R.J. Kafka
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Artificial Intelligence
- Civil and Structural Engineering
- Co-authors
- M. M. AdibiH.H. HappDanielle ScheurerJ K RaineL.H. FinkLamine MiliKeinosuke MatsumotoToshiaki Sakaguchi
- Topics
- Power System Optimization and Stability (12 papers)Power System Reliability and Maintenance (6 papers)Power Systems and Technologies (6 papers)
- Cited by
- Safety, Risk, Reliability and QualityControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- United StatesRepublic of the CongoJapan
In The Last Decade
R.J. Kafka
19 papers receiving 699 citations
Peers
Comparison fields: 5 of 38
- Electrical and Electronic Engineering 708
- Control and Systems Engineering 300
- Safety, Risk, Reliability and Quality 158
- Artificial Intelligence 46
- Civil and Structural Engineering 36
Countries citing papers authored by R.J. Kafka
This map shows the geographic impact of R.J. Kafka'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 R.J. Kafka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.J. Kafka more than expected).
Fields of papers citing papers by R.J. Kafka
This network shows the impact of papers produced by R.J. Kafka. 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 R.J. Kafka. The network helps show where R.J. Kafka may publish in the future.
Co-authorship network of co-authors of R.J. Kafka
This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Kafka. A scholar is included among the top collaborators of R.J. Kafka 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 R.J. Kafka. R.J. Kafka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 45 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 67 | |
| 7 | 39 | |
| 8 | 15 | |
| 9 | An approach to metering and network modeling | 1 |
| 10 | 110 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 3 | |
| 14 | 193 | |
| 15 | 11 | |
| 16 | 99 | |
| 17 | 56 | |
| 18 | 83 | |
| 19 | 1 |
About R.J. Kafka
R.J. Kafka is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 19 papers that have together received 779 indexed citations. Recurring topics across this work include Power System Optimization and Stability (12 papers), Power System Reliability and Maintenance (6 papers) and Power Systems and Technologies (6 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (158 citations), Control and Systems Engineering (300 citations) and Electrical and Electronic Engineering (708 citations). R.J. Kafka has collaborated with scholars based in United States, Republic of the Congo and Japan. Frequent co-authors include M. M. Adibi, H.H. Happ, Danielle Scheurer, J K Raine, L.H. Fink, Lamine Mili, Keinosuke Matsumoto, Toshiaki Sakaguchi, K.A. Clements and J.P. Stovall. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems and IEEE Power and Energy Magazine.
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.