Daniel Park

4.7k total citations · 1 hit paper
13 papers, 2.4k citations indexed

About

Daniel Park is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Park has authored 13 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Park's work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Daniel Park is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Daniel Park collaborates with scholars based in United States, United Kingdom and Tanzania. Daniel Park's co-authors include Quoc V. Le, Chung‐Cheng Chiu, William Chan, Barret Zoph, Yu Zhang, Ekin D. Cubuk, Scott C. Linn, Yu Zhang, Yonghui Wu and Wei Han and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Corporate Finance and International Journal of Logistics Research and Applications.

In The Last Decade

Daniel Park

12 papers receiving 2.2k 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.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

2019 2.1k citations Daniel Park, William Chan et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Park United States	7	1.8k	1.5k	249	135	95	13	2.4k
Anmol Gulati United States	9	1.6k 0.9×	1.1k 0.8×	272 1.1×	96 0.7×	8 0.1×	16	2.1k
Arnab Ghoshal United States	20	2.2k 1.2×	1.7k 1.1×	348 1.4×	311 2.3×	4 0.0×	54	2.9k
Ismail Shahin United Arab Emirates	20	1.1k 0.6×	748 0.5×	246 1.0×	302 2.2×	4 0.0×	78	1.8k
Θεόδωρος Γιαννακόπουλος Greece	14	383 0.2×	502 0.3×	321 1.3×	272 2.0×	5 0.1×	65	1.0k
Guillaume Gravier France	19	1.3k 0.7×	1.3k 0.9×	515 2.1×	141 1.0×	2 0.0×	75	1.9k
Brian Mak Hong Kong	19	1.1k 0.6×	1.0k 0.7×	261 1.0×	140 1.0×	4 0.0×	115	1.6k
Niki Parmar United States	5	1.3k 0.7×	904 0.6×	271 1.1×	92 0.7×	2 0.0×	6	1.9k
Takao Kobayashi Japan	33	4.1k 2.3×	3.5k 2.4×	590 2.4×	664 4.9×	4 0.0×	216	4.9k
Bryan Pardo United States	25	405 0.2×	1.5k 1.0×	943 3.8×	78 0.6×	18 0.2×	127	1.9k

Countries citing papers authored by Daniel Park

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Park

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Park. A scholar is included among the top collaborators of Daniel Park 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 Daniel Park. Daniel Park 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:

13 of 13 papers shown

1.

Park, Daniel, Xingyou Song, Mitchell McIntire, et al.. (2023). Discovering Adaptable Symbolic Algorithms from Scratch. 3889–3896. 2 indexed citations

2.

Smith, Joshua, Brian D. Williamson, David Cronkite, et al.. (2023). Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. Journal of the American Medical Informatics Association. 31(3). 574–582. 4 indexed citations

3.

Allauzen, Cyril, Yinghui Huang, Daniel Park, et al.. (2023). Large-Scale Language Model Rescoring on Long-Form Data. 1–5. 9 indexed citations

4.

Park, Daniel, et al.. (2023). Multi-User Augmented Reality-Based Aerospace System Design Review Platform. The Journal of Korean Institute of Communications and Information Sciences. 48(12). 1714–1721. 1 indexed citations

5.

Wang, Gary, Ekin D. Cubuk, Andrew Rosenberg, et al.. (2023). G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR. 23–30. 1 indexed citations

6.

Shor, Joel, Aren Jansen, Wei Han, Daniel Park, & Yu Zhang. (2022). Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3169–3173. 21 indexed citations

7.

Park, Daniel, Yu Zhang, Chung‐Cheng Chiu, et al.. (2020). Specaugment on Large Scale Datasets. 6879–6883. 83 indexed citations

8.

Park, Daniel, Yu Zhang, Jia Ye, et al.. (2020). Improved Noisy Student Training for Automatic Speech Recognition. arXiv (Cornell University). 2817–2821. 122 indexed citations

9.

Park, Daniel, Haidar Khan, & Bülent Yener. (2019). Short Paper: Creating Adversarial Malware Examples using Code Insertion.. arXiv (Cornell University). 3 indexed citations

10.

Park, Daniel, Jascha Sohl‐Dickstein, Quoc V. Le, & Samuel Smith. (2019). The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study. arXiv (Cornell University). 5042–5051. 2 indexed citations

11.

Park, Daniel, William Chan, Yu Zhang, et al.. (2019). SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. arXiv (Cornell University). 2613–2617. 2055 indexed citations breakdown →

12.

Sweeney, Edward & Daniel Park. (2010). Dynamic supply chain alignment: a new business model for peak performance in enterprise supply chains across all geographies. International Journal of Logistics Research and Applications. 13(1). 95–96. 11 indexed citations

13.

Linn, Scott C. & Daniel Park. (2005). Outside director compensation policy and the investment opportunity set. Journal of Corporate Finance. 11(4). 680–715. 94 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.

Explore authors with similar magnitude of impact