Alex Galakatos
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Co-authors
- Andrew CrottyTim KraskaCarsten BinnigEmanuel ZgraggenErfan ZamanianUğur ÇetintemelJean‐Daniel FeketeStan Zdonik
- Topics
- Advanced Data Storage Technologies (6 papers)Cloud Computing and Resource Management (5 papers)Data Visualization and Analytics (4 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsProceedings of the VLDB EndowmentTUbilio (Technical University of Darmstadt)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Alex Galakatos
14 papers receiving 431 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 274
- Information Systems 158
- Computer Vision and Pattern Recognition 153
- Artificial Intelligence 152
- Signal Processing 137
Countries citing papers authored by Alex Galakatos
This map shows the geographic impact of Alex Galakatos'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 Alex Galakatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Galakatos more than expected).
Fields of papers citing papers by Alex Galakatos
This network shows the impact of papers produced by Alex Galakatos. 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 Alex Galakatos. The network helps show where Alex Galakatos may publish in the future.
Co-authorship network of co-authors of Alex Galakatos
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Galakatos. A scholar is included among the top collaborators of Alex Galakatos 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 Alex Galakatos. Alex Galakatos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 23 | |
| 9 | 67 | |
| 10 | 103 | |
| 11 | 62 | |
| 12 | 57 | |
| 13 | Tupleware: "Big" Data, Big Analytics, Small Clusters | 30 |
| 14 | Tupleware: Distributed Machine Learning on Small Clusters. | 12 |
About Alex Galakatos
Alex Galakatos is a scholar working on Signal Processing, Information Systems and Management and Computer Networks and Communications, having authored 14 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Cloud Computing and Resource Management (5 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Signal Processing (137 citations), Computer Networks and Communications (274 citations) and Hardware and Architecture (61 citations). Alex Galakatos has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Andrew Crotty, Tim Kraska, Carsten Binnig, Emanuel Zgraggen, Erfan Zamanian, Uğur Çetintemel, Jean‐Daniel Fekete, Stan Zdonik, Stanley B. Zdonik and Prasetya Ajie Utama. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the VLDB Endowment and TUbilio (Technical University of Darmstadt).
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.