Michael Newby

17 papers receiving 486 citations

Peers

Michael Newby
Comparison fields: 5 of 69
  • Information Systems and Management 163
  • Organizational Behavior and Human Resource Management 134
  • Strategy and Management 109
  • Management Information Systems 103
  • Sociology and Political Science 101
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Citations per year

Countries citing papers authored by Michael Newby

Since Specialization
Citations

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

Fields of papers citing papers by Michael Newby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Newby

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 9
3 42
4 189
5
Understanding Customer Relationship Management (CRM) Technology Adoption In SMEs: An Empirical Study In The USA
4
6 7
7
Using the Same Problem with Different Techniques in Programming Assignments: An Empirical Study of Its Effectiveness.
6
8 37
9 3
10 170
11
An Empirical Study Comparing the Learning Environments of Open and Closed Computer Laboratories
10
12 3
13
A Comparison between the Learning Environments of Open and Closed Computer Laboratories.
1
14
A Model of the Relationship between Teacher and Student Perceptions of Classroom Interactions.
1
15
20
16
The Association between Computer Laboratory Environment and Student Outcomes
6
17 38
18 1
19
The Structure of English: A Handbook of English Grammar
3

About Michael Newby

Michael Newby is a scholar working on Information Systems and Management, Media Technology and Education, having authored 19 papers that have together received 552 indexed citations. Recurring topics across this work include Educational Environments and Student Outcomes (7 papers), Online and Blended Learning (6 papers) and Experimental Learning in Engineering (4 papers). The work is most often cited by research in Information Systems and Management (163 citations), Organizational Behavior and Human Resource Management (134 citations) and Management Information Systems (103 citations). Michael Newby has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include ThuyUyen H. Nguyen, Michael Macaulay, Joseph S. Sherif, Darrell Fisher, Teresa Waring, Kim S. Elliott, Marco Menegotto, Adam Behr, Scott Moreland and William J. Reid. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Small Business Management and Economic Modelling.

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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