James B. Marshall

544 total citations
23 papers, 296 citations indexed

About

James B. Marshall is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications. According to data from OpenAlex, James B. Marshall has authored 23 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Science Applications. Recurrent topics in James B. Marshall's work include Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and Teaching and Learning Programming (4 papers). James B. Marshall is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and Teaching and Learning Programming (4 papers). James B. Marshall collaborates with scholars based in United States, France and Italy. James B. Marshall's 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 and has published in prestigious journals such as Journal of Applied Social Psychology, ACM Transactions on Embedded Computing Systems and Journal of Experimental & Theoretical Artificial Intelligence.

In The Last Decade

James B. Marshall

22 papers receiving 248 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James B. Marshall United States 10 144 74 51 44 41 23 296
Gary L. Drescher United States 6 174 1.2× 80 1.1× 44 0.9× 51 1.2× 10 0.2× 9 289
Ari Weinstein United States 9 158 1.1× 113 1.5× 36 0.7× 43 1.0× 5 0.1× 14 359
Pierre-Yves Oudeyer France 8 97 0.7× 20 0.3× 29 0.6× 24 0.5× 39 1.0× 22 243
Paul Bello United States 12 199 1.4× 157 2.1× 54 1.1× 60 1.4× 6 0.1× 53 445
Mark K. Ho United States 15 212 1.5× 137 1.9× 79 1.5× 84 1.9× 16 0.4× 31 486
Ronald W. Ferguson United States 9 193 1.3× 42 0.6× 108 2.1× 44 1.0× 11 0.3× 16 406
Joshua C. Peterson United States 11 159 1.1× 169 2.3× 35 0.7× 29 0.7× 32 0.8× 29 472
Jonathan Sorg United States 8 232 1.6× 79 1.1× 19 0.4× 27 0.6× 9 0.2× 8 357
Boicho Kokinov Bulgaria 10 155 1.1× 97 1.3× 100 2.0× 33 0.8× 6 0.1× 37 372
Jim Davies Canada 9 89 0.6× 73 1.0× 55 1.1× 32 0.7× 6 0.1× 46 302

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
1.
Marshall, James B., et al.. (2021). Precise Cache Profiling for Studying Radiation Effects. ACM Transactions on Embedded Computing Systems. 20(3). 1–25. 1 indexed citations
2.
Marshall, James B. & Gerald Kotonya. (2021). A Runtime Visualizer For Microservices. 72–80.
3.
Marshall, James B., Gedare Bloom, Gabriel Parmer, & Rahul Simha. (2016). n-Modular Redundant Real-Time Middleware: Design and Implementation.. 1 indexed citations
4.
O’Hara, Keith J., Douglas Blank, & James B. Marshall. (2015). Computational Notebooks for AI Education. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 263–268. 25 indexed citations
5.
Marshall, James B., et al.. (2013). DEMONSTRATING SENSEMAKING EMERGENCE IN ARTIFICIAL AGENTS: A METHOD AND AN EXAMPLE. 5(2). 131–144. 8 indexed citations
6.
Marshall, James B., et al.. (2013). ECA: An enactivist cognitive architecture based on sensorimotor modeling. Biologically Inspired Cognitive Architectures. 6. 46–57. 14 indexed citations
7.
Walker, et al.. (2009). Category-Based Intrinsic Motivation. 146. 81. 6 indexed citations
8.
Marshall, James B.. (2008). Leveraging the Singularity: Introducing AI to Liberal Arts Students. 2 indexed citations
9.
Blank, Douglas, Deepak Kumar, James B. Marshall, & Lisa Meeden. (2007). Advanced Robotics Projects For Undergraduate Students. Works - Scholarship, Research, & Creative Expression (Swarthmore College). 10–15. 12 indexed citations
10.
Marshall, James B.. (2006). A self-watching model of analogy-making and perception. Journal of Experimental & Theoretical Artificial Intelligence. 18(3). 267–307. 9 indexed citations
11.
Blank, Douglas, Joshua M. Lewis, & James B. Marshall. (2005). The Multiple Roles of Anticipation in Developmental Robotics. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 4 indexed citations
12.
Marshall, James B. & Douglas R. Hofstadter. (2005). Beyond Copycat: Incorporating Self-Watching into a Computer Model of High-Level Perception and Analogy-Making. 2 indexed citations
13.
Blank, Douglas, Deepak Kumar, Lisa Meeden, & James B. Marshall. (2005). BRINGING UP ROBOT: FUNDAMENTAL MECHANISMS FOR CREATING A SELF-MOTIVATED, SELF-ORGANIZING ARCHITECTURE. Cybernetics & Systems. 36(2). 125–150. 33 indexed citations
14.
Marshall, James B., Douglas Blank, & Lisa Meeden. (2004). An Emergent Framework For Self-Motivation In Developmental Robotics. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 104. 37 indexed citations
15.
Meeden, Lisa, James B. Marshall, & Douglas Blank. (2004). Self-Motivated, Task-Independent Reinforcement Learning for Robots. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 5 indexed citations
16.
Hofstadter, Douglas R. & James B. Marshall. (1999). Metacat: a self-watching cognitive architecture for analogy-making and high-level perception. 21 indexed citations
17.
Marshall, James B. & Douglas R. Hofstadter. (1997). The Metacat Project: A Self-Watching Model of Analogy-Making. 4(4). 57–71. 3 indexed citations
18.
Blank, Douglas, Lisa Meeden, & James B. Marshall. (1992). Exploring the Symbolic/Subsymbolic Continuum: A case study of RAAM. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 35 indexed citations
19.
Marshall, James B., et al.. (1991). Drug Control. Impact of DoDs Detection and Monitoring on Cocaine Flow. Defense Technical Information Center (DTIC). 1 indexed citations
20.
Marquis, Kent H., James B. Marshall, & Stuart Oskamp. (1972). Testimony Validity as a Function of Question Form, Atmosphere, and Item Difficulty. Journal of Applied Social Psychology. 2(2). 167–186. 49 indexed citations

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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