Mark Wallis

626 citations
26 papers · 252 · h-index 7

Impact in

Papers in

Mark Wallis

20 papers receiving 239 citations

Peers

Mark Wallis
Comparison fields: 5 of 65
  • Psychiatry and Mental health 74
  • Endocrine and Autonomic Systems 29
  • Cognitive Neuroscience 82
  • Experimental and Cognitive Psychology 48
  • Accounting 25
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Gavin Ng United States
Anat Ben-Simon Israel
Sarah Fabi Germany
Fabian Lang Germany
John Campbell Canada
Jonathan Tyler United States
Gil Lorenzo Valentín Spain
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006135
2 201836
3 202111
4 200711
5 201311
6 20108
7 20196
8
Web-based support for population-based medical research: presenting the QuON survey system
20145
9 20215
10 20224
11 20233
12 20173
13 20183
14 20202
15 20252
16 20192
17 20142
18 20111
19 20211
20 20181

About Mark Wallis

Mark Wallis is a scholar working on Information Systems, Industrial and Manufacturing Engineering, Computer Networks and Communications, Software and Cognitive Neuroscience, having authored 26 papers that have together received 252 indexed citations. Recurring topics across this work include Digital Transformation in Industry (4 papers), Service-Oriented Architecture and Web Services (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Software Engineering Research (3 papers), Software Reliability and Analysis Research (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Autism Spectrum Disorder Research (2 papers) and Auditing, Earnings Management, Governance (2 papers). The work is most often cited by research in Psychiatry and Mental health (74 citations), Endocrine and Autonomic Systems (29 citations), Cognitive Neuroscience (82 citations), Experimental and Cognitive Psychology (48 citations) and Accounting (25 citations). Mark Wallis has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Joanna Garstang, Margaret A. Abernethy, Frans Henskens, David Paúl, Sam McCrabb, Elizabeth A. Fradgley, Linda Campbell, Claudia Koller, Carmel Loughland and Amanda Baker. Their work appears in journals such as Accounting and Finance, Child Care Health and Development, Digital Investigation, Future Internet and International Journal of Human-Computer Interaction.

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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