Rob Ashmore
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Health Informatics top 10%
Papers in
-
- Adversarial Robustness in Machine Learning 7
- Anomaly Detection Techniques and Applications 5
- Machine Learning and Data Classification 2
- Software 5
- Software Reliability and Analysis Research 3
- Software Testing and Debugging Techniques 3
- Co-authors
- Colin Paterson (1 shared paper)Radu Călinescu (1 shared paper)Matthew Q. Hill (4 shared papers)Xiaowei Huang (3 shared papers)James J. Sharp (3 shared papers)Youcheng Sun (3 shared papers)Daniel Kroening (3 shared papers)Alec Banks (2 shared papers)
- Journals
- ACM Transactions on Embedded Computing Systems (1 paper)ACM Computing Surveys (1 paper)Lecture notes in computer science (1 paper)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (2 papers)National Conference on Artificial Intelligence (2 papers)
- Partner nations
- United Kingdom
In The Last Decade
Rob Ashmore
10 papers receiving 297 citations
Peers
Comparison fields: 5 of 53
- Software 93
- Health Informatics 11
- Artificial Intelligence 196
- Safety, Risk, Reliability and Quality 31
- Safety Research 27
Countries citing papers authored by Rob Ashmore
This map shows the geographic impact of Rob Ashmore'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 Rob Ashmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Ashmore more than expected).
Fields of papers citing papers by Rob Ashmore
This network shows the impact of papers produced by Rob Ashmore. 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 Rob Ashmore. The network helps show where Rob Ashmore may publish in the future.
Co-authors
The 15 scholars most cited alongside Rob Ashmore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2019 | 69 | |
| 3 | 2019 | 45 | |
| 4 | 2019 | 22 | |
| 5 | Safety Assurance Objectives for Autonomous Systems | 2020 | 10 |
| 6 | 2018 | 9 | |
| 7 | Requirements Assurance in Machine Learning. | 2019 | 7 |
| 8 | 2022 | 3 | |
| 9 | The Utility of Neural Network Test Coverage Measures. | 2021 | 1 |
| 10 | The State of Solutions for Autonomous Systems Safety | 2018 | 1 |
About Rob Ashmore
Rob Ashmore is a scholar working on Artificial Intelligence, Software, Safety, Risk, Reliability and Quality, Radiological and Ultrasound Technology and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Anomaly Detection Techniques and Applications (5 papers), Software Reliability and Analysis Research (3 papers), Software Testing and Debugging Techniques (3 papers), Safety Systems Engineering in Autonomy (3 papers), Risk and Safety Analysis (2 papers), Occupational Health and Safety Research (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Software (93 citations), Health Informatics (11 citations), Artificial Intelligence (196 citations), Safety, Risk, Reliability and Quality (31 citations) and Safety Research (27 citations). Rob Ashmore has collaborated with scholars based in United Kingdom. Frequent co-authors include Colin Paterson, Radu Călinescu, Matthew Q. Hill, Xiaowei Huang, James J. Sharp, Youcheng Sun, Daniel Kroening, Alec Banks, Rob Alexander and Hamid Asgari. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, ACM Computing Surveys, Lecture notes in computer science, White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and National Conference on Artificial Intelligence.
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.