Laura Pullum

734 citations
57 papers · 520 · h-index 11

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • COVID-19 epidemiological studies

Papers in

    • Anomaly Detection Techniques and Applications 7
    • Adversarial Robustness in Machine Learning 6
    • Software Reliability and Analysis Research 13

Laura Pullum

55 papers receiving 479 citations

Peers

Laura Pullum
Comparison fields: 5 of 95
  • Software 158
  • Modeling and Simulation 40
  • Safety, Risk, Reliability and Quality 56
  • Hardware and Architecture 43
  • Computer Networks and Communications 135
Replace Alex Roederer with:
Alex Roederer United States
Jodi Gray Australia
Alfredo Benso Italy
Aistis Šimaitis United Kingdom
Pierre Schaus Belgium
Yizhi Ren China
Claude Thibeault Canada
Rosana Teresinha Vaccare Braga Brazil
Ing-Yi Chen Taiwan
M. Díaz France
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Citations per field
00.5×9.3×
Alex Roederer · 1×
Citations per year

Countries citing papers authored by Laura Pullum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Laura Pullum Line = papers co-authored together Laura Pullum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Software Fault Tolerance Techniques and Implementation
2001189
2 201230
3 200228
4 201427
5 201220
6 201616
7 201512
8 201212
9 201612
10 201012
11 201611
12 202110
13 20199
14 20099
15 20177
16 20197
17
Integrating Heterogeneous Healthcare Datasets and Visual Analytics for Disease Bio-surveillance and Dynamics
20137
18 20176
19 20175
20 20155

About Laura Pullum

Laura Pullum is a scholar working on Artificial Intelligence, Software, Epidemiology, Management Science and Operations Research and Computer Networks and Communications, having authored 57 papers that have together received 520 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (13 papers), Data-Driven Disease Surveillance (11 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 Scientific Computing and Data Management (4 papers). The work is most often cited by research in Software (158 citations), Modeling and Simulation (40 citations), Safety, Risk, Reliability and Quality (56 citations), Hardware and Architecture (43 citations) and Computer Networks and Communications (135 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, Xiaohui Cui, Christopher Rouff, Sumit Kumar Jha, James Nutaro, Brian J. Taylor, David Hartley and Courtney D. Corley. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, Pattern Recognition Letters, Journal of Biomedical Informatics and Animal Health Research Reviews.

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.

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