Philip Woodall
- Industrial and Manufacturing Engineering top 1%
- Building and Construction top 2%
- Management Information Systems top 2%
- Strategy and Management top 5%
- Information Systems top 5%
- Co-authors
- Ajith Kumar ParlikadJames T. HeatonDuncan McFarlaneJennifer SchoolingQiuchen LuEirini KonstantinouXiang XieAlexandra Brintrup
- Topics
- Data Quality and Management (20 papers)Physics of Superconductivity and Magnetism (10 papers)Big Data and Business Intelligence (10 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsBuilding and Construction
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Philip Woodall
52 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Industrial and Manufacturing Engineering 367
- Building and Construction 289
- Management Information Systems 256
- Strategy and Management 190
- Information Systems 152
Countries citing papers authored by Philip Woodall
This map shows the geographic impact of Philip Woodall'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 Philip Woodall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Woodall more than expected).
Fields of papers citing papers by Philip Woodall
This network shows the impact of papers produced by Philip Woodall. 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 Philip Woodall. The network helps show where Philip Woodall may publish in the future.
Co-authorship network of co-authors of Philip Woodall
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Woodall. A scholar is included among the top collaborators of Philip Woodall 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 Philip Woodall. Philip Woodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 133 | |
| 2 | 28 | |
| 3 | Data Quality Problems in ETL: The State of the Practice in Large Organisations. | 2 |
| 4 | 2 | |
| 5 | Data Quality in Analytics: Key Problems Arising from the Repurposing of Manufacturing Data | 2 |
| 6 | An Investigation of How Data Quality is Affected by Dataset Size in the Context of Big Data Analytics. | 9 |
| 7 | Total Information Risk Management: Maximizing the Value of Data and Information Assets | 14 |
| 8 | A preliminary study on methods for retaining data quality problems in automatically generated test data | 2 |
| 9 | An investigation into data quality root cause analysis | 1 |
| 10 | Towards a process for total information risk management. | 10 |
| 11 | Exploring the "Crowd" as enabler of better information quality. | 3 |
| 12 | A classification of data quality assessment methods | 6 |
| 13 | A hybrid approach to assessing data quality. | 7 |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 2 |
About Philip Woodall
Philip Woodall is a scholar working on Management Information Systems, Management Science and Operations Research and Condensed Matter Physics, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Quality and Management (20 papers), Physics of Superconductivity and Magnetism (10 papers) and Big Data and Business Intelligence (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (367 citations), Management Information Systems (256 citations) and Building and Construction (289 citations). Philip Woodall has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Ajith Kumar Parlikad, James T. Heaton, Duncan McFarlane, Jennifer Schooling, Qiuchen Lu, Eirini Konstantinou, Xiang Xie, Alexandra Brintrup, Zhenglin Liang and Pearl Brereton. Their work appears in journals such as Applied Physics Letters, Applied Surface Science and Journal of Alloys and Compounds.
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.