Rezarta Islamaj Dogan

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #13,725 of 35,345 by trust here, #17,776 by citations
• Molecular Biology — 21 citations into it; #2,862 of 17,773 by trust here, #7,496 by citations
• Information Systems — 17 citations into it; #7,922 of 8,771 by trust here, #6,195 by citations
• Genetics — 10 citations into it; #2,796 of 6,854 by trust here, #3,155 by citations
• Management Science and Operations Research — 5 citations into it

Whom Rezarta Islamaj Dogan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Leaman
2. Alan R. Aronson
3. Zhiyong Lu
4. Amanda Spink
5. Andrei Z. Broder
6. Chih-Hsuan Wei
7. George Hripcsak
8. Daniel E. Rose
9. Graciela Gonzalez
10. Paul Thompson

Who trusts Rezarta Islamaj Dogan overall

1. Robert Leaman
2. Zhiyong Lu
3. Chih-Hsuan Wei
4. Jingyuan Sun
5. Fangyu Liu
6. Jiao Li
7. Yifan Peng
8. Sunil Mohan
9. Fei Wang
10. WonJin Yoon

Papers from Rezarta Islamaj Dogan's perspective

Ordered by how strongly the researchers Rezarta Islamaj Dogan trusts endorse each paper. Same corpus, a different order for every researcher.

1. A taxonomy of web search (SIGF)
2. BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (Pacific Symposium on Biocomputing)
3. Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program
4. Technical Brief: Agreement, the F-Measure, and Reliability in Information Retrieval (J. Am. Medical Informatics Assoc.)
5. PubTator: a web-based text mining tool for assisting biocuration
6. Understanding user goals in web search (The Web Conference)
7. New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron (Annual Meeting of the Association for Computational Linguistics)
8. DNorm: disease name normalization with pairwise learning to rank
9. Construction of an annotated corpus to support biomedical information extraction
10. Foundations of Statistical Natural Language Processing

Their papers

• DNorm: disease name normalization with pairwise learning to rank (2013) — 517 citations
• NCBI disease corpus: A resource for disease name recognition and concept normalization (2014) — 945 citations
• Understanding PubMed® user search behavior through log analysis (2009) — 306 citations