J. E. Doherty

1.9k total citations
35 papers, 1.5k citations indexed

About

J. E. Doherty is a scholar working on Environmental Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, J. E. Doherty has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 10 papers in Mechanical Engineering and 8 papers in Ocean Engineering. Recurrent topics in J. E. Doherty's work include Groundwater flow and contamination studies (14 papers), Reservoir Engineering and Simulation Methods (6 papers) and Hydrology and Watershed Management Studies (6 papers). J. E. Doherty is often cited by papers focused on Groundwater flow and contamination studies (14 papers), Reservoir Engineering and Simulation Methods (6 papers) and Hydrology and Watershed Management Studies (6 papers). J. E. Doherty collaborates with scholars based in United States, Australia and Russia. J. E. Doherty's 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 and has published in prestigious journals such as Journal of Applied Physics, Water Resources Research and Journal of the American Ceramic Society.

In The Last Decade

J. E. Doherty

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. E. Doherty United States	19	771	505	381	301	282	35	1.5k
Kuo‐Chin Hsu Taiwan	22	1.2k 1.6×	397 0.8×	296 0.8×	338 1.1×	328 1.2×	79	1.9k
Thomas Graf Germany	27	841 1.1×	139 0.3×	397 1.0×	269 0.9×	416 1.5×	91	2.0k
B. S. Christensen Denmark	12	536 0.7×	291 0.6×	212 0.6×	497 1.7×	120 0.4×	18	1.3k
J. Capilla Spain	16	597 0.8×	323 0.6×	152 0.4×	515 1.7×	105 0.4×	50	1.1k
Ran Holtzman Israel	19	397 0.5×	93 0.2×	236 0.6×	470 1.6×	138 0.5×	55	1.2k
George Zyvoloski United States	21	721 0.9×	269 0.5×	374 1.0×	265 0.9×	83 0.3×	69	1.4k
Arzhang Khalili Germany	24	242 0.3×	73 0.1×	219 0.6×	218 0.7×	58 0.2×	57	1.8k
A. Zanini Italy	20	491 0.6×	104 0.2×	99 0.3×	217 0.7×	138 0.5×	74	1.1k
Frédérick Delay France	22	1.0k 1.3×	200 0.4×	349 0.9×	280 0.9×	139 0.5×	70	1.4k
Dubravka Pokrajac United Kingdom	29	405 0.5×	121 0.2×	243 0.6×	394 1.3×	24 0.1×	82	2.5k

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-authorship network of co-authors of J. E. Doherty

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

White, Jeremy T., Randall J. Hunt, Michael N. Fienen, & J. E. Doherty. (2020). Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis. Techniques and methods. 98 indexed citations

White, Jeremy T., David E. Welter, Randall J. Hunt, & J. E. Doherty. (2015). Integrating Linear-Based Uncertainty Analyses into PEST++. 2 indexed citations

Nolan, Bernard T., Robert W. Malone, J. E. Doherty, et al.. (2014). Data worth and prediction uncertainty for pesticide transport and fate models in Nebraska and Maryland, United States. Pest Management Science. 71(7). 972–985. 8 indexed citations

Doherty, J. E., et al.. (2013). Parameter and predictive outcomes of model simplification. Water Resources Research. 49(7). 3952–3977. 42 indexed citations

Fienen, Michael N., Marco D’Oria, J. E. Doherty, & Randall J. Hunt. (2013). Approaches in highly parameterized inversion: bgaPEST, a Bayesian geostatistical approach implementation with PEST: documentation and instructions. Techniques and methods. 19 indexed citations

Welter, David E., et al.. (2012). Approaches in highly parameterized inversion - PEST++, a Parameter ESTimation code optimized for large environmental models. Techniques and methods. 21 indexed citations

Fienen, Michael N., Randall J. Hunt, J. E. Doherty, & Howard W. Reeves. (2011). Using models for the optimization of hydrologic monitoring. Fact sheet. 3 indexed citations

Doherty, J. E., Randall J. Hunt, & Matthew Tonkin. (2010). Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis. Scientific investigations report. i–71. 87 indexed citations

Fienen, Michael N., J. E. Doherty, Randall J. Hunt, & Howard W. Reeves. (2010). Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project. Scientific investigations report. 71 indexed citations

10.

Doherty, J. E. & Randall J. Hunt. (2010). Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration. Scientific investigations report. 255 indexed citations

11.

James, Scott, et al.. (2009). Practical Postcalibration Uncertainty Analysis: Yucca Mountain, Nevada. Ground Water. 47(6). 851–869. 43 indexed citations

12.

Doherty, J. E., et al.. (1989). Pulsed eddy current flaw detection and flaw characterization. NDT International. 22(3). 183–183. 2 indexed citations

13.

Heelis, R. A., W. B. Hanson, C. R. Lippincott, et al.. (1981). The Ion Drift Meter for Dynamics Explorer-B. 5(4). 511–521. 97 indexed citations

14.

Doherty, J. E., et al.. (1978). Computer-Aided Inspection of Near-Net-Shape Turbine Disks. Journal of Aircraft. 15(7). 413–415.

15.

Doherty, J. E.. (1976). Chemical vapor deposition of structural ceramic materials. JOM. 28(6). 6–10.

16.

Doherty, J. E., A. F. Giamei, & B. H. Kear. (1975). Influence of differential dislocation mobility on the fatigue behavior of alloyed. Metallurgical Transactions A. 6(12). 20 indexed citations

17.

Johnson, W. C., J. E. Doherty, B.H. Kear, & A. F. Giamei. (1974). Confirmation of sulfur embrittlement in nickel alloys. Scripta Metallurgica. 8(8). 971–974. 63 indexed citations

18.

Kear, B. H., J. E. Doherty, A. F. Giamei, & Laurent Lemaire. (1972). Morphology of γ Precipitates in Ni-Rich γ'-Ni₃ (Al,Ta). Proceedings annual meeting Electron Microscopy Society of America. 30. 588–589. 1 indexed citations

19.

Doherty, J. E. & D. F. Gibbons. (1971). Deformation Peaks in αZirconium. Journal of Applied Physics. 42(11). 4502–4503. 7 indexed citations

20.

Doherty, J. E., et al.. (1971). Direct Observation of a New Coherent Precipitate in Commercial Nickel-Base Alloys. Proceedings annual meeting Electron Microscopy Society of America. 29. 198–199. 1 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.

Explore authors with similar magnitude of impact