEEE Signal Processing LettersRECERCAT (Consorci de Serveis Universitaris de Catalunya)
- Partner nations
- United StatesSpain
In The Last Decade
Manoj Plakal
7 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Signal Processing 2.3k
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.0k
- Computer Networks and Communications 355
- Cognitive Neuroscience 277
Countries citing papers authored by Manoj Plakal
This map shows the geographic impact of Manoj Plakal'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 Manoj Plakal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Plakal more than expected).
Fields of papers citing papers by Manoj Plakal
This network shows the impact of papers produced by Manoj Plakal. 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 Manoj Plakal. The network helps show where Manoj Plakal may publish in the future.
Co-authorship network of co-authors of Manoj Plakal
This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Plakal. A scholar is included among the top collaborators of Manoj Plakal 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 Manoj Plakal. Manoj Plakal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline | 10 |
| 3 | 58 | |
| 4 | Audio Set: An ontology and human-labeled dataset for audio eventsbreakdown → | 1668 |
| 5 | CNN architectures for large-scale audio classificationbreakdown → | 1432 |
| 6 | Towards Learning Semantic Audio Representations from Unlabeled Data | 5 |
| 7 | Dapper, a Large-Scale Distributed Systems Tracing Infrastructurebreakdown → | 324 |
About Manoj Plakal
Manoj Plakal is a scholar working on Music, Signal Processing and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 3.5k indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Speech and Audio Processing (4 papers) and Diverse Musicological Studies (3 papers). The work is most often cited by research in Signal Processing (2.3k citations), Developmental Biology (184 citations) and Computer Vision and Pattern Recognition (1.4k citations). Manoj Plakal has collaborated with scholars based in United States and Spain. Frequent co-authors include Daniel P. W. Ellis, Aren Jansen, Robert C. Moore, Jort F. Gemmeke, Marvin Ritter, Shawn Hershey, Rif A. Saurous, Bryan Seybold, Malcolm Slaney and Kevin Wilson. Their work appears in journals such as IEEE Signal Processing Letters and RECERCAT (Consorci de Serveis Universitaris de Catalunya).
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.