Marc Pickett

1.0k total citations
12 papers, 101 citations indexed

About

Marc Pickett is a scholar working on Artificial Intelligence, Social Psychology and Surgery. According to data from OpenAlex, Marc Pickett has authored 12 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Social Psychology and 2 papers in Surgery. Recurrent topics in Marc Pickett's work include Human-Automation Interaction and Safety (3 papers), AI-based Problem Solving and Planning (3 papers) and Language and cultural evolution (2 papers). Marc Pickett is often cited by papers focused on Human-Automation Interaction and Safety (3 papers), AI-based Problem Solving and Planning (3 papers) and Language and cultural evolution (2 papers). Marc Pickett collaborates with scholars based in United States, United Kingdom and Japan. Marc Pickett's co-authors include Andrew G. Barto, David W. Aha, Qi She, M. Caccia, Yu Chen, Pau Rodríguez, German I. Parisi, Lorenzo Pellegrini, Issam Laradji and Ruiping Wang and has published in prestigious journals such as Cognitive Science, Clinical Genetics and Automated Software Engineering.

In The Last Decade

Marc Pickett

10 papers receiving 93 citations

Peers

Marc Pickett
Diana Borsa United Kingdom
Andy Shih United States
Keiko Ono Japan
Zhaohan Daniel Guo United States
Yuping Luo United States
Maxwell Nye United States
Joost van Amersfoort United Kingdom
Diana Borsa United Kingdom
Marc Pickett
Citations per year, relative to Marc Pickett Marc Pickett (= 1×) peers Diana Borsa

Countries citing papers authored by Marc Pickett

Since Specialization
Citations

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

Fields of papers citing papers by Marc Pickett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Pickett

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Pickett. A scholar is included among the top collaborators of Marc Pickett 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 Marc Pickett. Marc Pickett 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
1.
Lomonaco, Vincenzo, Lorenzo Pellegrini, Pau Rodríguez, et al.. (2022). CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. CINECA IRIS Institutial research information system (University of Pisa). 23 indexed citations
2.
Heitmeyer, Constance, Marc Pickett, Myla Archer, et al.. (2014). Building high assurance human-centric decision systems. Automated Software Engineering. 22(2). 159–197. 6 indexed citations
3.
Pickett, Marc. (2013). Building on deep learning. National Conference on Artificial Intelligence. 37–39.
4.
Pickett, Marc & David W. Aha. (2013). Spontaneous Analogy by Piggybacking on a Perceptual System. Cognitive Science. 35(35). 3 indexed citations
5.
Pickett, Marc, David W. Aha, & J. Gregory Trafton. (2013). Acquiring User Models to Test Automated Assistants. The Florida AI Research Society. 2 indexed citations
6.
Pickett, Marc & David W. Aha. (2013). Using cortically-inspired algorithms for analogical learning and reasoning. Biologically Inspired Cognitive Architectures. 6. 76–86. 3 indexed citations
7.
Heitmeyer, Constance, et al.. (2013). High assurance human-centric decision systems. Zenodo (CERN European Organization for Nuclear Research). 1. 35–41. 3 indexed citations
8.
Pickett, Marc, et al.. (2009). Understanding the Brain's Emergent Properties. 4 indexed citations
9.
Pickett, Marc, et al.. (2008). Essential Phenomena of General Intelligence. 268–274. 1 indexed citations
10.
Pickett, Marc, et al.. (2007). Models of Strategic Deficiency and Poker. Clinical Genetics. 80 Suppl 1. 1–74.
11.
Pickett, Marc. (2007). The Übercruncher: concept formation by analogy discovery. National Conference on Artificial Intelligence. 1941–1942. 1 indexed citations
12.
Pickett, Marc & Andrew G. Barto. (2002). PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. International Conference on Machine Learning. 506–513. 55 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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