Malcolm Corney

1.1k total citations
21 papers, 723 citations indexed

About

Malcolm Corney is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Malcolm Corney has authored 21 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 11 papers in Computer Science Applications and 8 papers in Artificial Intelligence. Recurrent topics in Malcolm Corney's work include Teaching and Learning Programming (11 papers), Spam and Phishing Detection (5 papers) and Software Engineering Research (5 papers). Malcolm Corney is often cited by papers focused on Teaching and Learning Programming (11 papers), Spam and Phishing Detection (5 papers) and Software Engineering Research (5 papers). Malcolm Corney collaborates with scholars based in Australia, United States and Finland. Malcolm Corney's co-authors include George Mohay, Alison Anderson, Olivier De Vel, Donna Teague, Raymond Lister, Alireza Ahadi, Andrew E. Clark, Richard Thomas, Laurie Murphy and Renée McCauley and has published in prestigious journals such as Fuel, ACM SIGMOD Record and Industrial Engineering & Management Systems.

In The Last Decade

Malcolm Corney

20 papers receiving 614 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Malcolm Corney Australia 13 438 343 182 77 61 21 723
P.M.E. De Bra Netherlands 11 253 0.6× 328 1.0× 223 1.2× 161 2.1× 118 1.9× 57 644
Christopher Scaffidi United States 16 245 0.6× 374 1.1× 262 1.4× 96 1.2× 50 0.8× 63 768
Rajendra K. Raj United States 11 153 0.3× 304 0.9× 155 0.9× 29 0.4× 62 1.0× 78 566
Ray Bareiss United States 10 346 0.8× 139 0.4× 91 0.5× 101 1.3× 26 0.4× 36 572
Ram B. Basnet United States 15 217 0.5× 145 0.4× 218 1.2× 82 1.1× 24 0.4× 31 547
Andreas Papasalouros Greece 10 253 0.6× 221 0.6× 236 1.3× 139 1.8× 70 1.1× 35 611
Alexey Zagalsky Canada 12 228 0.5× 528 1.5× 397 2.2× 38 0.5× 50 0.8× 15 814
Nell Dale United States 13 116 0.3× 139 0.4× 310 1.7× 148 1.9× 28 0.5× 71 524
Maxim Mozgovoy Japan 12 241 0.6× 141 0.4× 65 0.4× 79 1.0× 40 0.7× 50 464
Filippo Sciarrone Italy 14 252 0.6× 272 0.8× 322 1.8× 127 1.6× 22 0.4× 65 656

Countries citing papers authored by Malcolm Corney

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Corney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Corney

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Corney. A scholar is included among the top collaborators of Malcolm Corney 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 Malcolm Corney. Malcolm Corney 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.
Corney, Malcolm, Sue Fitzgerald, Brian Hanks, et al.. (2014). 'explain in plain english' questions revisited. QUT ePrints (Queensland University of Technology). 591–596. 37 indexed citations
2.
Teague, Donna, Malcolm Corney, Alireza Ahadi, & Raymond Lister. (2013). A qualitative think aloud study of the early neo-piagetian stages of reasoning in novice programmers. Australasian Computing Education Conference. 87–95. 24 indexed citations
3.
Sheard, Judy, Norma P. Simon, Angela Carbone, et al.. (2013). How difficult are exams?: a framework for assessing the complexity of introductory programming exams. Australasian Computing Education Conference. 136. 145–154. 34 indexed citations
4.
Lister, Raymond, Daryl D’Souza, Margaret Hamilton, et al.. (2012). Toward a shared understanding of competency in programming: An invitation to the BABELnot project. QUT ePrints (Queensland University of Technology). 12 indexed citations
5.
Corney, Malcolm, Donna Teague, Alireza Ahadi, & Raymond Lister. (2012). Some empirical results for neo-Piagetian reasoning in novice programmers and the relationship to code explanation questions. QUT ePrints (Queensland University of Technology). 77–86. 22 indexed citations
6.
Teague, Donna, Malcolm Corney, Alireza Ahadi, & Raymond Lister. (2012). Swapping as the Hello World of relational reasoning: replications, reflections and extensions. QUT ePrints (Queensland University of Technology). 87–94. 7 indexed citations
7.
Teague, Donna & Malcolm Corney. (2011). Is anybody there?. ASCILITE Publications. 1239–1243. 1 indexed citations
8.
Corney, Malcolm, Raymond Lister, & Donna Teague. (2011). Early relational reasoning and the novice programmer: swapping as the hello world of relational reasoning. QUT ePrints (Queensland University of Technology). 95–104. 28 indexed citations
9.
Corney, Malcolm, George Mohay, & Andrew E. Clark. (2011). Detection of anomalies from user profiles generated from system logs. QUT ePrints (Queensland University of Technology). 23–32. 15 indexed citations
10.
Teague, Donna & Malcolm Corney. (2011). Is anybody there? bootstrapping attendance with engagement. QUT ePrints (Queensland University of Technology). 1 indexed citations
11.
Corney, Malcolm, Donna Teague, & Richard Thomas. (2010). Engaging students in programming. Australasian Computing Education Conference. 63–72. 30 indexed citations
12.
Corney, Malcolm, et al.. (2009). A role mining inspired approach to representing user behaviour in ERP systems. QUT ePrints (Queensland University of Technology). 3 indexed citations
13.
Corney, Malcolm. (2009). Designing for engagement : building IT systems. QUT ePrints (Queensland University of Technology). 5 indexed citations
14.
Corney, Malcolm, Olivier De Vel, Alison Anderson, & George Mohay. (2003). Gender-preferential text mining of e-mail discourse. 282–289. 101 indexed citations
15.
Corney, Malcolm, et al.. (2002). Language and gender author cohort analysis of e-mail for computer forensics. QUT ePrints (Queensland University of Technology). 25 indexed citations
16.
Vel, Olivier De, Alison Anderson, Malcolm Corney, & George Mohay. (2001). Multi-Topic E-mail Authorship Attribution Forensics. QUT ePrints (Queensland University of Technology). 29 indexed citations
17.
Corney, Malcolm, Alison Anderson, George Mohay, & Olivier De Vel. (2001). Identifying the authors of suspect email. QUT ePrints (Queensland University of Technology). 20 indexed citations
18.
Vel, Olivier De, Alison Anderson, Malcolm Corney, & George Mohay. (2001). Mining e-mail content for author identification forensics. ACM SIGMOD Record. 30(4). 55–64. 303 indexed citations
19.
Corney, Malcolm & P.R.F. Bell. (1988). Retention and degradation of organics in Rundle waste shale/retort water mixtures. Fuel. 67(10). 1378–1381. 1 indexed citations
20.
Bell, P.R.F., et al.. (1984). Evaluation of rundle spent shale as an adsorbent for the treatment of retort water. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 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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