Raphael Hoffmann

2.7k citations
16 papers · 1.1k indexed · 1 hit paper · h-index 12

Raphael Hoffmann

15 papers receiving 1.0k citations

Hit Papers

Knowledge-Based Weak Supervision for Information Extracti...5422011202620162021100200300400500

Peers

Raphael Hoffmann
Comparison fields: 5 of 70
  • Artificial Intelligence 884
  • Computer Science Applications 102
  • Information Systems 292
  • Management Science and Operations Research 133
  • Communication 69
Replace María Vargas-Vera with:
María Vargas-Vera United Kingdom
Denny Vrandečić Germany
Vitor R. Carvalho United States
Max Völkel Germany
Yiu‐Kai Ng United States
Sebastian Schaffert Germany
James Mayfield United States
Heiko Haller Germany
Gordon W. Paynter New Zealand
Katharina Siorpaes Austria
Raphael Hoffmann relative to María Vargas-Vera United Kingdom María Vargas-Vera's profile →
Citations per field
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María Vargas-Vera · 1×
Citations per year

Countries citing papers authored by Raphael Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20210
2 20154
3
Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction
201356
4
Personalized Online Education — A Crowdsourcing Challenge
201243
5
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relationsbreakdown →
2011542
6
Machine Reading at the University of Washington
201022
7
Learning 5000 Relational Extractors
201081
8
Supporting rule-based representations with corpus-derived lexical information.
20102
9 200940
10 200936
11 200917
12
Intelligence in wikipedia
200842
13
Augmenting wikipedia-extraction with results from the web
20082
14 200884
15 200831
16 2007105

About Raphael Hoffmann

Raphael Hoffmann is a scholar working on Communication, Computer Science Applications, Artificial Intelligence, Information Systems and Forestry, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers), Wikis in Education and Collaboration (5 papers), Web Data Mining and Analysis (4 papers), Software Engineering Research (3 papers), Semantic Web and Ontologies (3 papers), Open Source Software Innovations (3 papers) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Artificial Intelligence (884 citations), Computer Science Applications (102 citations), Information Systems (292 citations), Management Science and Operations Research (133 citations) and Communication (69 citations). Raphael Hoffmann has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Congle Zhang, Daniel S. Weld, Daniel S. Weld, Xiao Ling, Luke Zettlemoyer, Fei Wu, James Fogarty, Wei Xu, Ralph Grishman and Le Zhao. Their work appears in journals such as ACM SIGMOD Record, Ciência Florestal, North American Chapter of the Association for Computational Linguistics, National Conference on Artificial Intelligence and Meeting 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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