James B. Marshall

22 papers receiving 248 citations

Peers

James B. Marshall
Comparison fields: 5 of 76
  • Artificial Intelligence 144
  • Cognitive Neuroscience 74
  • Developmental and Educational Psychology 51
  • Social Psychology 44
  • Computer Science Applications 41
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Countries citing papers authored by James B. Marshall

Since Specialization
Citations

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

Fields of papers citing papers by James B. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James B. Marshall. 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 James B. Marshall. The network helps show where James B. Marshall may publish in the future.

Co-authorship network of co-authors of James B. Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of James B. Marshall. A scholar is included among the top collaborators of James B. Marshall 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 James B. Marshall. James B. Marshall 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 1
2 0
3
n-Modular Redundant Real-Time Middleware: Design and Implementation.
1
4 25
5 8
6 14
7
Category-Based Intrinsic Motivation
6
8
Leveraging the Singularity: Introducing AI to Liberal Arts Students
2
9
Advanced Robotics Projects For Undergraduate Students
12
10 9
11
The Multiple Roles of Anticipation in Developmental Robotics
4
12
Beyond Copycat: Incorporating Self-Watching into a Computer Model of High-Level Perception and Analogy-Making
2
13 33
14
An Emergent Framework For Self-Motivation In Developmental Robotics
37
15
Self-Motivated, Task-Independent Reinforcement Learning for Robots
5
16
Metacat: a self-watching cognitive architecture for analogy-making and high-level perception
21
17 3
18
Exploring the Symbolic/Subsymbolic Continuum: A case study of RAAM
35
19
Drug Control. Impact of DoDs Detection and Monitoring on Cocaine Flow
1
20 49

About James B. Marshall

James B. Marshall is a scholar working on Computer Science Applications, Hardware and Architecture and Artificial Intelligence, having authored 23 papers that have together received 296 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and Teaching and Learning Programming (4 papers). The work is most often cited by research in Computer Science Applications (41 citations), Artificial Intelligence (144 citations) and Developmental and Educational Psychology (51 citations). James B. Marshall has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Douglas Blank, Lisa Meeden, Kent H. Marquis, Stuart Oskamp, Douglas R. Hofstadter, Keith J. O’Hara, Deepak Kumar, Riccardo Manzotti, Walker and Joshua M. Lewis. Their work appears in journals such as Journal of Applied Social Psychology, ACM Transactions on Embedded Computing Systems and Journal of Experimental & Theoretical Artificial Intelligence.

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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