Jamie Macbeth

30 papers receiving 683 citations

Peers

Jamie Macbeth
Comparison fields: 5 of 68
  • Human-Computer Interaction 77
  • Computer Science Applications 37
  • Social Psychology 133
  • Information Systems 145
  • Gender Studies 63
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Richard N. Van Eck United States
Vânia Paula de Almeida Néris Brazil
Yasemin Copur‐Gencturk United States
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Heidi Schelhowe Germany
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Citations per year

Countries citing papers authored by Jamie Macbeth

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Macbeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016210
2 2016100
3 201669
4 202038
5 202337
6 201530
7 201828
8 201027
9 201427
10 201622
11
Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression.
201621
12
Modeling the Impact of Operator Trust on Performance in Multiple Robot Control
201319
13 201518
14 201314
15 201211
16 201210
17 20195
18 20054
19 20122
20 20162

About Jamie Macbeth

Jamie Macbeth is a scholar working on Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology, Computer Networks and Communications and Language and Linguistics, having authored 37 papers that have together received 708 indexed citations. Recurring topics across this work include Categorization, perception, and language (6 papers), Human-Automation Interaction and Safety (5 papers), Natural Language Processing Techniques (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Syntax, Semantics, Linguistic Variation (3 papers), Language, Metaphor, and Cognition (2 papers), Bullying, Victimization, and Aggression (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Human-Computer Interaction (77 citations), Computer Science Applications (37 citations), Social Psychology (133 citations), Information Systems (145 citations) and Gender Studies (63 citations). Jamie Macbeth has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Desmond U. Patton, Margaret Burnett, Irwin Kwan, Laura Beckwith, Stephann Makri, Simone Stumpf, Anicia Nicola Peters, Mary L. Cummings, Robin Marie Kowalski and Jeffrey Lane. Their work appears in journals such as AI Magazine, Interacting with Computers, Journal of Human Behavior in the Social Environment, IEEE Transactions on Human-Machine Systems and Contemporary Justice Review.

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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