Luke Hewitt

531 total citations
15 papers, 171 citations indexed

About

Luke Hewitt is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Luke Hewitt has authored 15 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Luke Hewitt's work include Topic Modeling (3 papers), Machine Learning and Algorithms (2 papers) and Software Engineering Research (2 papers). Luke Hewitt is often cited by papers focused on Topic Modeling (3 papers), Machine Learning and Algorithms (2 papers) and Software Engineering Research (2 papers). Luke Hewitt collaborates with scholars based in United States, United Kingdom and France. Luke Hewitt's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and American Political Science Review.

In The Last Decade

Luke Hewitt

12 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luke Hewitt United States	6	81	39	23	21	20	15	171
Rachael Tatman United States	6	181 2.2×	24 0.6×	18 0.8×	9 0.4×	30 1.5×	14	297
Jakub Šimko Slovakia	9	89 1.1×	65 1.7×	45 2.0×	18 0.9×	34 1.7×	31	221
Matej Martinc Slovenia	9	230 2.8×	19 0.5×	37 1.6×	15 0.7×	15 0.8×	32	289
Hind M. Alotaibi Saudi Arabia	9	62 0.8×	11 0.3×	42 1.8×	9 0.4×	17 0.8×	33	212
Richard Dufour France	8	109 1.3×	26 0.7×	25 1.1×	7 0.3×	5 0.3×	39	267
Sangho Suh Canada	9	72 0.9×	17 0.4×	13 0.6×	2 0.1×	7 0.3×	20	177
Adalbert Gerald Soosai Raj United States	10	45 0.6×	22 0.6×	66 2.9×	12 0.6×	3 0.1×	42	305
Willard McCarty United Kingdom	8	77 1.0×	38 1.0×	34 1.5×	28 1.3×	10 0.5×	39	243
Curtis G. Northcutt United States	5	54 0.7×	13 0.3×	28 1.2×	4 0.2×	8 0.4×	7	284
Henk Zeevat Netherlands	13	301 3.7×	12 0.3×	8 0.3×	7 0.3×	37 1.9×	43	559

Countries citing papers authored by Luke Hewitt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Tappin, Ben M, Luke Hewitt, Stewart Black, et al.. (2025). The levers of political persuasion with conversational artificial intelligence. Science. 390(6777). eaea3884–eaea3884. 2 indexed citations

Hewitt, Luke, Chris Hardie, & Steve Roberts. (2025). Comparison of scanned and defocussed beam ion irradiation hardening of UHP Fe and Fe-Cr alloys. Journal of Nuclear Materials. 614. 155906–155906.

Hewitt, Luke, et al.. (2024). Listening with generative models. Cognition. 253. 105874–105874. 2 indexed citations

Volpe, L., et al.. (2024). Microstructural and mechanical properties of Al-base coated EUROFER-97. Nuclear Materials and Energy. 40. 101711–101711.

Hewitt, Luke, David Broockman, Alexander Coppock, et al.. (2024). How Experiments Help Campaigns Persuade Voters: Evidence from a Large Archive of Campaigns’ Own Experiments. American Political Science Review. 118(4). 2021–2039. 15 indexed citations

Tappin, Ben M & Luke Hewitt. (2024). Using survey experiment pretesting to support future pandemic response. PNAS Nexus. 3(11). pgae469–pgae469.

Kleiman‐Weiner, Max, et al.. (2023). Emotion prediction as computation over a generative theory of mind. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2251). 20220047–20220047. 18 indexed citations

Tappin, Ben M, Chloe Wittenberg, Luke Hewitt, Adam J. Berinsky, & David G. Rand. (2023). Quantifying the potential persuasive returns to political microtargeting. Proceedings of the National Academy of Sciences. 120(25). e2216261120–e2216261120. 37 indexed citations

Ellis, Kevin, Maxwell Nye, Mathias Sablé-Meyer, et al.. (2023). DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2251). 20220050–20220050. 28 indexed citations

10.

Tappin, Ben M & Luke Hewitt. (2021). Estimating the Persistence of Party Cue Influence in a Panel Survey Experiment. Journal of Experimental Political Science. 10(1). 50–61. 5 indexed citations

11.

Ellis, Kevin, Maxwell Nye, Mathias Sablé-Meyer, et al.. (2021). DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. 835–850. 47 indexed citations

12.

Hewitt, Luke, Tuan Le, & Joshua B. Tenenbaum. (2020). Learning to learn generative programs with Memoised Wake-Sleep. Uncertainty in Artificial Intelligence. 1278–1287. 2 indexed citations

13.

Nye, Maxwell, Luke Hewitt, Joshua B. Tenenbaum, & Armando Solar-Lezama. (2019). Learning to Infer Program Sketches. arXiv (Cornell University). 4861–4870. 10 indexed citations

14.

Hewitt, Luke, et al.. (2018). Auditory scene analysis as Bayesian inference in sound source models. Cognitive Science. 4 indexed citations

15.

Singh, Sameer, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, & Sebastian Riedel. (2015). WOLFE: An NLP-friendly Declarative Machine Learning Stack. 61–65. 1 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.

Explore authors with similar magnitude of impact