Ben Wellner

1.9k citations
33 papers · 1.3k · h-index 18

Impact in

Papers in

    • Topic Modeling 15
    • Natural Language Processing Techniques 13
    • Semantic Web and Ontologies 5
    • Machine Learning in Healthcare 2
    • Biomedical Text Mining and Ontologies 5

Ben Wellner

32 papers receiving 1.2k citations

Peers

Ben Wellner
Comparison fields: 5 of 88
  • Artificial Intelligence 927
  • Management Science and Operations Research 195
  • Geography, Planning and Development 77
  • Health Information Management 53
  • Health Informatics 14
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Citations per year

Countries citing papers authored by Ben Wellner

Since Specialization
Citations

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

Fields of papers citing papers by Ben Wellner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006184
2
Conditional Models of Identity Uncertainty with Application to Noun Coreference
2004164
3 2010111
4 2007101
5
Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference
200394
6 200477
7 201767
8 200851
9 201250
10 201050
11 200645
12 200740
13 201035
14 201134
15 201434
16 200727
17
Sequence models and ranking methods for discourse parsing
200924
18
Object Consolodation by Graph Partitioning with a Conditionally›Trained Distance Metric
200320
19 200512
20 200612

About Ben Wellner

Ben Wellner is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Computer Networks and Communications and Information Systems, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers), Data Quality and Management (5 papers), Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (5 papers), Constraint Satisfaction and Optimization (4 papers), Machine Learning in Healthcare (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (927 citations), Management Science and Operations Research (195 citations), Geography, Planning and Development (77 citations), Health Information Management (53 citations) and Health Informatics (14 citations). Ben Wellner has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Andrew McCallum, James Pustejovsky, Inderjeet Mani, Lynette Hirschman, John Aberdeen, Marc Verhagen, Chongmin Lee, Cheryl Clark, Samuel Bayer and Bradley Malin. Their work appears in journals such as Journal of the American Medical Informatics Association, Language Resources and Evaluation, Journal of Biomedical Informatics, Natural Language Engineering and International Journal of Medical Informatics.

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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