M. Max Evans

13 papers receiving 237 citations

Peers

M. Max Evans
Comparison fields: 5 of 58
  • Communication 136
  • Information Systems and Management 43
  • Organizational Behavior and Human Resource Management 42
  • Strategy and Management 62
  • Management of Technology and Innovation 20
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Bowen Zheng China
Sharimllah Devi Ramachandran Malaysia
Reed Stuedemann United States
Chunke Su United States
Hannah Kremer United States
Mei‐Lien Young Taiwan
Jerzy Gołuchowski Poland
Maria Jakubik Finland
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Citations per year

Countries citing papers authored by M. Max Evans

Since Specialization
Citations

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

Fields of papers citing papers by M. Max Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Max Evans. 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 M. Max Evans. The network helps show where M. Max Evans may publish in the future.

Co-authors

The 6 scholars most cited alongside M. Max Evans, 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 M. Max Evans Line = papers co-authored together M. Max Evans links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
A Holistic View of the Knowledge Life Cycle: The Knowledge Management Cycle (KMC) Model
201490
2 201762
3 202131
4 201322
5
The Mediating Effects of Trustworthiness on Social‑Cognitive Factors and Knowledge Sharing in a Large Professional Service Firm
201517
6 201512
7
The Strength of Trust Over Ties: Investigating the Relationships between Trustworthiness and Tie‑Strength in Effective Knowledge Sharing
20197
8 20185
9 20184
10 20223
11 20162
12 20192
13 20231
14 20230

About M. Max Evans

M. Max Evans is a scholar working on Communication, Sociology and Political Science, Information Systems and Management, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 14 papers that have together received 258 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (8 papers), Organizational and Employee Performance (3 papers), Social Capital and Networks (3 papers), Technology Adoption and User Behaviour (3 papers), Design Education and Practice (2 papers), Intellectual Capital and Performance Analysis (2 papers), Language, Metaphor, and Cognition (2 papers) and Writing and Handwriting Education (1 paper). The work is most often cited by research in Communication (136 citations), Information Systems and Management (43 citations), Organizational Behavior and Human Resource Management (42 citations), Strategy and Management (62 citations) and Management of Technology and Innovation (20 citations). M. Max Evans has collaborated with scholars based in Canada, Netherlands and Switzerland. Frequent co-authors include Kimiz Dalkir, Anthony Wensley, Ilja Frissen, Juan‐Gabriel Cegarra‐Navarro, Saša Batistič and Chun Wei Choo. Their work appears in journals such as Knowledge and Process Management, Visual Communication, Journal of Business Research, Education for Information and Metaphor and Symbol.

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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