Joel Nothman

1.6k citations
30 papers · 980 · h-index 12

Impact in

Papers in

Joel Nothman

30 papers receiving 862 citations

Peers

Joel Nothman
Comparison fields: 5 of 67
  • Artificial Intelligence 899
  • Management Science and Operations Research 169
  • Communication 82
  • Information Systems 124
  • Computer Vision and Pattern Recognition 97
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Lev Ratinov United States
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Citations per field
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Citations per year

Countries citing papers authored by Joel Nothman

Since Specialization
Citations

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

Fields of papers citing papers by Joel Nothman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012210
2 2017206
3 2012155
4 200969
5
Transforming Wikipedia into Named Entity Training Data
200857
6
Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.
201555
7 200936
8 201830
9 201424
10
Overview of TAC-KBP2017 13 Languages Entity Discovery and Linking.
201721
11
Event Linking: Grounding Event Reference in a News Archive
201217
12
Document-level Entity Linking: CMCRC at TAC 2010
201012
13
Overview of TAC-KBP2016 Tri-lingual EDL and Its Impact on End-to-End KBP.
201611
14 20099
15
(Almost) Total Recall - SYDNEY CMCRC at TAC 2012.
20128
16
Learning Named Entity Recognition from Wikipedia
20088
17 20178
18 20197
19
Classifying articles in English and German Wikipedia
20097
20 20216

About Joel Nothman

Joel Nothman is a scholar working on Artificial Intelligence, Management Science and Operations Research, Communication, Molecular Biology and Computer Networks and Communications, having authored 30 papers that have together received 980 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers), Data Quality and Management (9 papers), Wikis in Education and Collaboration (5 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Advanced Database Systems and Queries (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Artificial Intelligence (899 citations), Management Science and Operations Research (169 citations), Communication (82 citations), Information Systems (124 citations) and Computer Vision and Pattern Recognition (97 citations). Joel Nothman has collaborated with scholars based in Australia, United States and China. Frequent co-authors include James Curran, Tara Murphy, Will Radford, Ben Hachey, Nicky Ringland, Heng Ji, Matthew Honnibal, Xiaoman Pan, Boliang Zhang and Jonathan May. Their work appears in journals such as Theory and applications of categories, Artificial Intelligence, JMIR mhealth and uhealth, Meeting of the Association for Computational Linguistics and UPT. Syiah Kuala University Library (Syiah Kuala University).

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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