Mark Wallis

626 citations
34 papers · 332 · h-index 9

Impact in

Papers in

Mark Wallis

28 papers receiving 306 citations

Peers

Mark Wallis
Comparison fields: 5 of 72
  • Psychiatry and Mental health 85
  • Cognitive Neuroscience 96
  • Endocrine and Autonomic Systems 31
  • Experimental and Cognitive Psychology 54
  • Industrial and Manufacturing Engineering 43
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Fabian Lang Germany
Eva Ström Finland
Stephen A. Zinkgraf United States
Florian Pargent Germany
Gavin Ng United States
Zdeněk Šulc Czechia
Kyungwon Kim South Korea
Jonathan Tyler United States
Sarah Fabi Germany
Philipp Schäper Germany
Mark Wallis relative to Fabian Lang Germany Fabian Lang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Wallis

Since Specialization
Citations

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

Fields of papers citing papers by Mark Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Wallis, 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 Mark Wallis Line = papers co-authored together Mark Wallis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006151
2 201837
3 201916
4 201814
5 200713
6 202112
7 201312
8 20109
9 20208
10 20196
11 20186
12
Web-based support for population-based medical research: presenting the QuON survey system
20145
13 20215
14 20225
15 20204
16 20224
17 20233
18 20173
19 20103
20 20193

About Mark Wallis

Mark Wallis is a scholar working on Information Systems, Industrial and Manufacturing Engineering, Computer Networks and Communications, Accounting and Software, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Digital Transformation in Industry (6 papers), Service-Oriented Architecture and Web Services (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Software Engineering Research (3 papers), Software Reliability and Analysis Research (3 papers), Software System Performance and Reliability (2 papers) and Credit Risk and Financial Regulations (2 papers). The work is most often cited by research in Psychiatry and Mental health (85 citations), Cognitive Neuroscience (96 citations), Endocrine and Autonomic Systems (31 citations), Experimental and Cognitive Psychology (54 citations) and Industrial and Manufacturing Engineering (43 citations). Mark Wallis has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Joanna Garstang, Frans Henskens, Margaret A. Abernethy, David Paúl, Adrian Gepp, Kuldeep Kumar, Billie Bonevski, Sam McCrabb, Mariko Carey and Claudia Koller. Their work appears in journals such as Child Care Health and Development, Digital Investigation, Journal of Management Accounting Research, International Journal of Human-Computer Interaction and Accounting and Finance.

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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