Luke Hewitt
- Artificial Intelligence
- Sociology and Political Science
- Information Systems
- Communication
- Cognitive Neuroscience
- Co-authors
- Joshua B. TenenbaumBen M TappinArmando Solar-LezamaMaxwell NyeDavid G. RandKevin EllisMathias Sablé-MeyerAdam J. Berinsky
- Topics
- Topic Modeling (3 papers)Machine Learning and Algorithms (2 papers)Software Engineering Research (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Luke Hewitt
12 papers receiving 165 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 81
- Sociology and Political Science 39
- Information Systems 23
- Communication 21
- Cognitive Neuroscience 20
Countries citing papers authored by Luke Hewitt
This map shows the geographic impact of Luke Hewitt'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 Luke Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luke Hewitt more than expected).
Fields of papers citing papers by Luke Hewitt
This network shows the impact of papers produced by Luke Hewitt. 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 Luke Hewitt. The network helps show where Luke Hewitt may publish in the future.
Co-authorship network of co-authors of Luke Hewitt
This figure shows the co-authorship network connecting the top 25 collaborators of Luke Hewitt. A scholar is included among the top collaborators of Luke Hewitt 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 Luke Hewitt. Luke Hewitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 37 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 47 | |
| 12 | Learning to learn generative programs with Memoised Wake-Sleep | 2 |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 1 |
About Luke Hewitt
Luke Hewitt is a scholar working on Software, Modeling and Simulation and Applied Psychology, having authored 15 papers that have together received 171 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Machine Learning and Algorithms (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Software (17 citations), Communication (21 citations) and Artificial Intelligence (81 citations). Luke Hewitt has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Joshua B. Tenenbaum, Ben M Tappin, Armando Solar-Lezama, Maxwell Nye, David G. Rand, Kevin Ellis, Mathias Sablé-Meyer, Adam J. Berinsky, Chloe Wittenberg and Max Kleiman‐Weiner. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and American Political Science Review.
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.