Il Memming Park

3.8k total citations
78 papers, 2.1k citations indexed

About

Il Memming Park is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Il Memming Park has authored 78 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 21 papers in Artificial Intelligence and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Il Memming Park's work include Neural dynamics and brain function (33 papers), Blind Source Separation Techniques (12 papers) and Neural Networks and Applications (12 papers). Il Memming Park is often cited by papers focused on Neural dynamics and brain function (33 papers), Blind Source Separation Techniques (12 papers) and Neural Networks and Applications (12 papers). Il Memming Park collaborates with scholars based in United States, South Korea and Japan. Il Memming Park's co-authors include José C. Prı́ncipe, Jonathan W. Pillow, Weifeng Liu, T. N. Vijaykumar, Sohan Seth, Alexander C. Huk, J.C. Principe, António R. C. Paiva, Joseph T. Francis and Miriam L. R. Meister and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and PLoS ONE.

In The Last Decade

Il Memming Park

73 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Il Memming Park United States 23 658 475 421 362 314 78 2.1k
Tinoosh Mohsenin United States 26 494 0.8× 652 1.4× 1.5k 3.5× 408 1.1× 247 0.8× 146 2.9k
Majid Ahmadi Canada 22 168 0.3× 628 1.3× 1.3k 3.0× 370 1.0× 204 0.6× 282 2.2k
B.W. Jervis United Kingdom 16 502 0.8× 193 0.4× 378 0.9× 336 0.9× 118 0.4× 67 1.5k
Zhi Yang China 20 719 1.1× 217 0.5× 538 1.3× 242 0.7× 69 0.2× 90 1.8k
Koushik Maharatna United Kingdom 28 714 1.1× 260 0.5× 705 1.7× 694 1.9× 58 0.2× 115 2.6k
Nicolas Pinto United States 13 522 0.8× 449 0.9× 170 0.4× 170 0.5× 78 0.2× 18 1.9k
Philip H. W. Leong Australia 35 319 0.5× 1.1k 2.4× 1.7k 4.1× 296 0.8× 89 0.3× 227 4.0k
C. Diorio United States 23 297 0.5× 368 0.8× 1.3k 3.2× 150 0.4× 75 0.2× 63 1.9k
Teresa H. Meng United States 27 647 1.0× 126 0.3× 1.3k 3.0× 193 0.5× 45 0.1× 70 2.9k
César F. Caiafa Argentina 19 381 0.6× 222 0.5× 169 0.4× 502 1.4× 570 1.8× 68 2.1k

Countries citing papers authored by Il Memming Park

Since Specialization
Citations

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

Fields of papers citing papers by Il Memming Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Il Memming Park

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

All Works

20 of 20 papers shown
1.
2.
Song, Choungki, Il Kon Kim, Chunseok Jeong, et al.. (2020). Newton: A DRAM-maker’s Accelerator-in-Memory (AiM) Architecture for Machine Learning. 372–385. 114 indexed citations
3.
Zhao, Yuan, et al.. (2020). Rescuing neural spike train models from bad MLE. Neural Information Processing Systems. 33. 2293–2303. 1 indexed citations
4.
Graham, Dustin M., et al.. (2020). Layer- and Cell Type-Specific Response Properties of Gustatory Cortex Neurons in Awake Mice. Journal of Neuroscience. 40(50). 9676–9691. 13 indexed citations
5.
Zhao, Yuan, et al.. (2020). Stimulus-choice (mis)alignment in primate area MT. PLoS Computational Biology. 16(5). e1007614–e1007614. 17 indexed citations
6.
Park, Il Memming, et al.. (2019). Myopic control of neural dynamics. PLoS Computational Biology. 15(3). e1006854–e1006854. 2 indexed citations
7.
Park, Il Memming, et al.. (2017). Variational Joint Filtering. arXiv (Cornell University). 4 indexed citations
8.
Zhao, Yuan & Il Memming Park. (2016). Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. Neural Information Processing Systems. 29. 3333–3341. 3 indexed citations
9.
Wu, Anqi, Il Memming Park, & Jonathan W. Pillow. (2015). Convolutional spike-triggered covariance analysis for neural subunit models. Neural Information Processing Systems. 28. 793–801. 8 indexed citations
10.
Archer, Evan, Il Memming Park, & Jonathan W. Pillow. (2014). Bayesian entropy estimation for countable discrete distributions. Journal of Machine Learning Research. 15(1). 2833–2868. 39 indexed citations
11.
Park, Il Memming, Evan Archer, Kenneth W. Latimer, & Jonathan W. Pillow. (2013). Universal models for binary spike patterns using centered Dirichlet processes. Neural Information Processing Systems. 26. 2463–2471. 4 indexed citations
12.
Park, Il Memming, Evan Archer, Nicholas J. Priebe, & Jonathan W. Pillow. (2013). Spectral methods for neural characterization using generalized quadratic models. Neural Information Processing Systems. 26. 2454–2462. 32 indexed citations
13.
Archer, Evan, Il Memming Park, & Jonathan W. Pillow. (2013). Bayesian entropy estimation for binary spike train data using parametric prior knowledge. Neural Information Processing Systems. 26. 1700–1708. 15 indexed citations
14.
Archer, Evan, Il Memming Park, & Jonathan W. Pillow. (2012). Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. Neural Information Processing Systems. 25. 2015–2023. 10 indexed citations
15.
Park, Il Memming & Jonathan W. Pillow. (2011). Bayesian Spike-Triggered Covariance Analysis. Neural Information Processing Systems. 24. 1692–1700. 26 indexed citations
16.
Park, Il Memming, Sohan Seth, Murali Rao, & José C. Prı́ncipe. (2011). Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. International Conference on Acoustics, Speech, and Signal Processing. 2 indexed citations
17.
Seth, Sohan, Il Memming Park, Austin J. Brockmeier, et al.. (2010). A novel family of non-parametric cumulative based divergences for point processes. Neural Information Processing Systems. 23. 2119–2127. 4 indexed citations
18.
Brockmeier, Austin J., Il Memming Park, Babak Mahmoudi, Justin C. Sanchez, & José C. Prı́ncipe. (2010). Spatio-temporal clustering of firing rates for neural state estimation. PubMed. 2. 6023–6026. 1 indexed citations
19.
Park, Il Memming, et al.. (2003). Reducing design complexity of the load/store queue. International Symposium on Microarchitecture. 411–422. 63 indexed citations
20.
Park, Il Memming, Michael D. Powell, & T. N. Vijaykumar. (2002). Reducing register ports for higher speed and lower energy. International Symposium on Microarchitecture. 171–182. 96 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.

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