Phillip Brown
- Education
- Sociology and Political Science
- Political Science and International Relations top 10%
- Economics and Econometrics
- Materials Chemistry
- Co-authors
- Hugh LauderSin Yi CheungAustin L. BrownMahmoud AbdelsalamDániel SchumayerAndrew D. MartinMichael RatnerClare Ribando Seelke
- Topics
- Software Engineering Research (2 papers)Software Engineering Techniques and Practices (2 papers)Target Tracking and Data Fusion in Sensor Networks (2 papers)
- Journals
- The Journal of the Acoustical Society of AmericaSensorsBiochimica et Biophysica Acta (BBA) - Proteins and Proteomics
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Phillip Brown
12 papers receiving 150 citations
Peers
Comparison fields: 5 of 63
- Education 57
- Sociology and Political Science 50
- Political Science and International Relations 46
- Economics and Econometrics 17
- Materials Chemistry 15
Countries citing papers authored by Phillip Brown
This map shows the geographic impact of Phillip Brown'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 Phillip Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Brown more than expected).
Fields of papers citing papers by Phillip Brown
This network shows the impact of papers produced by Phillip Brown. 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 Phillip Brown. The network helps show where Phillip Brown may publish in the future.
Co-authorship network of co-authors of Phillip Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Brown. A scholar is included among the top collaborators of Phillip Brown 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 Phillip Brown. Phillip Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Malware Classification Using Deep Learning in Cloud Environments | 1 |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 104 | |
| 6 | Mexico's Oil and Gas Sector: Background, Reform Efforts, and Implications for the United States [January 6, 2014] | 6 |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 17 |
About Phillip Brown
Phillip Brown is a scholar working on Signal Processing, Information Systems and General Economics, Econometrics and Finance, having authored 12 papers that have together received 159 indexed citations. Recurring topics across this work include Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Human Factors and Ergonomics (9 citations), Political Science and International Relations (46 citations) and Education (57 citations). Phillip Brown has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Hugh Lauder, Sin Yi Cheung, Austin L. Brown, Mahmoud Abdelsalam, Dániel Schumayer, Andrew D. Martin, Michael Ratner, Clare Ribando Seelke, T. C. A. Molteno and Maanak Gupta. Their work appears in journals such as The Journal of the Acoustical Society of America, Sensors and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.