Michael D. Grigoriadis
- Computational Theory and Mathematics top 1%
- Computer Networks and Communications top 5%
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Numerical Analysis top 5%
- Co-authors
- Robert E. TarjanGiorgio GalloLeonid G. KhachiyanDonald GoldfarbWilliam WhiteAndrew V. GoldbergKlaus RitterLeonid Khachiyan
- Topics
- Advanced Optimization Algorithms Research (9 papers)Optimization and Search Problems (8 papers)Optimization and Packing Problems (7 papers)
- Cited by
- Computational Theory and MathematicsComputer Graphics and Computer-Aided DesignIndustrial and Manufacturing Engineering
- Partner nations
- United StatesItaly
In The Last Decade
Michael D. Grigoriadis
26 papers receiving 729 citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 410
- Computer Networks and Communications 295
- Industrial and Manufacturing Engineering 207
- Artificial Intelligence 144
- Numerical Analysis 89
Countries citing papers authored by Michael D. Grigoriadis
This map shows the geographic impact of Michael D. Grigoriadis'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 D. Grigoriadis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Grigoriadis more than expected).
Fields of papers citing papers by Michael D. Grigoriadis
This network shows the impact of papers produced by Michael D. Grigoriadis. 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 D. Grigoriadis. The network helps show where Michael D. Grigoriadis may publish in the future.
Co-authorship network of co-authors of Michael D. Grigoriadis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Grigoriadis. A scholar is included among the top collaborators of Michael D. Grigoriadis 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 Michael D. Grigoriadis. Michael D. Grigoriadis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 58 | |
| 5 | 24 | |
| 6 | 26 | |
| 7 | 62 | |
| 8 | 354 | |
| 9 | 4 | |
| 10 | 57 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 17 |
About Michael D. Grigoriadis
Michael D. Grigoriadis is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 831 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Optimization and Search Problems (8 papers) and Optimization and Packing Problems (7 papers). The work is most often cited by research in Computational Theory and Mathematics (410 citations), Computer Graphics and Computer-Aided Design (83 citations) and Industrial and Manufacturing Engineering (207 citations). Michael D. Grigoriadis has collaborated with scholars based in United States and Italy. Frequent co-authors include Robert E. Tarjan, Giorgio Gallo, Leonid G. Khachiyan, Donald Goldfarb, William White, Andrew V. Goldberg, Klaus Ritter, Leonid Khachiyan, Lorant Porkolab and Jorge Villavicencio. Their work appears in journals such as Management Science, Journal of the ACM and Mathematical Programming.
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.