H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 91 Citations 39,215 239 World Ranking 249 National Ranking 150

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the American Association for the Advancement of Science (AAAS)

2005 - ACM Fellow For contributions to planning algorithms.

1999 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to development of qualitative reasoning methods, software agent technology, and plan synthesis algorithms.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Machine learning

His main research concerns Artificial intelligence, Information retrieval, Planner, Information extraction and World Wide Web. His research integrates issues of Machine learning, Software engineering, Function and Natural language processing in his study of Artificial intelligence. In his research on the topic of Machine learning, Structure, Knowledge base, Relation and Natural language is strongly related with Data model.

His work deals with themes such as Planning algorithms, Operations research, Representation and Plan, which intersect with Planner. His Information extraction research includes themes of Precision and recall, Scalability, Set and Pattern recognition. His research in World Wide Web intersects with topics in Question answering, Application software, Pointwise mutual information and Workflow.

His most cited work include:

  • Wrapper induction for information extraction (1018 citations)
  • Unsupervised named-entity extraction from the Web: An experimental study (973 citations)
  • Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations (721 citations)

What are the main themes of his work throughout his whole career to date?

Daniel S. Weld spends much of his time researching Artificial intelligence, Machine learning, World Wide Web, Information retrieval and Crowdsourcing. His biological study spans a wide range of topics, including Task and Natural language processing. He has included themes like Inference and Coreference in his Natural language processing study.

His World Wide Web research focuses on The Internet in particular. His studies in Crowdsourcing integrate themes in fields like Partially observable Markov decision process, Workflow and Data science. His study explores the link between Probabilistic logic and topics such as Mathematical optimization that cross with problems in Markov decision process.

He most often published in these fields:

  • Artificial intelligence (36.45%)
  • Machine learning (16.51%)
  • World Wide Web (13.08%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (36.45%)
  • Information retrieval (13.40%)
  • Machine learning (16.51%)

In recent papers he was focusing on the following fields of study:

Daniel S. Weld focuses on Artificial intelligence, Information retrieval, Machine learning, Task and Data science. Daniel S. Weld combines subjects such as Generalization, Dialog box and Natural language processing with his study of Artificial intelligence. The Faceted search research Daniel S. Weld does as part of his general Information retrieval study is frequently linked to other disciplines of science, such as Scientific literature, therefore creating a link between diverse domains of science.

His Machine learning research includes elements of Relationship extraction and Crowdsourcing. His work carried out in the field of Data science brings together such families of science as Frame, Resource, User interface design, Key and Exploratory search. As a member of one scientific family, Daniel S. Weld mostly works in the field of Resource, focusing on Aggregate and, on occasion, World Wide Web.

Between 2017 and 2021, his most popular works were:

  • SpanBERT: Improving Pre-training by Representing and Predicting Spans (376 citations)
  • SpanBERT: Improving Pre-training by Representing and Predicting Spans (376 citations)
  • Guidelines for Human-AI Interaction (247 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Machine learning

Daniel S. Weld mainly investigates Artificial intelligence, Data science, Natural language processing, Resource and Task. He is studying Coreference, which is a component of Artificial intelligence. His Data science study incorporates themes from Frame, Key and Set.

His work on Sentence and Language model as part of general Natural language processing research is frequently linked to Transformer, thereby connecting diverse disciplines of science. His Task research integrates issues from Relationship extraction and Machine learning. His study in the fields of Spurious relationship under the domain of Machine learning overlaps with other disciplines such as Quality.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Open information extraction from the web

Oren Etzioni;Michele Banko;Stephen Soderland;Daniel S. Weld.
Communications of The ACM (2008)

2469 Citations

Wrapper induction for information extraction

Nicholas Kushmerick;Daniel S. Weld.
international joint conference on artificial intelligence (1997)

1595 Citations

Unsupervised named-entity extraction from the Web: An experimental study

Oren Etzioni;Michael Cafarella;Doug Downey;Ana-Maria Popescu.
Artificial Intelligence (2005)

1383 Citations

Comparative analysis

Daniel S. Weld.
Artificial Intelligence archive (1988)

1143 Citations

UCPOP: a sound, complete, partial order planner for ADL

J. Scott Penberthy;Daniel S. Weld.
principles of knowledge representation and reasoning (1992)

1101 Citations

Web-scale information extraction in knowitall: (preliminary results)

Oren Etzioni;Michael Cafarella;Doug Downey;Stanley Kok.
the web conference (2004)

1080 Citations

Readings in qualitative reasoning about physical systems

Daniel S. Weld;Johan de Kleer.
(1990)

922 Citations

A scalable comparison-shopping agent for the World-Wide Web

Robert B. Doorenbos;Oren Etzioni;Daniel S. Weld.
adaptive agents and multi-agents systems (1997)

897 Citations

An Introduction to Least Commitment Planning

Daniel S. Weld.
Ai Magazine (1994)

889 Citations

A softbot-based interface to the Internet

Oren Etzioni;Daniel Weld.
Communications of The ACM (1994)

815 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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