David Hall

2.3k citations

19 papers · 1.5k indexed · 2 hit papers · h-index 11

Impact in

General Social Sciences top 0.1%
- Computational and Text Analysis Methods
Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining

Papers in

Artificial Intelligence 17
- Natural Language Processing Techniques 11
- Topic Modeling 9
- Semantic Web and Ontologies 4
- Algorithms and Data Compression 3
Cultural Studies 3
- Language and cultural evolution 3

Co-authors: Christopher D. Manning Daniel Ramage Ramesh Nallapati Daniel Jurafsky Dan Klein Thomas L. Griffiths Alexandre Bouchard‐Côté Greg Durrett
Journals: PROTEOMICS (1 paper)Proceedings of the National Academy of Sciences (1 paper)Empirical Methods in Natural Language Processing (3 papers)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
Partner nations: United States Sweden Australia

In The Last Decade

David Hall

19 papers receiving 1.4k citations

Hit Papers

align trajectories log scale

Labeled LDA 2009 · 848 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2009 Labeled LDA
2008 Studying the history of ideas using topic models

Peers

Countries citing papers authored by David Hall

Since Specialization

Citations

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

Fields of papers citing papers by David Hall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Hall, 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 David Hall Line = papers co-authored together David Hall links everyone, so they are left out of the graph.

All Works

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

19 of 19 papers shown

#	Work
1	Less Grammar, More Features David Hall, Greg Durrett, Dan Klein	2014	33
2	Sparser, Better, Faster GPU Parsing David Hall, Taylor Berg-Kirkpatrick, Dan Klein	2014	11
3	A Multi-Teraflop Constituency Parser using GPUs John Canny, David Hall, Dan Klein	2013	14
4	Decentralized Entity-Level Modeling for Coreference Resolution Meeting of the Association for Computational Linguistics ·Greg Durrett, David Hall, Dan Klein	2013	25
5	Faster Optimal Planning with Partial-Order Pruning Proceedings of the International Conference on Automated Planning and Scheduling ·David Hall, Alon Cohen, David Burkett, Dan Klein	2013	9
6	Automated reconstruction of ancient languages using probabilistic models of sound change Proceedings of the National Academy of Sciences ·Alexandre Bouchard‐Côté, David Hall, Thomas L. Griffiths, Dan Klein	2013	81
7	Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output Empirical Methods in Natural Language Processing ·Jonathan K. Kummerfeld, David Hall, James Curran, Dan Klein	2012	50
8	Training Factored PCFGs with Expectation Propagation Empirical Methods in Natural Language Processing ·David Hall, Dan Klein	2012	7
9	Exploring Statistical Information for Applications-Specific Design and Evaluation of Hybrid XML storage. Lena Strömbäck, Valentina Ivanova, David Hall	2011	1
10	Large-Scale Cognate Recovery Empirical Methods in Natural Language Processing ·David Hall, Dan Klein	2011	6
11	Optimal Graph Search with Iterated Graph Cuts Proceedings of the AAAI Conference on Artificial Intelligence ·David Burkett, David Hall, Dan Klein	2011	6
12	Finding Cognate Groups Using Phylogenies Meeting of the Association for Computational Linguistics ·David Hall, Dan Klein	2010	21
13	HShreX - A Tool for Design and Evaluation of Hybrid XML Storage Lena Strömbäck, Mikael Åsberg, David Hall	2009	3
14	Efficient XML data management for systems biology: Problems, tools and future vision Lena Strömbäck, David Hall, Mikael Åsberg, Stefan Schmidt	2009	1
15	Labeled LDA Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning Hit paper breakdown →	2009	848
16	Studying the history of ideas using topic models David Hall, Daniel Jurafsky, Christopher D. Manning Hit paper breakdown →	2008	282
17	A review of standards for data exchange within systems biology PROTEOMICS ·Lena Strömbäck, David Hall, Patrick Lambrix	2007	25
18	Learning alignments and leveraging natural logic Nathanael Chambers, Christopher D. Manning, Daniel Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh	2007	54
19	An XML-based Database of Molecular Pathways KTH Publication Database DiVA (KTH Royal Institute of Technology) ·David Hall	2005	3

About David Hall

David Hall is a scholar working on Artificial Intelligence, Cultural Studies, General Social Sciences, Computer Networks and Communications and Information Systems and Management, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (9 papers), Semantic Web and Ontologies (4 papers), Language and cultural evolution (3 papers), Advanced Database Systems and Queries (3 papers), Algorithms and Data Compression (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in General Social Sciences (169 citations), Artificial Intelligence (1.1k citations), Information Systems (355 citations), Statistical and Nonlinear Physics (154 citations) and Cultural Studies (71 citations). David Hall has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Christopher D. Manning, Daniel Ramage, Ramesh Nallapati, Daniel Jurafsky, Dan Klein, Thomas L. Griffiths, Alexandre Bouchard‐Côté, Greg Durrett, Jonathan K. Kummerfeld and James Curran. Their work appears in journals such as PROTEOMICS, Proceedings of the National Academy of Sciences, Empirical Methods in Natural Language Processing, KTH Publication Database DiVA (KTH Royal Institute of Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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