Jeff Swartout

514 total citations
13 papers, 243 citations indexed

About

Jeff Swartout is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology and Infectious Diseases. According to data from OpenAlex, Jeff Swartout has authored 13 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 3 papers in Water Science and Technology and 2 papers in Infectious Diseases. Recurrent topics in Jeff Swartout's work include Toxic Organic Pollutants Impact (3 papers), Air Quality and Health Impacts (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Jeff Swartout is often cited by papers focused on Toxic Organic Pollutants Impact (3 papers), Air Quality and Health Impacts (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Jeff Swartout collaborates with scholars based in United States. Jeff Swartout's co-authors include Glenn Rice, Rita Schoeny, Kathryn R. Mahaffey, James D. Englehardt, Gregory L. Kedderis, Tony Cox, Linda K. Teuschler, John C. Lipscomb, Alan H. Stern and Jackie K. Patterson and has published in prestigious journals such as Risk Analysis, Journal of Toxicology and Environmental Health and Human and Ecological Risk Assessment An International Journal.

In The Last Decade

Jeff Swartout

12 papers receiving 230 citations

Peers

Countries citing papers authored by Jeff Swartout

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Swartout

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Swartout

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	A New Theoretical Discrete Growth Distribution with Verification for Microbial Counts in Water 2009 ·Risk Analysis ·James D. Englehardt, Jeff Swartout, (unknown)	18
2	Predictive Bayesian Microbial Dose‐Response Assessment Based on Suggested Self‐Organization in Primary Illness Response:Cryptosporidium parvum 2006 ·Risk Analysis ·James D. Englehardt, Jeff Swartout	14
3	Estimating the Frequency of Tap-Water Exposures To Mycobacterium avium Complex in the U.S. Population with Advanced AIDS 2005 ·Journal of Toxicology and Environmental Health ·Glenn Rice, James M Wright, Brenda Boutin, Jeff Swartout, (unknown), Nancy A. Niemuth, Michael S. Broder	8
4	Predictive Population Dose-Response Assessment for Cryptosporidium parvum: Infection Endpoint 2004 ·Journal of Toxicology and Environmental Health ·James D. Englehardt, Jeff Swartout	11
5	The Impact of Cytochrome P450 2E1‐Dependent Metabolic Variance on a Risk‐Relevant Pharmacokinetic Outcome in Humans 2003 ·Risk Analysis ·John C. Lipscomb, Linda K. Teuschler, Jeff Swartout, (unknown), Tony Cox, Gregory L. Kedderis	49
6	An Objective Uncertainty Factor Adjustment for Methyl mercury Pharmacokinetic Variability 2002 ·Human and Ecological Risk Assessment An International Journal ·Alan H. Stern, Harvey J. Clewell, Jeff Swartout	6
7	An Objective Uncertainty Factor Adjustment for Methyl mercury Pharmacokinetic Variability 2002 ·Human and Ecological Risk Assessment An International Journal ·Alan H. Stern, Harvey J. Clewell, Jeff Swartout	4
8	DERIVATION OF U.S. EPA'S ORAL REFERENCE DOSE (RFD) FOR METHYLMERCURY 2000 ·Drug and Chemical Toxicology ·Glenn Rice, Jeff Swartout, Kathryn R. Mahaffey, Rita Schoeny	94
9	UNCERTAINTY ANALYSIS OF THE ESTIMATED INGESTION RATES USED TO DERIVE THE METHYLMERCURY REFERENCE DOSE 2000 ·Drug and Chemical Toxicology ·Jeff Swartout, Glenn Rice	22
10	Characterization of Risks Posed by Combustor Emissions 1999 ·Drug and Chemical Toxicology ·Glenn Rice, Jeff Swartout, (unknown), David Reisman, (unknown), (unknown)	4
11	Response to Comments on “An Approach for Modeling Noncancer Dose Responses with an Emphasis on Uncertainty” and “A Probabilistic Framework for the Reference Dose (Probabilistic RfD)” 1999 ·Risk Analysis ·Paul S. Price, (unknown), Jeff Swartout, Michael L. Dourson	2
12	The U.S. Environmental Protection Agency's Integrated Risk Information System (IRIS). 1990 ·PubMed ·Rita Schoeny, Jackie K. Patterson, Jeff Swartout, (unknown)	11
13	THE OAK RIDGE HIGH FLUX ISOTOPE REACTOR 1964 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Jeff Swartout, (unknown), Thomas E. Cole, R.D. Cheverton, (unknown), Caroline Winters	0

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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