Paul Rimba

2.0k total citations · 2 hit papers
19 papers, 1.1k citations indexed

About

Paul Rimba is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Paul Rimba has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 9 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Paul Rimba's work include Blockchain Technology Applications and Security (9 papers), Security and Verification in Computing (5 papers) and Cloud Computing and Resource Management (4 papers). Paul Rimba is often cited by papers focused on Blockchain Technology Applications and Security (9 papers), Security and Verification in Computing (5 papers) and Cloud Computing and Resource Management (4 papers). Paul Rimba collaborates with scholars based in Australia, China and Sweden. Paul Rimba's co-authors include Mark Staples, Ingo Weber, Xiwei Xu, Liming Zhu, Len Bass, Cesare Pautasso, Jan Bosch, Nan Sun, An Binh Tran and Jun Zhang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Computers & Security and Information Systems Frontiers.

In The Last Decade

Paul Rimba

19 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Taxonomy of Blockchain-Based Systems for Architecture Design

2017 427 citations Xiwei Xu, Ingo Weber et al. Chalmers Research (Chalmers University of Technology) profile →
Data-Driven Cybersecurity Incident Prediction: A Survey

2018 236 citations Nan Sun, Jun Zhang et al. IEEE Communications Surveys & Tutorials profile →

Peers

Paul Rimba

IS

CNC

AI

MIS

SP

Mohammad Jabed Morshed Chowdhury Australia

Neal Leavitt

Jianming Zhu China

Florian Tschorsch Germany

Ittay Eyal Israel

Ana Reyna Spain

Aditya Ghose Australia

Enrique Soler Spain

Alexander Zeier Germany

Muthu Ramachandran United Kingdom

Mohammad Jabed Morshed Chowdhury Australia

Paul Rimba

657 ×0.7

IS

433 ×0.9

CNC

244 ×1.0

AI

86 ×0.5

MIS

167 ×1.2

SP

Citations per year, relative to Paul Rimba Paul Rimba (= 1×) peers Mohammad Jabed Morshed Chowdhury

Countries citing papers authored by Paul Rimba

Since Specialization

Citations

This map shows the geographic impact of Paul Rimba'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 Paul Rimba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Rimba more than expected).

Fields of papers citing papers by Paul Rimba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Rimba. 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 Paul Rimba. The network helps show where Paul Rimba may publish in the future.

Co-authorship network of co-authors of Paul Rimba

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Rimba. A scholar is included among the top collaborators of Paul Rimba 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 Paul Rimba. Paul Rimba 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:

19 of 19 papers shown

1.

Sun, Nan, Guanjun Lin, Junyang Qiu, & Paul Rimba. (2020). Near real-time twitter spam detection with machine learning techniques. International Journal of Computers and Applications. 44(4). 338–348. 49 indexed citations

2.

Yu, Bin, Joseph K. Liu, ‪Surya Nepal‬, Jiangshan Yu, & Paul Rimba. (2019). Proof-of-QoS: QoS based blockchain consensus protocol. Computers & Security. 87. 101580–101580. 42 indexed citations

3.

Murray, Toby, et al.. (2019). Empirically Analyzing Ethereum's Gas Mechanism. Minerva Access (University of Melbourne). 310–319. 16 indexed citations

4.

Rimba, Paul, An Binh Tran, Ingo Weber, et al.. (2019). Correction to: Quantifying the Cost of Distrust: Comparing Blockchain and Cloud Services for Business Process Execution. Information Systems Frontiers. 22(2). 509–510. 1 indexed citations

5.

Rimba, Paul, An Binh Tran, Ingo Weber, et al.. (2018). Quantifying the Cost of Distrust: Comparing Blockchain and Cloud Services for Business Process Execution. Information Systems Frontiers. 22(2). 489–507. 44 indexed citations

6.

Sun, Nan, Jun Zhang, Paul Rimba, et al.. (2018). Data-Driven Cybersecurity Incident Prediction: A Survey. IEEE Communications Surveys & Tutorials. 21(2). 1744–1772. 236 indexed citations breakdown →

7.

Sinnott, Richard, et al.. (2018). Urban Traffic Analysis Using Social Media Data on the Cloud. 11. 134–141. 4 indexed citations

8.

Weber, Ingo, Vincent Gramoli, Mark Staples, et al.. (2017). On Availability for Blockchain-Based Systems. 64–73. 101 indexed citations

9.

Tran, An Binh, Xiwei Xu, Ingo Weber, Mark Staples, & Paul Rimba. (2017). Regerator: a Registry Generator for Blockchain.. 81–88. 20 indexed citations

10.

Zhu, John, Xiwei Xu, Ingo Weber, et al.. (2017). Risks and opportunities for systems using blockchain and smart contracts. CSIRO. 70 indexed citations

11.

Rimba, Paul, et al.. (2017). A Big Data Architecture for Near Real-time Traffic Analytics. 157–162. 7 indexed citations

12.

Rimba, Paul, An Binh Tran, Ingo Weber, et al.. (2017). Comparing Blockchain and Cloud Services for Business Process Execution. 257–260. 55 indexed citations

13.

Xu, Xiwei, Ingo Weber, Mark Staples, et al.. (2017). A Taxonomy of Blockchain-Based Systems for Architecture Design. Chalmers Research (Chalmers University of Technology). 243–252. 427 indexed citations breakdown →

14.

Bass, Len, Ralph Holz, Paul Rimba, An Binh Tran, & Liming Zhu. (2015). Securing a Deployment Pipeline. UNSWorks (University of New South Wales, Sydney, Australia). 4–7. 24 indexed citations

15.

Xu, Xiwei, Liming Zhu, Minyue Fu, et al.. (2015). Crying Wolf and Meaning It: Reducing False Alarms in Monitoring of Sporadic Operations through POD-Monitor. UNSWorks (University of New South Wales, Sydney, Australia). 69–75. 4 indexed citations

16.

Rimba, Paul, Liming Zhu, Len Bass, Ihor Kuz, & Steve Reeves. (2015). Composing Patterns to Construct Secure Systems. Research Commons (University of Waikato). 213–224. 8 indexed citations

17.

Rimba, Paul, Liming Zhu, Xiwei Xu, & Daniel Sun. (2015). Building Secure Applications Using Pattern-Based Design Fragments. 19–24. 2 indexed citations

18.

Rimba, Paul. (2013). Building high assurance secure applications using security patterns for capability-based platforms. International Conference on Software Engineering. 1401–1404. 3 indexed citations

19.

Rimba, Paul. (2013). Building high assurance secure applications using security patterns for capability-based platforms. 2013 35th International Conference on Software Engineering (ICSE). 51. 1401–1404. 2 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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