Rave Harpaz

2.8k total citations
34 papers, 2.0k citations indexed

About

Rave Harpaz is a scholar working on Toxicology, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Rave Harpaz has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Toxicology, 18 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Rave Harpaz's work include Pharmacovigilance and Adverse Drug Reactions (26 papers), Computational Drug Discovery Methods (18 papers) and Biomedical Text Mining and Ontologies (10 papers). Rave Harpaz is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (26 papers), Computational Drug Discovery Methods (18 papers) and Biomedical Text Mining and Ontologies (10 papers). Rave Harpaz collaborates with scholars based in United States, Spain and United Kingdom. Rave Harpaz's co-authors include Nigam H. Shah, Carol Friedman, William DuMouchel, Herbert Chase, Paea LePendu, Patrick Ryan, Anna Bauer‐Mehren, Santiago Vilar, C Friedman and Raúl Rabadán and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Pattern Recognition.

In The Last Decade

Rave Harpaz

34 papers receiving 2.0k citations

Peers

Countries citing papers authored by Rave Harpaz

Since Specialization

Citations

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

Fields of papers citing papers by Rave Harpaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rave Harpaz

This figure shows the co-authorship network connecting the top 25 collaborators of Rave Harpaz. A scholar is included among the top collaborators of Rave Harpaz 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 Rave Harpaz. Rave Harpaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Signaling COVID-19 Vaccine Adverse Events 2022 ·Drug Safety ·Rave Harpaz, William DuMouchel, (unknown), (unknown), S. Bright, Ana Szarfman, Joseph M. Tonning, (unknown)	15
2	Extracting Positive Mentions of Adverse Drug Reactions from Product Labels using a Machine Learning Centric Approach. 2017 ·Theory and applications of categories ·Rave Harpaz, William DuMouchel	1
3	Toward multimodal signal detection of adverse drug reactions 2017 ·Journal of Biomedical Informatics ·Rave Harpaz, William DuMouchel, Martijn J. Schuemie, Olivier Bodenreider, Carol Friedman, Eric Horvitz, (unknown), Alfred Sorbello, Ryen W. White, Rainer Winnenburg, Nigam H. Shah	28
4	Early identification of adverse drug reactions from search log data 2015 ·Journal of Biomedical Informatics ·Ryen W. White, Sheng Wang, (unknown), Rave Harpaz, (unknown), (unknown), William DuMouchel, Eric Horvitz	45
5	Leveraging MEDLINE indexing for pharmacovigilance – Inherent limitations and mitigation strategies 2015 ·Journal of Biomedical Informatics ·Rainer Winnenburg, Alfred Sorbello, (unknown), Rave Harpaz, Joseph M. Tonning, Ana Szarfman, Henry Francis, Olivier Bodenreider	18
6	Big Data and Adverse Drug Reaction Detection 2015 ·Clinical Pharmacology & Therapeutics ·Rave Harpaz, (unknown), (unknown)	32
7	Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art 2014 ·Drug Safety ·Rave Harpaz, Alison Callahan, Suzanne Tamang, Yen Low, (unknown), Sam Finlayson, Kenneth Jung, Paea LePendu, Nigam H. Shah	164
8	Toward Enhanced Pharmacovigilance Using Patient-Generated Data on the Internet 2014 ·Clinical Pharmacology & Therapeutics ·(unknown), Rave Harpaz, Nigam H. Shah, William DuMouchel, Eric Horvitz	69
9	A time-indexed reference standard of adverse drug reactions 2014 ·Scientific Data ·Rave Harpaz, (unknown), Greg Gaskin, William DuMouchel, Rainer Winnenburg, Olivier Bodenreider, (unknown), Ana Szarfman, Alfred Sorbello, Eric Horvitz, Ryen W. White, Nigam H. Shah	33
10	Pharmacovigilance Using Clinical Notes 2013 ·Clinical Pharmacology & Therapeutics ·Paea LePendu, Srinivasan Iyer, Anna Bauer‐Mehren, Rave Harpaz, Jonathan Mortensen, Tanya Podchiyska, Todd Ferris, Nigam H. Shah	124
11	Mining clinical text for signals of adverse drug-drug interactions 2013 ·Journal of the American Medical Informatics Association ·Srinivasan Iyer, Rave Harpaz, Paea LePendu, Anna Bauer‐Mehren, Nigam H. Shah	125
12	Performance of Pharmacovigilance Signal-Detection Algorithms for the FDA Adverse Event Reporting System 2013 ·Clinical Pharmacology & Therapeutics ·Rave Harpaz, William DuMouchel, Paea LePendu, Anna Bauer‐Mehren, Patrick Ryan, Nigam H. Shah	240
13	Novel Data-Mining Methodologies for Adverse Drug Event Discovery and Analysis 2012 ·Clinical Pharmacology & Therapeutics ·Rave Harpaz, William DuMouchel, Nigam H. Shah, David Madigan, Patrick Ryan, C Friedman	276
14	Drug—drug interaction through molecular structure similarity analysis 2012 ·Journal of the American Medical Informatics Association ·Santiago Vilar, Rave Harpaz, Eugenio Uriarte, Lourdes Santana, Raúl Rabadán, Carol Friedman	201
15	Enhancing Adverse Drug Event Detection in Electronic Health Records Using Molecular Structure Similarity: Application to Pancreatitis 2012 ·PLoS ONE ·Santiago Vilar, Rave Harpaz, Lourdes Santana, Eugenio Uriarte, Carol Friedman	22
16	Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis 2011 ·Journal of the American Medical Informatics Association ·Santiago Vilar, Rave Harpaz, Herbert Chase, Stefano Costanzi, Raúl Rabadán, Carol Friedman	50
17	Biclustering of Adverse Drug Events in the FDA's Spontaneous Reporting System 2010 ·Clinical Pharmacology & Therapeutics ·Rave Harpaz, Hector R. Perez, Herbert Chase, Raúl Rabadán, George Hripcsak, C Friedman	57
18	Mining multi-item drug adverse effect associations in spontaneous reporting systems 2010 ·BMC Bioinformatics ·Rave Harpaz, Herbert Chase, Carol Friedman	140
19	Model-based linear manifold clustering 2008 ·Robert M. Haralick, Rave Harpaz	1
20	Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning 2006 ·Rave Harpaz, Robert M. Haralick	14

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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