Daniel Bothell

3.1k citations
12 papers · 1.8k indexed · 1 hit paper · h-index 6
Topics
Neural and Behavioral Psychology Studies (5 papers)Intelligent Tutoring Systems and Adaptive Learning (5 papers)Cognitive Science and Mapping (3 papers)

In The Last Decade

Daniel Bothell

10 papers receiving 1.6k citations

Hit Papers

An Integrated Theory of the Mind.2004202620112018200450010001.5k

Peers

Daniel Bothell
Comparison fields: 5 of 123
  • Artificial Intelligence 767
  • Cognitive Neuroscience 658
  • Social Psychology 385
  • Developmental and Educational Psychology 310
  • Experimental and Cognitive Psychology 258
Replace Scott Douglass with:
Scott Douglass United States
Ron Sun United States
Iris van Rooij Netherlands
David E. Meyer United States
James N. MacGregor Canada
Yuichiro Anzai Japan
Alonso Vera United States
Michael Matessa United States
Stephen J. Payne United Kingdom
Kim‐Phuong L. Vu United States
Daniel Bothell relative to Scott Douglass United States Scott Douglass's profile →
Citations per field
00.5×1.5×
Scott Douglass · 1×
Citations per year

Countries citing papers authored by Daniel Bothell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bothell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Bothell

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Bothell. A scholar is included among the top collaborators of Daniel Bothell 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 Daniel Bothell. Daniel Bothell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 19
3 0
4 0
5 5
6 4
7 20
8 11
9
Competitive Modeling Symposium: PokerBot World Series.
3
10
Modelling performance in the sustained attention to response task
42
11
An Integrated Theory of the Mind.breakdown →
1699
12 2

About Daniel Bothell

Daniel Bothell is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Human-Computer Interaction, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Cognitive Science and Mapping (3 papers). The work is most often cited by research in General Decision Sciences (81 citations), Cognitive Neuroscience (658 citations) and Developmental and Educational Psychology (310 citations). Daniel Bothell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John R. Anderson, Christian Lebière, Yulin Qin, Scott Douglass, Michael D. Byrne, David Peebles, Shawn Betts, Jon M. Fincham, Ben Poole and Wai‐Tat Fu. Their work appears in journals such as Psychological Review, Neuropsychologia and Journal of Cognitive Neuroscience.

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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