Kim Hockings
- Mechanical Engineering top 10%
- Biomedical Engineering
- Fuel Technology top 0.5%
- Materials Chemistry
- Ocean Engineering
- Co-authors
- Oleg OstrovskiP. ZulliHarold RogersXing XingGuangqing ZhangHannah LomasArash TahmasebiPramod Koshy
- Topics
- Thermochemical Biomass Conversion Processes (13 papers)Iron and Steelmaking Processes (8 papers)Coal and Coke Industries Research (7 papers)
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Kim Hockings
20 papers receiving 317 citations
Peers
Comparison fields: 5 of 36
- Mechanical Engineering 247
- Biomedical Engineering 220
- Fuel Technology 78
- Materials Chemistry 62
- Ocean Engineering 37
Countries citing papers authored by Kim Hockings
This map shows the geographic impact of Kim Hockings'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 Kim Hockings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Hockings more than expected).
Fields of papers citing papers by Kim Hockings
This network shows the impact of papers produced by Kim Hockings. 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 Kim Hockings. The network helps show where Kim Hockings may publish in the future.
Co-authorship network of co-authors of Kim Hockings
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Hockings. A scholar is included among the top collaborators of Kim Hockings 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 Kim Hockings. Kim Hockings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 30 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 39 | |
| 12 | 19 | |
| 13 | 38 | |
| 14 | 15 | |
| 15 | 35 | |
| 16 | A structured, blended hazard identification framework for advanced process diagnosis | 7 |
| 17 | Knowledge representation, extraction and generation for supporting a semi-automatic blended hazard identification method | 2 |
| 18 | A blended hazard identification approach to support intelligent diagnosis in process systems | 4 |
| 19 | Modelling of coal blending to predict coke quality | 2 |
| 20 | Model based control of a coke battery | 0 |
About Kim Hockings
Kim Hockings is a scholar working on Fuel Technology, Medical Laboratory Technology and Geochemistry and Petrology, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (13 papers), Iron and Steelmaking Processes (8 papers) and Coal and Coke Industries Research (7 papers). The work is most often cited by research in Fuel Technology (78 citations), Mechanical Engineering (247 citations) and Geochemistry and Petrology (33 citations). Kim Hockings has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Oleg Ostrovski, P. Zulli, Harold Rogers, Xing Xing, Guangqing Zhang, Hannah Lomas, Arash Tahmasebi, Pramod Koshy, Merrick R. Mahoney and Tom Honeyands. Their work appears in journals such as Fuel, Energy & Fuels and Fuel Processing Technology.
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.