Phillip Brown

1.3k total citations
12 papers, 159 citations indexed

About

Phillip Brown is a scholar working on Information Systems, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Phillip Brown has authored 12 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Phillip Brown's 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). Phillip Brown is often cited by papers focused on Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Phillip Brown collaborates with scholars based in United Kingdom, United States and New Zealand. Phillip Brown's 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 and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

In The Last Decade

Phillip Brown

12 papers receiving 150 citations

Peers

Phillip Brown

EDUCA

SPS

PSIR

EE

MC

Junaedi Junaedi Indonesia

Hitoshi Nasu Australia

Irfan Irfan Indonesia

Suharni Suharni Indonesia

George Washington United States

Fei Yuan China

Javier Jordán Enamorado Spain

Abdurrahman Abdurrahman Indonesia

Joan Johnson‐Freese United States

Sulaiman Sulaiman Indonesia

Junaedi Junaedi Indonesia

Phillip Brown

108 ×1.9

EDUCA

33 ×0.7

SPS

24 ×0.5

PSIR

6 ×0.4

EE

4 ×0.3

MC

Citations per year, relative to Phillip Brown Phillip Brown (= 1×) peers Junaedi Junaedi

Countries citing papers authored by Phillip Brown

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Brown, Phillip, Austin L. Brown, Maanak Gupta, & Mahmoud Abdelsalam. (2022). Online Malware Classification with System-Wide System Calls in Cloud IaaS. 146–151. 6 indexed citations

2.

Brown, Austin, et al.. (2021). Malware Classification Using Deep Learning in Cloud Environments. 5. 1 indexed citations

3.

Martin, Andrew D., et al.. (2020). Improving Real-Time Position Estimation Using Correlated Noise Models. Sensors. 20(20). 5913–5913. 5 indexed citations

4.

Brown, Phillip, et al.. (2020). Comparison of Enhanced Noise Model Performance Based on Analysis of Civilian GPS Data. Sensors. 20(21). 6050–6050. 6 indexed citations

5.

Brown, Phillip, Hugh Lauder, & Sin Yi Cheung. (2020). The Death of Human Capital?. ORCA Online Research @Cardiff (Cardiff University). 104 indexed citations

6.

Seelke, Clare Ribando, et al.. (2015). Mexico's Oil and Gas Sector: Background, Reform Efforts, and Implications for the United States [January 6, 2014]. Library of Congress. Congressional Research Service. 6 indexed citations

7.

Zhang, Jian, Phillip Brown, David C. James, et al.. (2006). On the statistical analysis of the GS-NS0 cell proteome: Imputation, clustering and variability testing. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(7). 1179–1187. 8 indexed citations

8.

Brown, Phillip, et al.. (1994). Improving the System Software Requirements Development Process. INCOSE International Symposium. 4(1). 642–649. 1 indexed citations

9.

Brown, Phillip, et al.. (1993). Functional Analysis Vs. Object Oriented Analysis, A View from the Trenches. INCOSE International Symposium. 3(1). 173–179. 3 indexed citations

10.

Brown, Phillip, et al.. (1973). The efficiency of a magnetostrictive transducer unit: Part 2. Applied Acoustics. 6(3). 171–191. 1 indexed citations

11.

Brown, Phillip, et al.. (1969). An investigation into the performance of nickel alloy magnetostrictive transducers prepared for commercial use — 1. Applied Acoustics. 2(2). 111–120. 1 indexed citations

12.

Brown, Phillip, et al.. (1967). Variation of the Relative Intensity of Cavitation with Temperature. The Journal of the Acoustical Society of America. 41(3). 568–572. 17 indexed citations

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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