Manoj Plakal

6.1k total citations · 3 hit papers
7 papers, 3.5k citations indexed

About

Manoj Plakal is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition. According to data from OpenAlex, Manoj Plakal has authored 7 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 3 papers in Music and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Manoj Plakal's work include Music and Audio Processing (6 papers), Speech and Audio Processing (4 papers) and Diverse Musicological Studies (3 papers). Manoj Plakal is often cited by papers focused on Music and Audio Processing (6 papers), Speech and Audio Processing (4 papers) and Diverse Musicological Studies (3 papers). Manoj Plakal collaborates with scholars based in United States and Spain. Manoj Plakal's co-authors include Daniel P. W. Ellis, Aren Jansen, Robert C. Moore, Jort F. Gemmeke, Marvin Ritter, Shawn Hershey, Rif A. Saurous, Sourish Chaudhuri, Kevin Wilson and Bryan Seybold and has published in prestigious journals such as IEEE Signal Processing Letters and RECERCAT (Consorci de Serveis Universitaris de Catalunya).

In The Last Decade

Manoj Plakal

7 papers receiving 3.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Audio Set: An ontology and human-labeled dataset for audio events

2017 1.7k citations Jort F. Gemmeke, Daniel P. W. Ellis et al. profile →
CNN architectures for large-scale audio classification

2017 1.4k citations Shawn Hershey, Sourish Chaudhuri et al. profile →
Dapper, a Large-Scale Distributed Systems Tracing Infrastructure

2010 324 citations Luiz André Barroso, Mike Burrows et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Manoj Plakal United States	6	2.3k	1.4k	1.0k	355	277	7	3.5k
Ron J. Weiss United States	31	3.8k 1.7×	1.2k 0.9×	3.9k 3.8×	167 0.5×	306 1.1×	53	6.2k
Colin Raffel United States	18	1.6k 0.7×	1.2k 0.9×	2.1k 2.0×	76 0.2×	311 1.1×	41	3.9k
Dawen Liang United States	11	1.5k 0.7×	965 0.7×	1.4k 1.4×	109 0.3×	275 1.0×	27	3.3k
Brian McFee United States	23	2.3k 1.0×	1.6k 1.1×	987 1.0×	34 0.1×	387 1.4×	57	3.3k
Aren Jansen United States	24	3.2k 1.4×	1.5k 1.1×	2.2k 2.1×	50 0.1×	305 1.1×	68	4.6k
Jort F. Gemmeke Belgium	20	3.4k 1.5×	1.5k 1.1×	1.7k 1.7×	47 0.1×	349 1.3×	85	4.5k
Ian McLoughlin Singapore	23	1.5k 0.6×	453 0.3×	1.1k 1.1×	166 0.5×	241 0.9×	228	2.7k
Xavier Serra Spain	32	3.5k 1.5×	2.5k 1.8×	813 0.8×	58 0.2×	946 3.4×	235	4.2k
Rif A. Saurous United States	12	2.2k 1.0×	901 0.7×	2.0k 2.0×	38 0.1×	166 0.6×	16	3.5k
Florian Metze United States	32	1.8k 0.8×	1.1k 0.8×	2.6k 2.5×	50 0.1×	151 0.5×	195	4.0k

Countries citing papers authored by Manoj Plakal

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Fonseca, Eduardo, Shawn Hershey, Manoj Plakal, et al.. (2020). Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Processing Letters. 27. 1235–1239. 10 indexed citations

2.

Jansen, Aren, Manoj Plakal, Daniel P. W. Ellis, et al.. (2018). Unsupervised Learning of Semantic Audio Representations. 126–130. 58 indexed citations

3.

Fonseca, Eduardo, Manoj Plakal, Frederic Font, et al.. (2018). General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 10 indexed citations

4.

Hershey, Shawn, Sourish Chaudhuri, Daniel P. W. Ellis, et al.. (2017). CNN architectures for large-scale audio classification. 131–135. 1432 indexed citations breakdown →

5.

Gemmeke, Jort F., Daniel P. W. Ellis, Aren Jansen, et al.. (2017). Audio Set: An ontology and human-labeled dataset for audio events. 776–780. 1668 indexed citations breakdown →

6.

Jansen, Aren, Manoj Plakal, Dan Ellis, et al.. (2017). Towards Learning Semantic Audio Representations from Unlabeled Data. 5 indexed citations

7.

Barroso, Luiz André, et al.. (2010). Dapper, a Large-Scale Distributed Systems Tracing Infrastructure. 324 indexed citations breakdown →

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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