Konstantina Palla
- Artificial Intelligence
- Information Systems
- Cardiology and Cardiovascular Medicine
- Computer Networks and Communications
- Surgery
- Co-authors
- Zoubin GhahramaniDavid A. KnowlesCheng ZhangSebastian TschiatschekSebastian NowozinChao MaJosé Miguel Hernández-LobatoStephanie L. Hyland
- Topics
- Bayesian Methods and Mixture Models (3 papers)Complex Network Analysis Techniques (2 papers)Machine Learning and Data Classification (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceBritish Journal of AnaesthesiaACM Transactions on Computer-Human Interaction
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
Konstantina Palla
12 papers receiving 76 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 39
- Information Systems 15
- Cardiology and Cardiovascular Medicine 14
- Computer Networks and Communications 12
- Surgery 10
Countries citing papers authored by Konstantina Palla
This map shows the geographic impact of Konstantina Palla'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 Konstantina Palla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantina Palla more than expected).
Fields of papers citing papers by Konstantina Palla
This network shows the impact of papers produced by Konstantina Palla. 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 Konstantina Palla. The network helps show where Konstantina Palla may publish in the future.
Co-authorship network of co-authors of Konstantina Palla
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantina Palla. A scholar is included among the top collaborators of Konstantina Palla 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 Konstantina Palla. Konstantina Palla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | ODIN: Optimal Discovery of High-value INformation Using Model-based Deep Reinforcement Learning | 2 |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | A reversible infinite HMM using normalised random measures | 4 |
| 9 | 12 | |
| 10 | A nonparametric variable clustering model | 13 |
| 11 | A Comparative Analysis of Join Algorithms Using the Hadoop Map/Reduce Framework | 11 |
| 12 | 1 |
About Konstantina Palla
Konstantina Palla is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability, having authored 12 papers that have together received 79 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (3 papers), Complex Network Analysis Techniques (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (39 citations) and Statistics and Probability (8 citations). Konstantina Palla has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Zoubin Ghahramani, David A. Knowles, Cheng Zhang, Sebastian Tschiatschek, Sebastian Nowozin, Chao Ma, José Miguel Hernández-Lobato, Stephanie L. Hyland, Kenji Takeda and Monica S. Vavilala. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, British Journal of Anaesthesia and ACM Transactions on Computer-Human Interaction.
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.