Paul Rimba

2.0k citations
19 papers · 1.1k indexed · 2 hit papers · h-index 11
Topics
Blockchain Technology Applications and Security (9 papers)Security and Verification in Computing (5 papers)Cloud Computing and Resource Management (4 papers)
Partner nations
AustraliaChinaSweden

In The Last Decade

Paul Rimba

19 papers receiving 1.1k citations

Hit Papers

A Taxonomy of Blockchain-Based Systems for Architecture D...201720262020202320172018100200300400

Peers

Paul Rimba
Comparison fields: 5 of 78
  • Information Systems 921
  • Computer Networks and Communications 463
  • Artificial Intelligence 255
  • Management Information Systems 191
  • Signal Processing 136
Replace Jianming Zhu with:
Jianming Zhu China
Günther Pernul Germany
Paolo Mori Italy
Mohammad Jabed Morshed Chowdhury Australia
Enrique Soler Spain
Hai Dong Australia
Tooska Dargahi United Kingdom
Muhammad Younas United Kingdom
Alexander Zeier Germany
Faı̈ez Gargouri Tunisia
Paul Rimba relative to Jianming Zhu China Jianming Zhu's profile →
Citations per field
00.5×3.1×
Jianming Zhu · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 49
2 42
3 16
4 1
5 44
6
Data-Driven Cybersecurity Incident Prediction: A Surveybreakdown →
236
7 4
8 101
9
Regerator: a Registry Generator for Blockchain.
20
10 70
11 7
12 55
13
A Taxonomy of Blockchain-Based Systems for Architecture Designbreakdown →
427
14 24
15 4
16 8
17 2
18 3
19 2

About Paul Rimba

Paul Rimba is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (9 papers), Security and Verification in Computing (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Information Systems (921 citations), Management Information Systems (191 citations) and Computer Networks and Communications (463 citations). Paul Rimba has collaborated with scholars based in Australia, China and Sweden. Frequent 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. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Computers & Security and Information Systems Frontiers.

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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