Steve Versteeg

2.2k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Steve Versteeg is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Steve Versteeg has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 23 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Steve Versteeg's work include Software System Performance and Reliability (12 papers), Service-Oriented Architecture and Web Services (11 papers) and Advanced Software Engineering Methodologies (10 papers). Steve Versteeg is often cited by papers focused on Software System Performance and Reliability (12 papers), Service-Oriented Architecture and Web Services (11 papers) and Advanced Software Engineering Methodologies (10 papers). Steve Versteeg collaborates with scholars based in Australia, China and New Zealand. Steve Versteeg's co-authors include Rajkumar Buyya, Saurabh Garg, Lynn Batten, Ronghua Tian, Rafiqul Islam, Hongyu Zhang, Liang Gong, Linlin Wu, Jun Han and Jean-Guy Schneider and has published in prestigious journals such as IEEE Access, IEEE Transactions on Software Engineering and Future Generation Computer Systems.

In The Last Decade

Steve Versteeg

28 papers receiving 1.4k citations

Hit Papers

A framework for ranking of cloud computing services 2012 2026 2016 2021 2012 200 400 600
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.

  1. A framework for ranking of cloud computing services
    2012 610 citations Saurabh Garg, Steve Versteeg et al. Future Generation Computer Systems profile →

Peers

Steve Versteeg
Akond Rahman United States
Alessandro Margara Italy
Umberto Villano Italy
Abdelwahab Hamou‐Lhadj Canada
Archana Ganapathi United States
Anoop Singhal United States
R. G. G. Cattell United States
Pratyusa K. Manadhata United States
Larry Kerschberg United States
Akond Rahman United States
Steve Versteeg
Citations per year, relative to Steve Versteeg Steve Versteeg (= 1×) peers Akond Rahman

Countries citing papers authored by Steve Versteeg

Since Specialization
Citations

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

Fields of papers citing papers by Steve Versteeg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Versteeg

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Versteeg. A scholar is included among the top collaborators of Steve Versteeg 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 Steve Versteeg. Steve Versteeg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Jiaojiao, et al.. (2019). A positional keyword-based approach to inferring fine-grained message formats. Future Generation Computer Systems. 102. 369–381. 6 indexed citations
2.
Jiang, Jiaojiao, et al.. (2019). P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages. IEEE Access. 7. 88504–88516. 6 indexed citations
3.
Versteeg, Steve, et al.. (2018). Mining accurate message formats for service APIs. Swinburne Research Bank (Swinburne University of Technology). 266–276. 9 indexed citations
4.
Dietrich, Jens, et al.. (2018). GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing. Lincoln University Research Archive (Lincoln University). 123–130.
5.
Versteeg, Steve, et al.. (2017). Service virtualisation of internet-of-things devices: techniques and challenges. International Conference on Software Engineering. 32–35. 6 indexed citations
6.
Yu, Jian, et al.. (2016). A Petri-Net-Based Virtual Deployment Testing Environment for Enterprise Software Systems. The Computer Journal. 60(1). 27–44. 1 indexed citations
7.
He, Qiang, Jun Han, Yun Yang, et al.. (2013). Formulating Cost-Effective Monitoring Strategies for Service-Based Systems. IEEE Transactions on Software Engineering. 40(5). 461–482. 24 indexed citations
8.
Du, Miao, et al.. (2013). Generating service models by trace subsequence substitution. Swinburne Research Bank (Swinburne University of Technology). 123–132. 11 indexed citations
9.
Wu, Linlin, Saurabh Garg, Steve Versteeg, & Rajkumar Buyya. (2013). SLA-Based Resource Provisioning for Hosted Software-as-a-Service Applications in Cloud Computing Environments. IEEE Transactions on Services Computing. 7(3). 465–485. 109 indexed citations
10.
Zhang, Hongyu, Liang Gong, & Steve Versteeg. (2013). Predicting bug-fixing time: An empirical study of commercial software projects. 2013 35th International Conference on Software Engineering (ICSE). 100 indexed citations
11.
Islam, Rafiqul, Ronghua Tian, Lynn Batten, & Steve Versteeg. (2012). Classification of malware based on integrated static and dynamic features. Journal of Network and Computer Applications. 36(2). 646–656. 187 indexed citations
12.
Garg, Saurabh, Steve Versteeg, & Rajkumar Buyya. (2012). A framework for ranking of cloud computing services. Future Generation Computer Systems. 29(4). 1012–1023. 610 indexed citations breakdown →
13.
He, Qiang, Jun Han, Yun Yang, et al.. (2012). Probabilistic Critical Path Identification for Cost-Effective Monitoring of Service-Based Systems. Figshare. 10. 178–185. 8 indexed citations
14.
Versteeg, Steve, et al.. (2012). Emulation of Cloud-Scale Environments for Scalability Testing. Swinburne Research Bank (Swinburne University of Technology). 2008. 201–209. 2 indexed citations
15.
Han, Jun, et al.. (2011). Run-time management and optimization of web service monitoring systems. Swinburne Research Bank (Swinburne University of Technology). 1–6. 2 indexed citations
16.
Islam, Rafiqul, Ronghua Tian, Lynn Batten, & Steve Versteeg. (2010). Classification of Malware Based on String and Function Feature Selection. 9–17. 52 indexed citations
17.
Schneider, Jean-Guy, et al.. (2010). Modelling Enterprise System Protocols and Trace Conformance. Figshare. 35–44. 5 indexed citations
18.
Tian, Ronghua, Lynn Batten, Rafiqul Islam, & Steve Versteeg. (2009). An automated classification system based on the strings of trojan and virus families. 23–30. 84 indexed citations
19.
Han, Jun, et al.. (2009). SOABSE: An approach to realizing business-oriented security requirements with Web Service security policies. Swinburne Research Bank (Swinburne University of Technology). 1 indexed citations
20.
Batten, Lynn, et al.. (2008). Function length as a tool for malware classification. 69–76. 82 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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