Joe Ellis

870 total citations
16 papers, 529 citations indexed

About

Joe Ellis is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joe Ellis has authored 16 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joe Ellis's work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (5 papers). Joe Ellis is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (5 papers). Joe Ellis collaborates with scholars based in United States, France and Switzerland. Joe Ellis's co-authors include Kira Griffitt, Heng Ji, Hoa Trang Dang, Ralph Grishman, Stephanie Strassel, Zhiyi Song, Ann Bies, Jonathan Wright, Justin L. Mott and Xiaoyi Ma and has published in prestigious journals such as The American Journal of Cardiology, Language Resources and Evaluation and Coronary Artery Disease.

In The Last Decade

Joe Ellis

16 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joe Ellis United States 10 487 83 73 44 24 16 529
Zhiyi Song United States 11 337 0.7× 40 0.5× 56 0.8× 47 1.1× 25 1.0× 22 473
Julie Tibshirani United States 6 524 1.1× 73 0.9× 84 1.2× 49 1.1× 31 1.3× 10 554
Thomas Lin United States 12 335 0.7× 45 0.5× 94 1.3× 51 1.2× 28 1.2× 17 393
Luciano Del Corro Germany 7 427 0.9× 55 0.7× 87 1.2× 38 0.9× 41 1.7× 10 459
Eric Crestan United States 8 245 0.5× 80 1.0× 110 1.5× 23 0.5× 28 1.2× 12 294
Octavian-Eugen Ganea Switzerland 6 419 0.9× 125 1.5× 38 0.5× 38 0.9× 43 1.8× 9 439
Nathalie Hernández France 7 94 0.2× 16 0.2× 57 0.8× 24 0.5× 17 0.7× 26 172
Elmar Haußmann Germany 8 318 0.7× 43 0.5× 79 1.1× 23 0.5× 42 1.8× 12 354
Chen-Tse Tsai United States 9 328 0.7× 54 0.7× 46 0.6× 30 0.7× 52 2.2× 15 348
Yefei Peng United States 10 229 0.5× 49 0.6× 166 2.3× 81 1.8× 12 0.5× 25 276

Countries citing papers authored by Joe Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Joe Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Ellis. A scholar is included among the top collaborators of Joe Ellis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joe Ellis. Joe Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Ellis, Joe, et al.. (2018). Laying the Groundwork for Knowledge Base Population: Nine Years of Linguistic Resources for TAC KBP.. Language Resources and Evaluation. 10 indexed citations
2.
Ho, John S., Shannon J. FitzGerald, David Léonard, et al.. (2018). Relation of Coronary Artery Diameters With Cardiorespiratory Fitness. The American Journal of Cardiology. 121(9). 1065–1071. 2 indexed citations
3.
Ellis, Joe, et al.. (2017). Overview of Linguistic Resources for the TAC KBP 2017 Evaluations: Methodologies and Results.. Theory and applications of categories. 19 indexed citations
4.
Song, Zhiyi, Ann Bies, Stephanie Strassel, et al.. (2016). Event Nugget and Event Coreference Annotation. 37–45. 7 indexed citations
5.
Bies, Ann, Zhiyi Song, Joe Ellis, et al.. (2016). A Comparison of Event Representations in DEFT. 27–36. 10 indexed citations
6.
Ellis, Joe, et al.. (2015). Overview of Linguistic Resources for the TAC KBP 2015 Evaluations: Methodologies and Results.. Theory and applications of categories. 31 indexed citations
7.
Song, Zhiyi, Ann Bies, Stephanie Strassel, et al.. (2015). From Light to Rich ERE: Annotation of Entities, Relations, and Events. 89–98. 91 indexed citations
8.
Ho, John S., et al.. (2015). Low 25-OH vitamin D levels are not associated with coronary artery calcium or obstructive stenoses. Coronary Artery Disease. 26(6). 521–525. 18 indexed citations
10.
Ellis, Joe, et al.. (2014). Overview of Linguistic Resource for the TAC KBP 2014 Evaluations: Planning, Execution, and Results. 10 indexed citations
11.
Ho, John S., et al.. (2013). Utility of High-Sensitivity C-Reactive Protein Versus Coronary Artery Calcium for the Detection of Obstructive Stenoses in Stable Patients. The American Journal of Cardiology. 111(3). 328–332. 5 indexed citations
12.
Strassel, Stephanie, et al.. (2012). Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual. Language Resources and Evaluation. 3098–3105. 4 indexed citations
13.
Ellis, Joe, et al.. (2012). Linguistic Resources for 2012 Knowledge Base Population Evaluations. Theory and applications of categories. 13 indexed citations
14.
Wright, Jonathan, et al.. (2012). Annotation Trees: LDC's customizable, extensible, scalable, annotation infrastructure. Language Resources and Evaluation. 479–485. 7 indexed citations
15.
Ellis, Joe, et al.. (2011). Linguistic Resources for 2011 Knowledge Base Population Evaluation.. Theory and applications of categories. 3 indexed citations
16.
Ji, Heng, Ralph Grishman, Hoa Trang Dang, Kira Griffitt, & Joe Ellis. (2010). Overview of the TAC 2010 Knowledge Base Population Track. 251 indexed citations

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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