Beau G. Schelble

1.2k citations
26 papers · 721 indexed · 1 hit paper · h-index 12
Topics
Human-Automation Interaction and Safety (22 papers)Ethics and Social Impacts of AI (14 papers)Team Dynamics and Performance (12 papers)

In The Last Decade

Beau G. Schelble

24 papers receiving 694 citations

Hit Papers

Human–Autonomy Teaming: A Review and Analysis of the Empi...2020202620222024202050100150200250

Peers

Beau G. Schelble
Comparison fields: 5 of 68
  • Social Psychology 448
  • Safety Research 274
  • Artificial Intelligence 204
  • Health Informatics 75
  • Management Information Systems 62
Replace Christopher Flathmann with:
Christopher Flathmann United States
Gagan Bansal United States
Regina A. Pomranky United States
Marieke Peeters Netherlands
Kosa Goucher-Lambert United States
Shih‐Yi Chien United States
David Lamas Estonia
Stephanie Houde United States
Mahtab Ghazizadeh United States
Jilles Smids Netherlands
Beau G. Schelble relative to Christopher Flathmann United States Christopher Flathmann's profile →
Citations per field
00.5×
Christopher Flathmann · 1×
Citations per year

Countries citing papers authored by Beau G. Schelble

Since Specialization
Citations

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

Fields of papers citing papers by Beau G. Schelble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beau G. Schelble. 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 Beau G. Schelble. The network helps show where Beau G. Schelble may publish in the future.

Co-authorship network of co-authors of Beau G. Schelble

This figure shows the co-authorship network connecting the top 25 collaborators of Beau G. Schelble. A scholar is included among the top collaborators of Beau G. Schelble based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beau G. Schelble. Beau G. Schelble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 5
5 9
6 13
7 5
8 35
9 13
10 3
11 39
12 16
13 55
14 45
15 70
16 54
17 6
18
Human–Autonomy Teaming: A Review and Analysis of the Empirical Literaturebreakdown →
265
19 24
20 5

About Beau G. Schelble

Beau G. Schelble is a scholar working on Health Informatics, Safety Research and Social Psychology, having authored 26 papers that have together received 721 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (22 papers), Ethics and Social Impacts of AI (14 papers) and Team Dynamics and Performance (12 papers). The work is most often cited by research in Health Informatics (75 citations), Safety Research (274 citations) and Social Psychology (448 citations). Beau G. Schelble has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Nathan J. McNeese, Tom O’Neill, Christopher Flathmann, Guo Freeman, Kapil Chalil Madathil, Richard Pak, Rui Zhang, Patrick J. Rosopa, Bart P. Knijnenburg and Rui Zhang. Their work appears in journals such as Computers in Human Behavior, Human Factors The Journal of the Human Factors and Ergonomics Society and Ergonomics.

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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