Neal Snooke
- Atmospheric Science top 10%
- Environmental Engineering top 10%
- Geology top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Co-authors
- Poul ChristoffersenChris PriceTom HoltJason E. BoxAlun HubbardJonathan C. RyanJoe ToddJ. Rachel Carr
- Topics
- Model-Driven Software Engineering Techniques (7 papers)Software Reliability and Analysis Research (6 papers)Software Engineering Research (6 papers)
- Partner nations
- United KingdomNorwayDenmark
In The Last Decade
Neal Snooke
29 papers receiving 605 citations
Peers
Comparison fields: 5 of 86
- Atmospheric Science 228
- Environmental Engineering 145
- Geology 140
- Artificial Intelligence 121
- Software 95
Countries citing papers authored by Neal Snooke
This map shows the geographic impact of Neal Snooke'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 Neal Snooke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal Snooke more than expected).
Fields of papers citing papers by Neal Snooke
This network shows the impact of papers produced by Neal Snooke. 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 Neal Snooke. The network helps show where Neal Snooke may publish in the future.
Co-authorship network of co-authors of Neal Snooke
This figure shows the co-authorship network connecting the top 25 collaborators of Neal Snooke. A scholar is included among the top collaborators of Neal Snooke 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 Neal Snooke. Neal Snooke 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 | 78 | |
| 3 | Estimating ice-melange properties with repeat UAV surveys over Store Glacier, West Greenland | 3 |
| 4 | 213 | |
| 5 | Tidewater Dynamics at Store Glacier, West Greenland from Daily Repeat UAV Survey | 1 |
| 6 | 18 | |
| 7 | 77 | |
| 8 | 18 | |
| 9 | An Automated Failure Modes and Effect Analysis Based Visual Matrix Approach to Sensor Selection and Diagnosability Assessment | 3 |
| 10 | An Automated Software FMEA | 7 |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | Functional decomposition for interpretation of model based simulation | 8 |
| 16 | Describing System Functions that Depend on Intermittent and Sequential Behavior | 7 |
| 17 | Simulating electrical devices with complex behaviour | 12 |
| 18 | 4 | |
| 19 | 17 | |
| 20 | Challenges for qualitative electrical reasoning in automotive circuit simulation | 8 |
About Neal Snooke
Neal Snooke is a scholar working on Software, Statistics, Probability and Uncertainty and Geology, having authored 30 papers that have together received 661 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (7 papers), Software Reliability and Analysis Research (6 papers) and Software Engineering Research (6 papers). The work is most often cited by research in Geology (140 citations), Software (95 citations) and Space and Planetary Science (28 citations). Neal Snooke has collaborated with scholars based in United Kingdom, Norway and Denmark. Frequent co-authors include Poul Christoffersen, Chris Price, Tom Holt, Jason E. Box, Alun Hubbard, Jonathan C. Ryan, Joe Todd, J. Rachel Carr, C.J. Price and Samuel Doyle. Their work appears in journals such as IEEE Transactions on Cybernetics, Methods in Ecology and Evolution and Knowledge-Based Systems.
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.