David Gunawan

457 total citations
34 papers, 175 citations indexed

About

David Gunawan is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, David Gunawan has authored 34 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 9 papers in Economics and Econometrics. Recurrent topics in David Gunawan's work include Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (6 papers). David Gunawan is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (6 papers). David Gunawan collaborates with scholars based in Australia, Germany and Singapore. David Gunawan's co-authors include D. Sen, Robert Kohn, Minh‐Ngoc Tran, David J. Nott, Paul H. Taylor, Jialun Chen, Duangkamon Chotikapanich, Ian Milne, William E. Griffiths and Wenhua Zhao and has published in prestigious journals such as Psychological Review, The Journal of the Acoustical Society of America and Journal of Econometrics.

In The Last Decade

David Gunawan

27 papers receiving 169 citations

Peers

David Gunawan
Comparison fields: 5 of 61
  • Signal Processing 70
  • Artificial Intelligence 45
  • Statistics and Probability 33
  • Computational Mechanics 31
  • Finance 22
Replace Sally Wood with:
Sally Wood Australia
John Pemberton United Kingdom
Riccardo Gatto Switzerland
Michalis K. Titsias United Kingdom
Dominique Fourdrinier France
Alain Célisse France
Clare A. McGrory Australia
F. Posner United States
Xiaoqian Sun United States
Y. Fujikoshi Japan
Sally Wood Australia View profile →
Citations per field, relative to David Gunawan
David Gunawan · 1×
Citations per year, relative to David Gunawan
David Gunawan · 1×

Countries citing papers authored by David Gunawan

Since Specialization
Citations

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

Fields of papers citing papers by David Gunawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gunawan

This figure shows the co-authorship network connecting the top 25 collaborators of David Gunawan. A scholar is included among the top collaborators of David Gunawan 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 David Gunawan. David Gunawan 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 1
7 3
8 11
9 7
10 0
11 1
12 2
13 7
14 3
15 1
16
Flexible Particle Markov chain Monte Carlo methods with an application to a factor stochastic volatility model
0
17
Separation of Harmonic Musical Instrument Notes Using Spectro-Temporal Modeling of Harmonic Magnitudes and Spectrogram Inversion with Phase Optimization
4
18 4
19 11
20
Identification of Partials in Polyphonic Mixtures Based on Temporal Envelope Similarity
1

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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