Themis Palpanas
- Artificial Intelligence top 0.2%
- Signal Processing top 0.1%
- Computer Networks and Communications top 1%
- Management Science and Operations Research top 0.5%
- Information Systems top 0.5%
- Co-authors
- George PapadakisMikalai TsytsarauKostas ZoumpatianosPaul BoniolMichele LinardiEamonn KeoghYannis VelegrakisJohn Paparrizos
- Topics
- Time Series Analysis and Forecasting (86 papers)Data Management and Algorithms (76 papers)Advanced Database Systems and Queries (56 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsACM Computing Surveys
- Partner nations
- FranceItalyUnited States
In The Last Decade
Themis Palpanas
203 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 2.7k
- Signal Processing 2.4k
- Computer Networks and Communications 1.2k
- Management Science and Operations Research 993
- Information Systems 805
Countries citing papers authored by Themis Palpanas
This map shows the geographic impact of Themis Palpanas'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 Themis Palpanas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Themis Palpanas more than expected).
Fields of papers citing papers by Themis Palpanas
This network shows the impact of papers produced by Themis Palpanas. 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 Themis Palpanas. The network helps show where Themis Palpanas may publish in the future.
Co-authorship network of co-authors of Themis Palpanas
This figure shows the co-authorship network connecting the top 25 collaborators of Themis Palpanas. A scholar is included among the top collaborators of Themis Palpanas 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 Themis Palpanas. Themis Palpanas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 32 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 25 | |
| 14 | 31 | |
| 15 | When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation. | 2 |
| 16 | Monitoring and diagnosing indicators for business analytics | 2 |
| 17 | 3 | |
| 18 | Corpus Evidence for Age Effects on Priming in Child Language | 6 |
| 19 | Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications. | 6 |
| 20 | Online Distribution Estimation for Streaming Data: Framework and Applications. | 3 |
About Themis Palpanas
Themis Palpanas is a scholar working on Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 208 papers that have together received 4.6k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (86 papers), Data Management and Algorithms (76 papers) and Advanced Database Systems and Queries (56 papers). The work is most often cited by research in Signal Processing (2.4k citations), Artificial Intelligence (2.7k citations) and Management Science and Operations Research (993 citations). Themis Palpanas has collaborated with scholars based in France, Italy and United States. Frequent co-authors include George Papadakis, Mikalai Tsytsarau, Kostas Zoumpatianos, Paul Boniol, Michele Linardi, Eamonn Keogh, Yannis Velegrakis, John Paparrizos, Davide Mottin and Karima Echihabi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.
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.