K. Ch. Chatzisavvas
- Artificial Intelligence top 5%
- Marketing top 5%
- Information Systems top 5%
- Atomic and Molecular Physics, and Optics
- Astronomy and Astrophysics top 10%
- Co-authors
- Konstantinos DiamantarasThanasis VafeiadisC. P. PanosCh. C. MoustakidisAthena VakaliManolis G. VozalisΜαρία ΓιάτσογλουGeorgios C. Christoforidis
- Topics
- Statistical Mechanics and Entropy (5 papers)Energy Load and Power Forecasting (4 papers)Smart Grid Energy Management (3 papers)
In The Last Decade
K. Ch. Chatzisavvas
23 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 328
- Marketing 241
- Information Systems 139
- Atomic and Molecular Physics, and Optics 106
- Astronomy and Astrophysics 105
Countries citing papers authored by K. Ch. Chatzisavvas
This map shows the geographic impact of K. Ch. Chatzisavvas'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 K. Ch. Chatzisavvas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Ch. Chatzisavvas more than expected).
Fields of papers citing papers by K. Ch. Chatzisavvas
This network shows the impact of papers produced by K. Ch. Chatzisavvas. 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 K. Ch. Chatzisavvas. The network helps show where K. Ch. Chatzisavvas may publish in the future.
Co-authorship network of co-authors of K. Ch. Chatzisavvas
This figure shows the co-authorship network connecting the top 25 collaborators of K. Ch. Chatzisavvas. A scholar is included among the top collaborators of K. Ch. Chatzisavvas 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 K. Ch. Chatzisavvas. K. Ch. Chatzisavvas 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 | 3 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 31 | |
| 8 | 4 | |
| 9 | 244 | |
| 10 | A comparison of machine learning techniques for customer churn predictionbreakdown → | 312 |
| 11 | 3 | |
| 12 | 39 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 61 | |
| 17 | 2 | |
| 18 | 40 | |
| 19 | 50 | |
| 20 | 12 |
About K. Ch. Chatzisavvas
K. Ch. Chatzisavvas is a scholar working on Human Factors and Ergonomics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 23 papers that have together received 915 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (5 papers), Energy Load and Power Forecasting (4 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Marketing (241 citations), Artificial Intelligence (328 citations) and Organizational Behavior and Human Resource Management (102 citations). K. Ch. Chatzisavvas has collaborated with scholars based in Greece, India and Germany. Frequent co-authors include Konstantinos Diamantaras, Thanasis Vafeiadis, C. P. Panos, Ch. C. Moustakidis, Athena Vakali, Manolis G. Vozalis, Μαρία Γιάτσογλου, Georgios C. Christoforidis, K. D. Sen and Stavros Lazarou. Their work appears in journals such as Physical Review A, Energy Policy and Expert Systems with Applications.
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.