Bob Carpenter

11.0k total citations · 2 hit papers
28 papers, 5.7k citations indexed

About

Bob Carpenter is a scholar working on Artificial Intelligence, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Bob Carpenter has authored 28 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Infectious Diseases. Recurrent topics in Bob Carpenter's work include Natural Language Processing Techniques (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Topic Modeling (4 papers). Bob Carpenter is often cited by papers focused on Natural Language Processing Techniques (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Topic Modeling (4 papers). Bob Carpenter collaborates with scholars based in United States, United Kingdom and Italy. Bob Carpenter's co-authors include Matthew D. Hoffman, Daniel C. Lee, Marcus A. Brubaker, Ben Goodrich, Allen Riddell, Jiqiang Guo, Peter Li, Michael Betancourt, Andrew Gelman and Andrew Gelman and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Bob Carpenter

26 papers receiving 5.4k citations

Hit Papers

Stan: A Probabilistic Programming Language 2017 2026 2020 2023 2017 2017 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bob Carpenter United States 14 1.2k 694 632 519 475 28 5.7k
Jiqiang Guo United States 9 705 0.6× 787 1.1× 649 1.0× 551 1.1× 447 0.9× 13 5.2k
Ben Goodrich United States 12 814 0.7× 747 1.1× 662 1.0× 672 1.3× 469 1.0× 26 5.7k
Daniel C. Lee Canada 11 710 0.6× 684 1.0× 612 1.0× 517 1.0× 414 0.9× 58 5.3k
Michael Betancourt United States 11 855 0.7× 927 1.3× 723 1.1× 677 1.3× 503 1.1× 24 6.1k
Allen Riddell United States 9 728 0.6× 684 1.0× 618 1.0× 517 1.0× 418 0.9× 22 4.9k
Matthew D. Hoffman United States 17 2.6k 2.2× 873 1.3× 688 1.1× 527 1.0× 436 0.9× 54 7.9k
Peter Li United States 49 1.0k 0.9× 708 1.0× 657 1.0× 554 1.1× 419 0.9× 149 13.1k
David Strauss United States 46 583 0.5× 659 0.9× 350 0.6× 457 0.9× 277 0.6× 144 8.6k
Paul McCullagh United Kingdom 31 657 0.5× 723 1.0× 413 0.7× 697 1.3× 119 0.3× 181 6.4k
Carolin Strobl Germany 25 1.3k 1.1× 666 1.0× 276 0.4× 1.3k 2.5× 448 0.9× 70 9.0k

Countries citing papers authored by Bob Carpenter

Since Specialization
Citations

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

Fields of papers citing papers by Bob Carpenter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bob Carpenter

This figure shows the co-authorship network connecting the top 25 collaborators of Bob Carpenter. A scholar is included among the top collaborators of Bob Carpenter 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 Bob Carpenter. Bob Carpenter 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.
Bou‐Rabee, Nawaf, et al.. (2025). Incorporating local step-size adaptivity into the no-U-turn sampler using Gibbs self-tuning. The Journal of Chemical Physics. 163(8).
2.
Banks, David, et al.. (2024). Large Language Models: Trust and Regulation. SHILAP Revista de lepidopterología. 6(3).
3.
Ward, Thomas, Mitzi Morris, Andrew Gelman, et al.. (2023). Bayesian spatial modelling of localised SARS-CoV-2 transmission through mobility networks across England. PLoS Computational Biology. 19(11). e1011580–e1011580. 3 indexed citations
4.
Modi, Chirag, Alex H. Barnett, & Bob Carpenter. (2023). Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions. Bayesian Analysis. 19(3). 2 indexed citations
5.
Carpenter, Bob, et al.. (2023). BridgeStan: Efficient in-memory access to the methodsof a Stan model. The Journal of Open Source Software. 8(87). 5236–5236. 1 indexed citations
6.
Ward, Thomas, et al.. (2022). Replacement dynamics and the pathogenesis of the Alpha, Delta and Omicron variants of SARS-CoV-2. Epidemiology and Infection. 151. e32–e32. 14 indexed citations
7.
Thiede, Erik H., et al.. (2021). A Bayesian approach to extracting free-energy profiles from cryo-electron microscopy experiments. Scientific Reports. 11(1). 13657–13657. 32 indexed citations
8.
Gelman, Andrew & Bob Carpenter. (2020). Bayesian Analysis of Tests with Unknown Specificity and Sensitivity. Journal of the Royal Statistical Society Series C (Applied Statistics). 69(5). 1269–1283. 65 indexed citations
9.
Carpenter, Bob & Gerald Penn. (2018). ALE : the attribute logic engine user's guide, version 2.0.1. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations
10.
Paun, Silviu, Bob Carpenter, Jon Chamberlain, et al.. (2018). Comparing Bayesian Models of Annotation. Transactions of the Association for Computational Linguistics. 6. 571–585. 51 indexed citations
11.
Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Systems and Software. 76(1). 1–32. 496 indexed citations breakdown →
12.
Carpenter, Bob, Andrew Gelman, Matthew D. Hoffman, et al.. (2017). Stan: A Probabilistic Programming Language. Journal of Statistical Software. 76(1). 4257 indexed citations breakdown →
13.
Carpenter, Bob. (2011). A Hierarchical Bayesian Model of Crowdsourced Relevance Coding.. Text REtrieval Conference. 10 indexed citations
14.
Carpenter, Bob. (2005). Logic of Typed Feature Structures, The (Cambridge Tracts in Theoretical Computer Science). Cambridge University Press eBooks. 23 indexed citations
15.
Carpenter, Bob. (2004). Phrasal Queries with LingPipe and Lucene: Ad Hoc Genomics Text Retrieval.. Text REtrieval Conference. 28 indexed citations
16.
Collins, Christopher, Bob Carpenter, & Gerald Penn. (2004). Head-driven parsing for word lattices. 231–es. 10 indexed citations
17.
Froeliger, Eunice H. & Bob Carpenter. (1996). NUT1, a major nitrogen regulatory gene inMagnaporthe grisea, is dispensable for pathogenicity. Molecular and General Genetics MGG. 251(6). 647–656. 84 indexed citations
18.
Carpenter, Bob. (1992). The logic of typed feature structures. Cambridge University Press eBooks. 348 indexed citations
19.
Carpenter, Bob. (1991). Typed Feature Structures: A Generalization of First-Order Terms.. Genes and Immunity. 5(6). 187–201. 4 indexed citations
20.
Morrill, Glyn & Bob Carpenter. (1990). Compositionality, implicational logics, and theories of grammar. Linguistics and Philosophy. 13(4). 383–392. 3 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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