John Mack

420 citations
22 papers · 315 · h-index 10

Impact in

Papers in

John Mack

20 papers receiving 296 citations

Peers

John Mack
Comparison fields: 5 of 89
  • Modeling and Simulation 29
  • Control and Systems Engineering 112
  • Pollution 36
  • Theoretical Computer Science 3
  • Industrial and Manufacturing Engineering 22
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Citations per year

Countries citing papers authored by John Mack

Since Specialization
Citations

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

Fields of papers citing papers by John Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Mack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Mack Line = papers co-authored together John Mack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201082
2 197541
3 201933
4
Mathematics preparation for university: entry, pathways and impact on performance in first year science and mathematics subjects
201528
5
Declines in High School Mathematics and Science Participation: Evidence of Students’ and Future Teachers’ Disengagement with Maths
201426
6 201818
7 202218
8 201712
9
Stagnation, decline and gender disparity in participation in NSW HSC mathematics and science combinations
201311
10 19709
11 20207
12 19777
13
Improved Energy Efficiency in Paper Making Through Reducing Dryer Steam Consumption Using Advanced Process Control
20115
14 20234
15
Establishing the science foundation to sustain high-elevation five-needle pine forests threatened by novel interacting stresses in four western National Parks
20133
16 19703
17 20183
18
The tree in Pythagoras' garden
20102
19 19721
20 20101

About John Mack

John Mack is a scholar working on Control and Systems Engineering, Modeling and Simulation, Computational Theory and Mathematics, Mechanical Engineering and Education, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Fault Detection and Control Systems (5 papers), Mathematics Education and Programs (3 papers), Education Systems and Policy (3 papers), Mineral Processing and Grinding (3 papers), Advanced Control Systems Design (2 papers), Numerical Methods and Algorithms (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Modeling and Simulation (29 citations), Control and Systems Engineering (112 citations), Pollution (36 citations), Theoretical Computer Science (3 citations) and Industrial and Manufacturing Engineering (22 citations). John Mack has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David Lovett, Rachel Wilson, Donald W. Barnes, Barry Lennox, Furqan Tahir, Jackie Nicholas, L. Poladian, John Robertson, Muhammad T. Islam and Yusuf A. Sha’aban. Their work appears in journals such as Control Engineering Practice, Computers & Chemical Engineering, IEEE Access, Food and Bioproducts Processing and Bulletin of the Australian Mathematical Society.

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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