Laura Pullum
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Anomaly Detection Techniques and Applications 7
- Adversarial Robustness in Machine Learning 6
- Epidemiology 12
- Data-Driven Disease Surveillance 11
- Co-authors
- Arvind Ramanathan (19 shared papers)J.B. Dugan (2 shared papers)Chad A. Steed (6 shared papers)Sumit Kumar Jha (8 shared papers)Xiaohui Cui (6 shared papers)Christopher Rouff (4 shared papers)James Nutaro (3 shared papers)Courtney D. Corley (1 shared paper)
- Journals
- PLoS ONE (3 papers)BMC Bioinformatics (1 paper)Animal Health Research Reviews (1 paper)Pattern Recognition Letters (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Laura Pullum
51 papers receiving 415 citations
Peers
Comparison fields: 5 of 91
- Software 135
- Modeling and Simulation 41
- Hardware and Architecture 37
- Computer Networks and Communications 119
- Safety, Risk, Reliability and Quality 47
Countries citing papers authored by Laura Pullum
This map shows the geographic impact of Laura Pullum'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 Laura Pullum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Pullum more than expected).
Fields of papers citing papers by Laura Pullum
This network shows the impact of papers produced by Laura Pullum. 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 Laura Pullum. The network helps show where Laura Pullum may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Pullum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Software Fault Tolerance Techniques and Implementation | 2001 | 152 |
| 2 | 2012 | 29 | |
| 3 | 2002 | 24 | |
| 4 | 2014 | 23 | |
| 5 | 2012 | 19 | |
| 6 | 2016 | 14 | |
| 7 | 2016 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2012 | 11 | |
| 10 | 2010 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2009 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2017 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2017 | 5 |
About Laura Pullum
Laura Pullum is a scholar working on Artificial Intelligence, Epidemiology, Management Science and Operations Research, Software and Computer Networks and Communications, having authored 53 papers that have together received 448 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (11 papers), Software Reliability and Analysis Research (10 papers), COVID-19 epidemiological studies (8 papers), Anomaly Detection Techniques and Applications (7 papers), Simulation Techniques and Applications (7 papers), Adversarial Robustness in Machine Learning (6 papers), Distributed systems and fault tolerance (5 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (135 citations), Modeling and Simulation (41 citations), Hardware and Architecture (37 citations), Computer Networks and Communications (119 citations) and Safety, Risk, Reliability and Quality (47 citations). Laura Pullum has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Arvind Ramanathan, J.B. Dugan, Chad A. Steed, Sumit Kumar Jha, Xiaohui Cui, Christopher Rouff, James Nutaro, Courtney D. Corley, Shannon Quinn and Peter Rabinowitz. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Animal Health Research Reviews, Pattern Recognition Letters and Frontiers in Public Health.
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.