Klemen Kenda
- Industrial and Manufacturing Engineering top 5%
- Environmental Engineering top 10%
- Artificial Intelligence
- Water Science and Technology
- Management Information Systems top 10%
- Co-authors
- Dunja MladenićJože M. RožanecBlaž FortunaInna NovalijaPatrik ZajecThanassis GiannetsosSofia Anna MenesidouNino Cauli
- Topics
- Water Quality Monitoring Technologies (5 papers)Hydrological Forecasting Using AI (4 papers)Data Stream Mining Techniques (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringEnvironmental EngineeringManagement Information Systems
- Journals
- SHILAP Revista de lepidopterologíaSensorsSustainability
- Partner nations
- SloveniaGreeceSwitzerland
In The Last Decade
Klemen Kenda
18 papers receiving 333 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Industrial and Manufacturing Engineering 137
- Environmental Engineering 73
- Artificial Intelligence 69
- Water Science and Technology 63
- Management Information Systems 45
Countries citing papers authored by Klemen Kenda
This map shows the geographic impact of Klemen Kenda'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 Klemen Kenda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klemen Kenda more than expected).
Fields of papers citing papers by Klemen Kenda
This network shows the impact of papers produced by Klemen Kenda. 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 Klemen Kenda. The network helps show where Klemen Kenda may publish in the future.
Co-authorship network of co-authors of Klemen Kenda
This figure shows the co-authorship network connecting the top 25 collaborators of Klemen Kenda. A scholar is included among the top collaborators of Klemen Kenda 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 Klemen Kenda. Klemen Kenda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Human-centric artificial intelligence architecture for industry 5.0 applicationsbreakdown → | 137 |
| 2 | 36 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | Towards Actionable Cognitive Digital Twins for Manufacturing. | 11 |
| 10 | 18 | |
| 11 | 29 | |
| 12 | 0 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 42 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 14 |
About Klemen Kenda
Klemen Kenda is a scholar working on Water Science and Technology, Artificial Intelligence and Management Information Systems, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (5 papers), Hydrological Forecasting Using AI (4 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (137 citations), Environmental Engineering (73 citations) and Management Information Systems (45 citations). Klemen Kenda has collaborated with scholars based in Slovenia, Greece and Switzerland. Frequent co-authors include Dunja Mladenić, Jože M. Rožanec, Blaž Fortuna, Inna Novalija, Patrik Zajec, Thanassis Giannetsos, Sofia Anna Menesidou, Nino Cauli, Sungho Suh and Rubén Alonso. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Sustainability.
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.