Sam Wiseman

2.2k citations
23 papers · 1.3k · h-index 11

Impact in

Papers in

    • Topic Modeling 21
    • Natural Language Processing Techniques 19
    • Speech Recognition and Synthesis 3
    • Advanced Text Analysis Techniques 2
    • Text and Document Classification Technologies 2
    • Multimodal Machine Learning Applications 5
    • Generative Adversarial Networks and Image Synthesis 1
Journals
arXiv (Cornell University) (2 papers)Proceedings of the International Conference on Automated Planning and Scheduling (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (4 papers)Empirical Methods in Natural Language Processing (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)

In The Last Decade

Sam Wiseman

22 papers receiving 1.2k citations

Peers

Sam Wiseman
Comparison fields: 5 of 75
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 371
  • Information Systems 113
  • General Social Sciences 14
  • Software 17
Replace Illia Polosukhin with:
Illia Polosukhin United States
Panupong Pasupat United States
Diego Marcheggiani Italy
Cícero Nogueira dos Santos Brazil
Anastasia Shimorina France
Linfeng Song China
Yuntian Deng United States
Jennimaria Palomaki United States
Daxiang Dong China
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Citations per field
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Citations per year

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-authors

The 18 scholars most cited alongside Sam Wiseman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Wiseman Line = papers co-authored together Sam Wiseman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017347
2 2016293
3 2018126
4 2016111
5 201598
6 201973
7 201947
8 201934
9 202228
10 202027
11 202114
12 20229
13 20189
14 20219
15 20147
16 20206
17
Deep Latent Variable Models of Natural Language
20184
18 20233
19 20162
20 20201

About Sam Wiseman

Sam Wiseman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, General Social Sciences, Communication and Computer Networks and Communications, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers), Multimodal Machine Learning Applications (5 papers), Speech Recognition and Synthesis (3 papers), Advanced Text Analysis Techniques (2 papers), Text and Document Classification Technologies (2 papers), Genomics and Phylogenetic Studies (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (371 citations), Information Systems (113 citations), General Social Sciences (14 citations) and Software (17 citations). Sam Wiseman has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Alexander M. Rush, Stuart M. Shieber, Kevin Gimpel, Mingda Chen, Qingming Tang, Jason Weston, Karl Stratos, Lifu Tu, Richard Yuanzhe Pang and Karen Livescu. Their work appears in journals such as arXiv (Cornell University), Proceedings of the International Conference on Automated Planning and Scheduling, Digital Access to Scholarship at Harvard (DASH) (Harvard University), Empirical Methods in Natural Language Processing and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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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