Daniel S. Weld

29.3k citations
260 papers · 20.3k · 10 hit papers · h-index 73

Impact in

Papers in

    • AI-based Problem Solving and Planning 60
    • Topic Modeling 55
    • Natural Language Processing Techniques 42
    • Semantic Web and Ontologies 39
    • Logic, Reasoning, and Knowledge 37
    • Mobile Crowdsensing and Crowdsourcing 24

Daniel S. Weld

251 papers receiving 18.3k citations

Daniel S. Weld's Hit Papers

S2ORC: The Semantic Scholar Open Research Corpus 2020 · 287 citations
2870+12+24Years since publication50010001.5k

Peers

Daniel S. Weld
Comparison fields: 5 of 178
  • Artificial Intelligence 13.6k
  • Human-Computer Interaction 1.4k
  • Information Systems 5.0k
  • Computer Science Applications 1.2k
  • Software 784
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Alexander Maedche Germany
DAVID E. BUDGEN United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Weld

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Weld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Weld. 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 Daniel S. Weld. The network helps show where Daniel S. Weld may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The psychology of everyday things
Hit paper breakdown →
19891618
2
Unsupervised named-entity extraction from the Web: An experimental study
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2005837
3
Wrapper induction for information extraction
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1997821
4
Open information extraction from the web
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2008753
5
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
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2011653
6
Web-scale information extraction in knowitall
Hit paper breakdown →
2004585
7
UCPOP: a sound, complete, partial order planner for ADL
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1992527
8 1994449
9
Open Information Extraction Using Wikipedia
Hit paper breakdown →
2010419
10 1997399
11 1994342
12 1999326
13
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
Hit paper breakdown →
2019323
14 1999306
15 2007294
16 2004292
17
S2ORC: The Semantic Scholar Open Research Corpus
Hit paper breakdown →
2020287
18 2001260
19 2001254
20 2010240

About Daniel S. Weld

Daniel S. Weld is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 260 papers that have together received 20.3k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (60 papers), Topic Modeling (55 papers), Natural Language Processing Techniques (42 papers), Semantic Web and Ontologies (39 papers), Logic, Reasoning, and Knowledge (37 papers), Mobile Crowdsensing and Crowdsourcing (24 papers), Constraint Satisfaction and Optimization (24 papers) and Web Data Mining and Analysis (23 papers). The work is most often cited by research in Artificial Intelligence (13.6k citations), Human-Computer Interaction (1.4k citations), Information Systems (5.0k citations), Computer Science Applications (1.2k citations) and Software (784 citations). Daniel S. Weld has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Oren Etzioni, Fei Qing Wu, Nicholas Kushmerick, Krzysztof Z. Gajos, Stephen Soderland, J. Scott Penberthy, Raphael Hoffmann, Zachary G. Ives, Xiao Ling and Pedro Domingos. Their work appears in journals such as Artificial Intelligence, AI Magazine, Communications of the ACM, ACM SIGMOD Record and Transactions of the Association for Computational Linguistics.

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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