S.J. Kiartzis
- Electrical and Electronic Engineering top 10%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Anastasios G. BakirtzisJohn B. TheocharisV. PetridisStelios PapadakisAthanasios KehagiasAntonios G. KladasC.E. ZoumasLoukas Petrou
- Topics
- Energy Load and Power Forecasting (10 papers)Neural Networks and Applications (4 papers)Grey System Theory Applications (3 papers)
- Cited by
- Management Science and Operations ResearchElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Power SystemsJournal of Materials Processing TechnologyIEEE Transactions on Magnetics
- Partner nations
- Greece
In The Last Decade
S.J. Kiartzis
12 papers receiving 558 citations
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 487
- Management Science and Operations Research 233
- Artificial Intelligence 188
- Environmental Engineering 83
- Control and Systems Engineering 82
Countries citing papers authored by S.J. Kiartzis
This map shows the geographic impact of S.J. Kiartzis'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 S.J. Kiartzis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.J. Kiartzis more than expected).
Fields of papers citing papers by S.J. Kiartzis
This network shows the impact of papers produced by S.J. Kiartzis. 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 S.J. Kiartzis. The network helps show where S.J. Kiartzis may publish in the future.
Co-authorship network of co-authors of S.J. Kiartzis
This figure shows the co-authorship network connecting the top 25 collaborators of S.J. Kiartzis. A scholar is included among the top collaborators of S.J. Kiartzis 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 S.J. Kiartzis. S.J. Kiartzis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 53 | |
| 5 | 26 | |
| 6 | 24 | |
| 7 | 8 | |
| 8 | 103 | |
| 9 | 40 | |
| 10 | 25 | |
| 11 | 99 | |
| 12 | 174 |
About S.J. Kiartzis
S.J. Kiartzis is a scholar working on Management Science and Operations Research, Environmental Engineering and Electrical and Electronic Engineering, having authored 12 papers that have together received 609 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Neural Networks and Applications (4 papers) and Grey System Theory Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (233 citations), Electrical and Electronic Engineering (487 citations) and Artificial Intelligence (188 citations). S.J. Kiartzis has collaborated with scholars based in Greece. Frequent co-authors include Anastasios G. Bakirtzis, John B. Theocharis, V. Petridis, Stelios Papadakis, Athanasios Kehagias, Antonios G. Kladas, C.E. Zoumas, Loukas Petrou, J.A. Tegopoulos and George E. Tsekouras. Their work appears in journals such as IEEE Transactions on Power Systems, Journal of Materials Processing Technology and IEEE Transactions on Magnetics.
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.