D. R. Harp

2.4k total citations
79 papers, 1.7k citations indexed

About

D. R. Harp is a scholar working on Environmental Engineering, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, D. R. Harp has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Environmental Engineering, 37 papers in Ocean Engineering and 22 papers in Mechanical Engineering. Recurrent topics in D. R. Harp's work include CO2 Sequestration and Geologic Interactions (28 papers), Reservoir Engineering and Simulation Methods (24 papers) and Hydraulic Fracturing and Reservoir Analysis (21 papers). D. R. Harp is often cited by papers focused on CO2 Sequestration and Geologic Interactions (28 papers), Reservoir Engineering and Simulation Methods (24 papers) and Hydraulic Fracturing and Reservoir Analysis (21 papers). D. R. Harp collaborates with scholars based in United States, Saudi Arabia and Norway. D. R. Harp's co-authors include Rajesh Pawar, Bailian Chen, Bicheng Yan, Ethan T. Coon, A. L. Atchley, Scott Painter, Velimir V. Vesselinov, Cathy J. Wilson, Elizabeth Keating and Philip H. Stauffer and has published in prestigious journals such as Energy & Environmental Science, Scientific Reports and Water Resources Research.

In The Last Decade

D. R. Harp

77 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. R. Harp United States 22 837 689 505 454 152 79 1.7k
T. A. Meckel United States 21 1.0k 1.2× 568 0.8× 518 1.0× 127 0.3× 298 2.0× 86 1.6k
David Dempsey New Zealand 19 312 0.4× 207 0.3× 317 0.6× 177 0.4× 215 1.4× 69 1.1k
Toshihiro Sakaki United States 22 865 1.0× 338 0.5× 178 0.4× 210 0.5× 109 0.7× 59 1.5k
George Zyvoloski United States 21 721 0.9× 265 0.4× 374 0.7× 96 0.2× 369 2.4× 69 1.4k
Benjamin J. Rostron Canada 16 459 0.5× 432 0.6× 331 0.7× 83 0.2× 459 3.0× 39 1.1k
Allan D. Woodbury Canada 26 1.5k 1.8× 390 0.6× 261 0.5× 294 0.6× 78 0.5× 65 2.0k
Vittorio Di Federico Italy 26 969 1.2× 493 0.7× 646 1.3× 74 0.2× 121 0.8× 118 1.9k
A. S. Grader United States 20 611 0.7× 861 1.2× 946 1.9× 84 0.2× 574 3.8× 82 1.8k
Shaoping Chu United States 14 445 0.5× 242 0.4× 281 0.6× 117 0.3× 90 0.6× 44 730
Michael J. Pyrcz United States 23 356 0.4× 746 1.1× 515 1.0× 198 0.4× 431 2.8× 87 1.7k

Countries citing papers authored by D. R. Harp

Since Specialization
Citations

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

Fields of papers citing papers by D. R. Harp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. R. Harp. 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 D. R. Harp. The network helps show where D. R. Harp may publish in the future.

Co-authorship network of co-authors of D. R. Harp

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

All Works

20 of 20 papers shown
1.
Chen, Bailian, et al.. (2025). Deep learning accelerated inverse modeling and forecasting for large-scale geologic CO2 sequestration. International journal of greenhouse gas control. 144. 104383–104383.
2.
Rajaram, Harihar, et al.. (2024). Sub‐Diurnal Methane Variations on Mars Driven by Barometric Pumping and Planetary Boundary Layer Evolution. Journal of Geophysical Research Planets. 129(1). 2 indexed citations
3.
Abolt, Charles J., A. L. Atchley, D. R. Harp, et al.. (2024). Topography Controls Variability in Circumpolar Permafrost Thaw Pond Expansion. Journal of Geophysical Research Earth Surface. 129(9). 1 indexed citations
5.
Neil, Chelsea W., Hakim Boukhalfa, Hongwu Xu, et al.. (2022). Gas diffusion through variably-water-saturated zeolitic tuff: Implications for transport following a subsurface nuclear event. Journal of Environmental Radioactivity. 250. 106905–106905. 10 indexed citations
6.
Rajaram, Harihar, et al.. (2022). Barometric Pumping Through Fractured Rock: A Mechanism for Venting Deep Methane to Mars' Atmosphere. Geophysical Research Letters. 49(14). 6 indexed citations
7.
Jafarov, Elchin, et al.. (2022). The importance of freeze–thaw cycles for lateral tracer transport in ice-wedge polygons. ˜The œcryosphere. 16(3). 851–862. 5 indexed citations
8.
Harp, D. R., et al.. (2021). Continental‐Scale Geographic Trends in Barometric‐Pumping Efficiency Potential: A North American Case Study. Geophysical Research Letters. 48(17). 6 indexed citations
9.
Harp, D. R., Vitaly A. Zlotnik, Charles J. Abolt, et al.. (2021). New insights into the drainage of inundated ice-wedge polygons using fundamental hydrologic principles. ˜The œcryosphere. 15(8). 4005–4029. 3 indexed citations
10.
Zlotnik, Vitaly A., D. R. Harp, Elchin Jafarov, & Charles J. Abolt. (2020). A Model of Ice Wedge Polygon Drainage in Changing Arctic Terrain. Water. 12(12). 3376–3376. 5 indexed citations
11.
Person, Mark, et al.. (2020). Using SF6 and Xe to Monitor Gas Migration Through Explosion‐Generated Fracture Networks. Journal of Geophysical Research Solid Earth. 125(5). 4 indexed citations
12.
Abolt, Charles J., Michael H. Young, A. L. Atchley, D. R. Harp, & Ethan T. Coon. (2020). Feedbacks Between Surface Deformation and Permafrost Degradation in Ice Wedge Polygons, Arctic Coastal Plain, Alaska. Journal of Geophysical Research Earth Surface. 125(3). 20 indexed citations
13.
Yan, Bicheng, et al.. (2020). A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in Fully Three-Dimensional Heterogeneous Reservoirs. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
14.
Harp, D. R., et al.. (2020). Discriminating Underground Nuclear Explosions Leading To Late‐Time Radionuclide Gas Seeps. Geophysical Research Letters. 47(13). 13 indexed citations
15.
Harp, D. R., et al.. (2019). Identification of dominant gas transport frequencies during barometric pumping of fractured rock. Scientific Reports. 9(1). 9537–9537. 21 indexed citations
16.
Abolt, Charles J., Michael H. Young, A. L. Atchley, & D. R. Harp. (2018). Microtopographic control on the ground thermal regime in ice wedge polygons. ˜The œcryosphere. 12(6). 1957–1968. 35 indexed citations
17.
Lin, Yen‐Heng, et al.. (2017). Geologic Carbon Sequestration Leakage Detection: A Physics-Guided Machine Learning Approach. AGU Fall Meeting Abstracts. 2017. 2 indexed citations
18.
Harp, D. R., et al.. (2017). A Machine-Learning and Filtering Based Data Assimilation Framework for Geologic Carbon Sequestration Monitoring Optimization. AGUFM. 2017. 1 indexed citations
19.
Harp, D. R., A. L. Atchley, Scott Painter, et al.. (2015). Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations
20.
Harp, D. R. & Velimir V. Vesselinov. (2010). Identification of Pumping Influences in Long‐Term Water Level Fluctuations. Ground Water. 49(3). 403–414. 18 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

Rankless by CCL
2026