Andrew Howes

3.4k citations
107 papers · 1.9k · h-index 25

Impact in

Papers in

Andrew Howes

102 papers receiving 1.8k citations

Peers

Andrew Howes
Comparison fields: 5 of 136
  • General Decision Sciences 148
  • Human-Computer Interaction 434
  • Information Systems and Management 315
  • Cognitive Neuroscience 444
  • Social Psychology 310
Replace John D. McCarthy with:
John D. McCarthy United Kingdom
Wai‐Tat Fu United States
Angelika Dimoka United States
René Riedl‬ Austria
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Howes

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Howes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009124
2 2009119
3 2014115
4 200080
5 200961
6 198650
7 200846
8 202245
9 199643
10 201943
11 199042
12 201141
13 201640
14 201737
15 201936
16 199734
17 199032
18 200132
19 198632
20 201331

About Andrew Howes

Andrew Howes is a scholar working on Artificial Intelligence, Human-Computer Interaction, Social Psychology, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (16 papers), Cognitive Science and Mapping (13 papers), Usability and User Interface Design (12 papers), AI-based Problem Solving and Planning (11 papers), Visual and Cognitive Learning Processes (10 papers), Neural and Behavioral Psychology Studies (9 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers) and Personal Information Management and User Behavior (9 papers). The work is most often cited by research in General Decision Sciences (148 citations), Human-Computer Interaction (434 citations), Information Systems and Management (315 citations), Cognitive Neuroscience (444 citations) and Social Psychology (310 citations). Andrew Howes has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Richard L. Lewis, Duncan P. Brumby, Stephen J. Payne, Alonso Vera, Jens Binder, Richard M. Young, Satinder Singh, Alistair Sutcliffe, Antti Oulasvirta and Dario D. Salvucci. Their work appears in journals such as Cognitive Science, International Journal of Human-Computer Studies, Topics in Cognitive Science, Polyhedron and 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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