Russel Pears

1.1k total citations
61 papers, 568 citations indexed

About

Russel Pears is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Russel Pears has authored 61 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 23 papers in Information Systems and 22 papers in Signal Processing. Recurrent topics in Russel Pears's work include Data Stream Mining Techniques (16 papers), Time Series Analysis and Forecasting (14 papers) and Data Mining Algorithms and Applications (13 papers). Russel Pears is often cited by papers focused on Data Stream Mining Techniques (16 papers), Time Series Analysis and Forecasting (14 papers) and Data Mining Algorithms and Applications (13 papers). Russel Pears collaborates with scholars based in New Zealand, Pakistan and Netherlands. Russel Pears's co-authors include Yun Sing Koh, M. Asif Naeem, Andy M. Connor, Gillian Dobbie, A.C.M. Fong, Stephen G. MacDonell, Nikola Kasabov, Dilip Kumar Limbu, Wai K. Yeap and Farhaan Mirza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Russel Pears

59 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russel Pears New Zealand 13 305 182 107 99 61 61 568
Qingping Tan China 10 155 0.5× 163 0.9× 40 0.4× 105 1.1× 77 1.3× 60 515
John S. Breese United States 6 483 1.6× 102 0.6× 57 0.5× 85 0.9× 76 1.2× 6 645
Ridha Khédri Canada 12 191 0.6× 173 1.0× 62 0.6× 107 1.1× 18 0.3× 54 429
Marco Valtorta United States 13 332 1.1× 80 0.4× 61 0.6× 93 0.9× 86 1.4× 51 529
Andrzej Janusz Poland 13 309 1.0× 164 0.9× 100 0.9× 43 0.4× 57 0.9× 48 577
Dhirendra Pandey India 11 109 0.4× 269 1.5× 59 0.6× 122 1.2× 49 0.8× 31 467
George Karabatis United States 14 283 0.9× 214 1.2× 239 2.2× 315 3.2× 75 1.2× 41 623
Marco Gavanelli Italy 13 342 1.1× 117 0.6× 35 0.3× 121 1.2× 43 0.7× 79 546
Iryna Yevseyeva United Kingdom 15 155 0.5× 240 1.3× 67 0.6× 110 1.1× 48 0.8× 54 521
Wael Alosaimi Saudi Arabia 15 186 0.6× 194 1.1× 61 0.6× 198 2.0× 35 0.6× 48 618

Countries citing papers authored by Russel Pears

Since Specialization
Citations

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

Fields of papers citing papers by Russel Pears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russel Pears

This figure shows the co-authorship network connecting the top 25 collaborators of Russel Pears. A scholar is included among the top collaborators of Russel Pears 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 Russel Pears. Russel Pears 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.
Naeem, M. Asif, et al.. (2021). Multi-interest semantic changes over time in short-text microblogs. Knowledge-Based Systems. 228. 107249–107249. 3 indexed citations
2.
Pears, Russel, et al.. (2020). Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining. Expert Systems with Applications. 152. 113380–113380. 15 indexed citations
3.
Pears, Russel, et al.. (2017). An evolving spatio-temporal approach for gender and age group classification with Spiking Neural Networks. Evolving Systems. 9(2). 145–156. 6 indexed citations
4.
Pears, Russel, et al.. (2016). Capturing recurring concepts using discrete Fourier transform. Concurrency and Computation Practice and Experience. 28(15). 4013–4035. 4 indexed citations
5.
Liu, William, et al.. (2015). Measuring Cascading Failures for Smart Grids Vulnerability Assessment. 384–389. 2 indexed citations
6.
Pears, Russel, et al.. (2015). Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams. AUT Scholarly Commons. 3. 1–8. 7 indexed citations
7.
Pears, Russel, et al.. (2014). A graph based approach to inferring item weights for pattern mining. Expert Systems with Applications. 42(1). 451–461. 3 indexed citations
8.
Pears, Russel, et al.. (2014). Detecting concept change in dynamic data streams. Machine Learning. 97(3). 259–293. 66 indexed citations
9.
Fong, A.C.M., et al.. (2013). Dynamic Symbolic Execution Guided by Data Dependency Analysis for High Structural Coverage. International Conference on Software Engineering. 3–15. 2 indexed citations
10.
Liu, William, et al.. (2013). Cascade effects of load shedding in coupled networks. 1–6. 1 indexed citations
11.
Pears, Russel, et al.. (2012). Data guided approach to generate multi-dimensional schema for targeted knowledge discovery. 229–240. 4 indexed citations
12.
Pears, Russel, Yun Sing Koh, Gillian Dobbie, & Wai K. Yeap. (2012). Weighted association rule mining via a graph based connectivity model. Information Sciences. 218. 61–84. 33 indexed citations
13.
Connor, Andy M., et al.. (2011). Mining Software Metrics from Jazz. Tuwhera (Auckland University of Technology). 39–45. 11 indexed citations
14.
Fong, A.C.M., et al.. (2011). HOW EFFECTIVE IS MODEL CHECKING IN PRACTICE?. 239–244.
15.
Pears, Russel, et al.. (2010). A methodology for integrating and exploiting data mining techniques in the design of data warehouses. AUT Scholarly Commons. 361–367. 4 indexed citations
16.
Connor, Andy M., Dilip Kumar Limbu, Stephen G. MacDonell, & Russel Pears. (2010). Improving web information retrieval using shared contexts. AUT Scholarly Commons. 2 indexed citations
17.
Koh, Yun Sing & Russel Pears. (2009). Non-redundant rare itemset generation. AUT Scholarly Commons. 101. 69–74. 1 indexed citations
18.
Koh, Yun Sing & Russel Pears. (2008). Rare association rule mining via transaction clustering. Tuwhera (Auckland University of Technology). 88. 87–94. 12 indexed citations
19.
20.
Pears, Russel, et al.. (2007). FGC: An Efficient Constraint Based Frequent Set Miner. Tuwhera (Auckland University of Technology). 424–431. 1 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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