Sam Wiseman

2.2k total citations
21 papers, 926 citations indexed

About

Sam Wiseman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sam Wiseman has authored 21 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Sam Wiseman's work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (4 papers). Sam Wiseman is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Multimodal Machine Learning Applications (4 papers). Sam Wiseman collaborates with scholars based in United States, Netherlands and Israel. Sam Wiseman's co-authors include Alexander M. Rush, Stuart M. Shieber, Jason Weston, Karl Stratos, Kevin Gimpel, Mingda Chen, Lifu Tu, Richard Yuanzhe Pang, Karen Livescu and Artūrs Bačkurs and has published in prestigious journals such as Digital Access to Scholarship at Harvard (DASH) (Harvard University), Empirical Methods in Natural Language Processing and arXiv (Cornell University).

In The Last Decade

Sam Wiseman

19 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Wiseman United States	9	854	269	80	36	35	21	926
Yuntian Deng United States	11	626 0.7×	251 0.9×	63 0.8×	27 0.8×	29 0.8×	21	771
Illia Polosukhin United States	5	1.1k 1.2×	408 1.5×	172 2.1×	35 1.0×	18 0.5×	7	1.1k
Zhiruo Wang United States	6	593 0.7×	182 0.7×	72 0.9×	45 1.3×	19 0.5×	11	670
Chris Alberti United States	7	1.3k 1.5×	492 1.8×	187 2.3×	48 1.3×	33 0.9×	13	1.4k
Matthew Kelcey United States	2	976 1.1×	379 1.4×	153 1.9×	34 0.9×	16 0.5×	3	1.0k
Aditya Siddhant United States	8	1.1k 1.2×	274 1.0×	85 1.1×	36 1.0×	30 0.9×	13	1.1k
Linfeng Song China	16	959 1.1×	191 0.7×	110 1.4×	57 1.6×	11 0.3×	64	1.0k
Diego Marcheggiani Italy	8	601 0.7×	106 0.4×	75 0.9×	33 0.9×	14 0.4×	14	671
Lemao Liu China	15	721 0.8×	291 1.1×	48 0.6×	16 0.4×	20 0.6×	65	772

Countries citing papers authored by Sam Wiseman

Since Specialization

Citations

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

Fields of papers citing papers by Sam Wiseman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Wiseman

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Wiseman. A scholar is included among the top collaborators of Sam Wiseman 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 Sam Wiseman. Sam Wiseman 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:

20 of 20 papers shown

Zhang, Wenzheng, Sam Wiseman, & Karl Stratos. (2023). Seq2seq is All You Need for Coreference Resolution. 11493–11504. 1 indexed citations

Wiseman, Sam, et al.. (2023). The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation. 1627–1638.

Toshniwal, Shubham, Sam Wiseman, Karen Livescu, & Kevin Gimpel. (2022). Chess as a Testbed for Language Model State Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11385–11393. 7 indexed citations

Toshniwal, Shubham, Sam Wiseman, Karen Livescu, & Kevin Gimpel. (2022). Baked-in State Probing. 5430–5435.

Chen, Mingda, et al.. (2022). SummScreen: A Dataset for Abstractive Screenplay Summarization. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8602–8615. 27 indexed citations

Chen, Mingda, Sam Wiseman, & Kevin Gimpel. (2021). WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. 193–209. 12 indexed citations

Wiseman, Sam, Artūrs Bačkurs, & Karl Stratos. (2021). Data-to-text Generation by Splicing Together Nearest Neighbors. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4283–4299. 8 indexed citations

Stratos, Karl & Sam Wiseman. (2020). Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information. arXiv (Cornell University). 2 indexed citations

Wiseman, Sam, et al.. (2020). Discrete Latent Variable Representations for Low-Resource Text Classification. 6 indexed citations

10.

Tu, Lifu, Richard Yuanzhe Pang, Sam Wiseman, & Kevin Gimpel. (2020). ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. 2819–2826. 27 indexed citations

11.

Wiseman, Sam & Yoon Kim. (2019). Amortized Bethe Free Energy Minimization for Learning MRFs. arXiv (Cornell University). 32. 15546–15557. 2 indexed citations

12.

Wiseman, Sam & Karl Stratos. (2019). Label-Agnostic Sequence Labeling by Copying Nearest Neighbors. 5363–5369. 29 indexed citations

13.

Rush, Alexander M., Yoon Kim, & Sam Wiseman. (2018). Deep Latent Variable Models of Natural Language. Empirical Methods in Natural Language Processing. 3 indexed citations

14.

Wiseman, Sam, Stuart M. Shieber, & Alexander M. Rush. (2018). Learning Neural Templates for Text Generation. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 3174–3187. 103 indexed citations

15.

Hoang, Luong, Sam Wiseman, & Alexander M. Rush. (2018). Entity Tracking Improves Cloze-style Reading Comprehension. 1049–1055. 7 indexed citations

16.

Wiseman, Sam, Stuart M. Shieber, & Alexander M. Rush. (2017). Challenges in Data-to-Document Generation. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 2253–2263. 277 indexed citations

17.

Wiseman, Sam & Alexander M. Rush. (2016). Sequence-to-Sequence Learning as Beam-Search Optimization. 1296–1306. 230 indexed citations

18.

Wiseman, Sam, Alexander M. Rush, & Stuart M. Shieber. (2016). Learning Global Features for Coreference Resolution. 994–1004. 94 indexed citations

19.

Wiseman, Sam, Alexander M. Rush, Stuart M. Shieber, & Jason Weston. (2015). Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution. 1416–1426. 82 indexed citations

20.

Wiseman, Sam & Stuart M. Shieber. (2014). Discriminatively Reranking Abductive Proofs for Plan Recognition. Proceedings of the International Conference on Automated Planning and Scheduling. 24. 380–384. 8 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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