George Michailidis
- Computational Mathematics top 2%
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 26
- Finance top 2%
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks 24
- Gene expression and cancer classification 22
- Metabolomics and Mass Spectrometry Studies 21
- Cancer Research top 5%
-
- Network Traffic and Congestion Control 23
-
- Advanced Queuing Theory Analysis 19
-
- Complex Network Analysis Techniques 19
-
- Complex Systems and Time Series Analysis 15
- Co-authors
- Ali ShojaieStilian StoevElizaveta LevinaMichael DevetsikiotisSubramaniam PennathurJan de LeeuwMark V. CulpZi Yang
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
George Michailidis
249 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 200
- Computational Mathematics 62
- Statistics and Probability 650
- Finance 414
- Molecular Biology 2.8k
- Cancer Research 605
Countries citing papers authored by George Michailidis
This map shows the geographic impact of George Michailidis'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 George Michailidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Michailidis more than expected).
Fields of papers citing papers by George Michailidis
This network shows the impact of papers produced by George Michailidis. 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 George Michailidis. The network helps show where George Michailidis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Michailidis, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 25 | |
| 10 | The effects of a personalized recommendation system on students’ high-stakes achievement scores: A field experiment | 2021 | 4 |
| 11 | Change Point Estimation in a Dynamic Stochastic Block Model | 2020 | 13 |
| 12 | 2020 | 13 | |
| 13 | 2020 | 182 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 55 | |
| 16 | 2017 | 185 | |
| 17 | Penalized Principal Component Regression on Graphs for Analysis of Subnetworks | 2010 | 8 |
| 18 | 2006 | 70 | |
| 19 | Estimating internal link loss rates using active network tomography. | 2004 | 3 |
| 20 | Gene expression in ovarian cancer reflects both morphology and biological behavior, distinguishing clear cell from other poor-prognosis ovarian carcinomas. | 2002 | 348 |
About George Michailidis
George Michailidis is a scholar working on Computational Mathematics, Statistics and Probability and Management Information Systems, having authored 257 papers that have together received 7.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Bioinformatics and Genomic Networks (24 papers), Network Traffic and Congestion Control (23 papers), Gene expression and cancer classification (22 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Advanced Queuing Theory Analysis (19 papers), Complex Network Analysis Techniques (19 papers) and Complex Systems and Time Series Analysis (15 papers). The work is most often cited by research in Computational Mathematics (62 citations), Statistics and Probability (650 citations) and Finance (414 citations). George Michailidis has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Ali Shojaie, Stilian Stoev, Elizaveta Levina, Michael Devetsikiotis, Subramaniam Pennathur, Jan de Leeuw, Mark V. Culp, Zi Yang, Ji Zhu and Alla Karnovsky.
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.