Malcolm Rutter

511 total citations
28 papers, 380 citations indexed

About

Malcolm Rutter is a scholar working on Education, Information Systems and Management and Computational Mechanics. According to data from OpenAlex, Malcolm Rutter has authored 28 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 9 papers in Information Systems and Management and 8 papers in Computational Mechanics. Recurrent topics in Malcolm Rutter's work include Online and Blended Learning (13 papers), Advanced Adaptive Filtering Techniques (8 papers) and Technology Adoption and User Behaviour (8 papers). Malcolm Rutter is often cited by papers focused on Online and Blended Learning (13 papers), Advanced Adaptive Filtering Techniques (8 papers) and Technology Adoption and User Behaviour (8 papers). Malcolm Rutter collaborates with scholars based in United Kingdom and Saudi Arabia. Malcolm Rutter's co-authors include Sally Smith, Sami Saeed Binyamin, David Benyon, P.M. Grant, D. Renshaw, P.B. Denyer, Peter Grant, Stewart Smith and C.F.N. Cowan and has published in prestigious journals such as Electronics Letters, International Journal of Emerging Technologies in Learning (iJET) and Journal of Information Technology Education Research.

In The Last Decade

Malcolm Rutter

24 papers receiving 346 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 Rutter United Kingdom 11 173 169 95 85 60 28 380
Thomas Lancaster United Kingdom 16 124 0.7× 110 0.7× 133 1.4× 182 2.1× 101 1.7× 45 814
Weijia Ran United States 8 64 0.4× 92 0.5× 71 0.7× 59 0.7× 79 1.3× 15 341
Masita Abdul Jalil Malaysia 9 209 1.2× 90 0.5× 185 1.9× 144 1.7× 24 0.4× 37 436
Ahmad Abu-Al-Aish Jordan 6 165 1.0× 127 0.8× 212 2.2× 55 0.6× 39 0.7× 11 407
Andrew Asher United States 11 63 0.4× 75 0.4× 253 2.7× 63 0.7× 85 1.4× 37 525
Aijaz Ahmed Arain Pakistan 6 160 0.9× 87 0.5× 98 1.0× 66 0.8× 40 0.7× 8 298
Weiwei Tan Canada 6 291 1.7× 128 0.8× 63 0.7× 75 0.9× 38 0.6× 9 403
Rahila Umer Pakistan 8 73 0.4× 80 0.5× 55 0.6× 62 0.7× 126 2.1× 19 364
Qusay Al-Maatouk Malaysia 10 146 0.8× 116 0.7× 90 0.9× 70 0.8× 60 1.0× 28 368
Maryam Nasser Al-Nuaimi Oman 7 108 0.6× 91 0.5× 61 0.6× 57 0.7× 44 0.7× 14 251

Countries citing papers authored by Malcolm Rutter

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Rutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Rutter

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Rutter. A scholar is included among the top collaborators of Malcolm Rutter 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 Rutter. Malcolm Rutter 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.
Rutter, Malcolm, et al.. (2020). The Moderating Effects of Experience and Training on Students’ Use of a Learning Management System. International Journal of Information and Education Technology. 10(9). 685–693. 5 indexed citations
2.
Rutter, Malcolm, et al.. (2020). The Effects of Gender and Age on Students’ Use of a Learning Management System in Saudi Arabia. International Journal of Learning and Teaching. 135–145. 6 indexed citations
3.
Rutter, Malcolm, et al.. (2020). The Effects of UTAUT and Usability Qualities on Students’ Use of Learning Management Systems in Saudi Tertiary Education. Journal of Information Technology Education Research. 19. 891–930. 23 indexed citations
4.
Binyamin, Sami Saeed, et al.. (2020). The moderating effect of gender and age on the students’ acceptance of learning management systems in Saudi higher education. Knowledge Management & E-Learning An International Journal. 30–62. 18 indexed citations
5.
Binyamin, Sami Saeed, et al.. (2019). THE INFLUENCE OF USABILITY ATTRIBUTES ON STUDENTS’ USE OF LEARNING MANAGEMENT SYSTEMS: A THEORETICAL FRAMEWORK. EDULEARN proceedings. 1. 10608–10619. 3 indexed citations
6.
Rutter, Malcolm, et al.. (2019). ASSESSING THE RELATIVE IMPORTANCE OF AN E-LEARNING SYSTEM’S USABILITY DESIGN CHARACTERISTICS BASED ON STUDENTS' PREFERENCES. EDULEARN proceedings. 1. 5325–5325. 18 indexed citations
7.
Rutter, Malcolm, et al.. (2019). Assessing the Relative Importance of an E-learning system’s Usability Design Characteristics Based on Students' Preferences. European Journal of Educational Research. 8(3). 839–855. 45 indexed citations
8.
Binyamin, Sami Saeed, Malcolm Rutter, & Sally Smith. (2019). Extending the Technology Acceptance Model to Understand Students’ Use of Learning Management Systems in Saudi Higher Education. International Journal of Emerging Technologies in Learning (iJET). 14(3). 4–4. 105 indexed citations
9.
Binyamin, Sami Saeed, Malcolm Rutter, & Sally Smith. (2018). The Influence of Computer Self-efficacy and Subjective Norms on the Students’ Use of Learning Management Systems at King Abdulaziz University. International Journal of Information and Education Technology. 8(10). 693–699. 39 indexed citations
10.
Rutter, Malcolm, et al.. (2015). A critical analysis of e-government evaluation models at national and local municipal levels. Research Output (Edinburgh Napier University). 13(1). 12 indexed citations
11.
Rutter, Malcolm, et al.. (2014). A Comparative Approach To Web Evaluation And Website Evaluation Methods. Research Output (Edinburgh Napier University). 10(1). 22 indexed citations
12.
Rutter, Malcolm. (2009). Messenger in The Barn: networking in a learning environment. Research in Learning Technology. 17(1). 3 indexed citations
13.
Rutter, Malcolm, et al.. (2006). PEDESTRIAN SENSING WITH FEATURE EXTRACTION. Research Output (Edinburgh Napier University). 2 indexed citations
14.
Rutter, Malcolm. (2006). Tutorial chat: a case study of synchronous communication in a learning environment. Research in Learning Technology. 12(3). 1 indexed citations
15.
Rutter, Malcolm, Peter Grant, D. Renshaw, & P.B. Denyer. (2005). "Design and realisation of adaptive lattice filters". 8. 21–24. 2 indexed citations
16.
Smith, Stewart, C.F.N. Cowan, & Malcolm Rutter. (2005). A new structure for adaptive echo cancellation. 8. 49–52.
17.
Rutter, Malcolm & P.M. Grant. (1985). Timed gradient adaptive lattice equaliser. IEE Proceedings F Communications, Radar and Signal Processing. 132(3). 181–186.
18.
Rutter, Malcolm & P.M. Grant. (1985). Timed gradient adaptive lattice equaliser. IEE Proceedings F Communications Radar and Signal Processing. 132(3). 181–181.
19.
Grant, P.M. & Malcolm Rutter. (1984). Application of gradient adaptive lattice filters to channel equalisation. IEE Proceedings F Communications, Radar and Signal Processing. 131(5). 473–479. 1 indexed citations
20.
Rutter, Malcolm & P.M. Grant. (1983). Generation of codes with good autocorrelation properties. Electronics Letters. 19(15). 571–572. 10 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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