Ioannis Panageas

698 citations
19 papers · 159 indexed · h-index 5

Ioannis Panageas

17 papers receiving 152 citations

Peers

Ioannis Panageas
Comparison fields: 5 of 45
  • Computational Mathematics 4
  • Numerical Analysis 21
  • Management Science and Operations Research 40
  • Computational Mechanics 40
  • Artificial Intelligence 61
Replace Mathias Staudigl with:
Mathias Staudigl Netherlands
Mou-Hsiung Chang United States
Jinniao Qiu Canada
Naci Saldı Türkiye
Harald Oberhauser United Kingdom
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Tzuu-Shuh Chiang Taiwan
Chunrong Feng United Kingdom
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Citations per year

Countries citing papers authored by Ioannis Panageas

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Panageas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Ioannis Panageas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ioannis Panageas Line = papers co-authored together Ioannis Panageas links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20242
2 20232
3 20230
4 20220
5
On the Analysis of EM for truncated mixtures of two Gaussians
20201
6
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always.
20194
7 20194
8 201967
9 20182
10 20174
11 201720
12 201713
13
Gradient Descent Converges to Minimizers: The Case of Non-Isolated Critical Points.
20164
14 201618
15 20163
16 20161
17 20158
18 20153
19 20133

About Ioannis Panageas

Ioannis Panageas is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistical and Nonlinear Physics, having authored 19 papers that have together received 159 indexed citations. Recurring topics across this work include Game Theory and Applications (5 papers), Evolution and Genetic Dynamics (4 papers), Evolutionary Game Theory and Cooperation (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Bandit Algorithms Research (3 papers), Muscle and Compartmental Disorders (2 papers), Bayesian Methods and Mixture Models (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Numerical Analysis (21 citations) and Management Science and Operations Research (40 citations). Ioannis Panageas has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Georgios Piliouras, Jason D. Lee, Max Simchowitz, Michael I. Jordan, Benjamin Recht, Ruta Mehta, Nisheeth K. Vishnoi, Tung Mai, Vijay V. Vazirani and Constantinos Daskalakis. Their work appears in journals such as Mathematical Programming, CaltechAUTHORS (California Institute of Technology) and arXiv (Cornell University).

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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