J. E. Doherty

1.9k citations

35 papers · 1.5k indexed · h-index 19

Impact in

Environmental Engineering top 1%
- Groundwater flow and contamination studies
Geochemistry and Petrology top 2%
- Groundwater and Isotope Geochemistry

Papers in ⓘ

Environmental Engineering 15
- Groundwater flow and contamination studies 14
General Materials Science 2

Co-authors: Randall J. Hunt (11 shared papers)Michael N. Fienen (6 shared papers)Jeremy T. White (5 shared papers)A. F. Giamei (6 shared papers)B. H. Kear (4 shared papers)J. M. Oblak (1 shared paper)Matthew Tonkin (3 shared papers)D. F. Gibbons (3 shared papers)
Journals: Techniques and methods (5 papers)Water Resources Research (2 papers)JOM (2 papers)Exploration Geophysics (1 paper)Pest Management Science (1 paper)
Partner nations: United States Australia Russia

In The Last Decade

J. E. Doherty

32 papers receiving 1.3k citations

Peers

Replace Jan‐Olof Selroos with:

Jan‐Olof Selroos Sweden

Tomochika Tokunaga Japan

A. Zanini Italy

George Zyvoloski United States

Matthew W. Becker United States

Christian Ostertag-Henning Germany

J. D. Redman Canada

Suzanne Hurter Australia

Ran Holtzman Israel

Robert A. Schincariol Canada

J. E. Doherty relative to Jan‐Olof Selroos Sweden Jan‐Olof Selroos's profile →

Citations per field

00.5×2×4×6.5×

Jan‐Olof Selroos · 1×

×0.9 771/879

EE

×1.3 282/211

GP

×4.2 505/120

WST

×1.8 301/163

OE

×6.5 39/6

MA

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Countries citing papers authored by J. E. Doherty

Since Specialization

Citations

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

Fields of papers citing papers by J. E. Doherty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Doherty. 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 J. E. Doherty. The network helps show where J. E. Doherty may publish in the future.

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration Scientific investigations report ·J. E. Doherty, Randall J. Hunt	2010	255
2	Precipitation of γ in the γ′of nickel-base superalloys Metallurgical Transactions ·J. M. Oblak, J. E. Doherty, A. F. Giamei, B. H. Kear	1974	142
3	Approaches to highly parameterized inversion: Pilot-point theory, guidelines, and research directions Scientific investigations report ·J. E. Doherty, Michael N. Fienen, Randall J. Hunt	2011	102
4	A python framework for environmental model uncertainty analysis Environmental Modelling & Software ·Jeremy T. White, Michael N. Fienen, J. E. Doherty	2016	101
5	Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis Techniques and methods ·Jeremy T. White, Randall J. Hunt, Michael N. Fienen, J. E. Doherty	2020	98
6	The Ion Drift Meter for Dynamics Explorer-B R. A. Heelis, W. B. Hanson, C. R. Lippincott, D. R. Zuccaro, L. H. Harmon, B. J. Holt, J. E. Doherty, R. A. Power	1981	97
7	Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis Scientific investigations report ·J. E. Doherty, Randall J. Hunt, Matthew Tonkin	2010	87
8	Approaches in highly parameterized inversion—PEST++ Version 3, a Parameter ESTimation and uncertainty analysis software suite optimized for large environmental models Techniques and methods ·David E. Welter, Jeremy T. White, Randall J. Hunt, J. E. Doherty	2015	77
9	Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project Scientific investigations report ·Michael N. Fienen, J. E. Doherty, Randall J. Hunt, Howard W. Reeves	2010	71
10	Quantifying the predictive consequences of model error with linear subspace analysis Water Resources Research ·Jeremy T. White, J. E. Doherty, Joseph D. Hughes	2014	69
11	Confirmation of sulfur embrittlement in nickel alloys Scripta Metallurgica ·W. C. Johnson, J. E. Doherty, B.H. Kear, A. F. Giamei	1974	63
12	Practical Postcalibration Uncertainty Analysis: Yucca Mountain, Nevada Ground Water ·Scott James, J. E. Doherty, A. Eddebbarh	2009	43
13	Parameter and predictive outcomes of model simplification Water Resources Research ·Ty A. Watson, J. E. Doherty, Steen Christensen	2013	42
14	Internal friction studies in some titanium and zirconium based alloys Acta Metallurgica ·J. E. Doherty, D. F. Gibbons	1971	39
15	The importance of grain boundary morphology and cohesion on intergranular strength Canadian Metallurgical Quarterly ·J. E. Doherty, A. F. Giamei, B.H. Kear	1974	28
16	On the origin of the ductility enhancement in Hf-doped Mar-M200 JOM ·J. E. Doherty, B. H. Kea, A. F. Giamei	1971	23
17	Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models Techniques and methods ·David E. Welter, J. E. Doherty, Randall J. Hunt, Christopher T. Muffels, Matthew Tonkin, Willem A. Schreüder	2012	21
18	Influence of differential dislocation mobility on the fatigue behavior of alloyed Metallurgical Transactions A ·J. E. Doherty, A. F. Giamei, B. H. Kear	1975	20
19	Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions Techniques and methods ·Michael N. Fienen, Marco D’Oria, J. E. Doherty, Randall J. Hunt	2013	19
20	Failure Prediction of the Thermal Fatigue of Silicon Nitride Journal of the American Ceramic Society ·D. P. H. Hasselman, E. P. Chen, C. L. AMMANN, J. E. Doherty, C. G. Nessler	1975	16

About J. E. Doherty

J. E. Doherty is a scholar working on Environmental Engineering, General Materials Science, Statistics, Probability and Uncertainty, Ceramics and Composites and Ocean Engineering, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (14 papers), Hydrology and Watershed Management Studies (6 papers), Reservoir Engineering and Simulation Methods (6 papers), High Temperature Alloys and Creep (5 papers), Intermetallics and Advanced Alloy Properties (4 papers), Geophysical and Geoelectrical Methods (3 papers), Fatigue and fracture mechanics (3 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Environmental Engineering (771 citations), Geochemistry and Petrology (282 citations), Water Science and Technology (505 citations), Ocean Engineering (301 citations) and Metals and Alloys (39 citations). J. E. Doherty has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Randall J. Hunt, Michael N. Fienen, Jeremy T. White, A. F. Giamei, B. H. Kear, J. M. Oblak, Matthew Tonkin, D. F. Gibbons, B.H. Kear and David E. Welter. Their work appears in journals such as Techniques and methods, Water Resources Research, JOM, Exploration Geophysics and Pest Management Science.

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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