Michael Ikeda
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
Papers in
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- Complex Network Analysis Techniques 2
- Advanced Thermodynamics and Statistical Mechanics 1
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- Lattice Boltzmann Simulation Studies 3
- Heat and Mass Transfer in Porous Media 2
- Co-authors
- David Strauss (2 shared papers)Laura Schaefer (3 shared papers)Hubert Stein (1 shared paper)Gerhard Wimmer‐Greinecker (1 shared paper)Romuald Cichoń (1 shared paper)Volkmar Falk (1 shared paper)
- Journals
- Journal of the American Statistical Association (2 papers)Fluid Phase Equilibria (1 paper)The Heart Surgery Forum (1 paper)Computers & Fluids (1 paper)D-Scholarship@Pitt (University of Pittsburgh) (2 papers)
- Partner nations
- United States
In The Last Decade
Michael Ikeda
9 papers receiving 339 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 201
- Statistics and Probability 49
- Experimental and Cognitive Psychology 32
- Communication 16
- Management Science and Operations Research 27
Countries citing papers authored by Michael Ikeda
This map shows the geographic impact of Michael Ikeda'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 Michael Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ikeda more than expected).
Fields of papers citing papers by Michael Ikeda
This network shows the impact of papers produced by Michael Ikeda. 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 Michael Ikeda. The network helps show where Michael Ikeda may publish in the future.
Co-authors
The 6 scholars most cited alongside Michael Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 280 | |
| 2 | 1990 | 47 | |
| 3 | 2014 | 21 | |
| 4 | 2011 | 8 | |
| 5 | 2005 | 7 | |
| 6 | The anthropic principle does not support supernaturalism | 2006 | 3 |
| 7 | A Novel Multiple-Phase, Multiple-Component, Thermal Lattice Boltzmann Model | 2012 | 2 |
| 8 | 2012 | 1 | |
| 9 | Numerical Simulation of Vapor-Liquid Equilibria of a Water-Ethanol Mixture | 2011 | 1 |
| 10 | Initial Results from a Nationwide BigMatch Matching of 2000 Census Data | 2007 | 0 |
About Michael Ikeda
Michael Ikeda is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Statistics and Probability, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (3 papers), Advanced Clustering Algorithms Research (2 papers), Phase Equilibria and Thermodynamics (2 papers), Complex Network Analysis Techniques (2 papers), Aerosol Filtration and Electrostatic Precipitation (2 papers), Heat and Mass Transfer in Porous Media (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Census and Population Estimation (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (201 citations), Statistics and Probability (49 citations), Experimental and Cognitive Psychology (32 citations), Communication (16 citations) and Management Science and Operations Research (27 citations). Michael Ikeda has collaborated with scholars based in United States. Frequent co-authors include David Strauss, Laura Schaefer, Hubert Stein, Gerhard Wimmer‐Greinecker, Romuald Cichoń and Volkmar Falk. Their work appears in journals such as Journal of the American Statistical Association, Fluid Phase Equilibria, The Heart Surgery Forum, Computers & Fluids and D-Scholarship@Pitt (University of Pittsburgh).
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.