J. Michael Johnson

745 total citations
23 papers, 417 citations indexed

About

J. Michael Johnson is a scholar working on Global and Planetary Change, Water Science and Technology and Oceanography. According to data from OpenAlex, J. Michael Johnson has authored 23 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 3 papers in Oceanography. Recurrent topics in J. Michael Johnson's work include Flood Risk Assessment and Management (12 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrology and Drought Analysis (6 papers). J. Michael Johnson is often cited by papers focused on Flood Risk Assessment and Management (12 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrology and Drought Analysis (6 papers). J. Michael Johnson collaborates with scholars based in United States, Netherlands and Canada. J. Michael Johnson's co-authors include Keith Clarke, Dinuke Munasinghe, Sagy Cohen, Marthe Wens, Ted Veldkamp, Hugo A. Loáiciga, Lilit Yeghiazarian, Arash Modaresi Rad, Toon Haer and R. Lasage and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

J. Michael Johnson

21 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Michael Johnson United States 14 274 169 72 71 47 23 417
Isaac Larbi Ghana 15 299 1.1× 149 0.9× 95 1.3× 82 1.2× 49 1.0× 31 430
Alfred Awotwi Ghana 12 303 1.1× 196 1.2× 56 0.8× 83 1.2× 24 0.5× 22 458
Simon Moulds United Kingdom 13 271 1.0× 160 0.9× 120 1.7× 122 1.7× 26 0.6× 31 505
Naveed Ahmed China 14 377 1.4× 218 1.3× 170 2.4× 104 1.5× 75 1.6× 33 604
Aiqing Feng China 13 326 1.2× 123 0.7× 153 2.1× 78 1.1× 37 0.8× 32 477
Demetrios E. Tsesmelis Greece 12 383 1.4× 102 0.6× 49 0.7× 59 0.8× 138 2.9× 25 518
Byung Sik Kim South Korea 11 290 1.1× 215 1.3× 113 1.6× 110 1.5× 27 0.6× 61 430
Mahdi Erfanian Iran 9 233 0.9× 92 0.5× 55 0.8× 97 1.4× 21 0.4× 24 339
Enes Yıldırım United States 12 303 1.1× 147 0.9× 121 1.7× 100 1.4× 20 0.4× 19 433
Robert E. Nicholas United States 11 193 0.7× 120 0.7× 70 1.0× 55 0.8× 49 1.0× 29 459

Countries citing papers authored by J. Michael Johnson

Since Specialization
Citations

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

Fields of papers citing papers by J. Michael Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Michael Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Michael Johnson. A scholar is included among the top collaborators of J. Michael Johnson 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. Michael Johnson. J. Michael Johnson 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.
Johnson, J. Michael, et al.. (2024). Improved National‐Scale Above‐Normal Flow Prediction for Gauged and Ungauged Basins Using a Spatio‐Temporal Hierarchical Model. Water Resources Research. 60(1). 6 indexed citations
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Johnson, J. Michael, Shahab Afshari, & Arash Modaresi Rad. (2024). AHGestimation: An R package for computing robust, masspreserving hydraulic geometries and rating curves. The Journal of Open Source Software. 9(96). 6145–6145. 1 indexed citations
5.
Johnson, J. Michael, A. Sankarasubramanian, Arash Modaresi Rad, et al.. (2023). Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection. Journal of Geophysical Research Atmospheres. 128(24). 21 indexed citations
6.
Saksena, Siddharth, et al.. (2023). Urban Flood Modeling: Uncertainty Quantification and Physics‐Informed Gaussian Processes Regression Forecasting. Water Resources Research. 59(3). 16 indexed citations
7.
Rad, Arash Modaresi, John T. Abatzoglou, Erica Fleishman, et al.. (2023). Social vulnerability of the people exposed to wildfires in U.S. West Coast states. Science Advances. 9(38). eadh4615–eadh4615. 22 indexed citations
8.
Johnson, J. Michael, et al.. (2023). Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions. Environmental Modelling & Software. 172. 105893–105893. 7 indexed citations
9.
Johnson, J. Michael, D. L. Blodgett, Keith Clarke, & Jonathan Pollak. (2023). Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations. Scientific Data. 10(1). 725–725. 15 indexed citations
10.
Johnson, J. Michael & Keith Clarke. (2021). An area preserving method for improved categorical raster resampling. Cartography and Geographic Information Science. 48(4). 292–304. 16 indexed citations
11.
Clarke, Keith & J. Michael Johnson. (2020). Calibrating SLEUTH with big data: Projecting California's land use to 2100. Computers Environment and Urban Systems. 83. 101525–101525. 28 indexed citations
12.
Johnson, J. Michael, et al.. (2019). An integrated evaluation of the National Water Model (NWM)–Height Above Nearest Drainage (HAND) flood mapping methodology. Natural hazards and earth system sciences. 19(11). 2405–2420. 100 indexed citations
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Clarke, Keith, et al.. (2019). Contemporary American cartographic research: a review and prospective. Cartography and Geographic Information Science. 46(3). 196–209. 25 indexed citations
15.
Wens, Marthe, et al.. (2019). Integrating human behavior dynamics into drought risk assessment—A sociohydrologic, agent‐based approach. Wiley Interdisciplinary Reviews Water. 6(4). 53 indexed citations
16.
Johnson, J. Michael, et al.. (2018). Challenges and Opportunities for Creating Intelligent Hazard Alerts: The “FloodHippo” Prototype. JAWRA Journal of the American Water Resources Association. 54(4). 872–881. 16 indexed citations
17.
Johnson, J. Michael & Hugo A. Loáiciga. (2017). Coupled Infiltration and Kinematic-Wave Runoff Simulation in Slopes: Implications for Slope Stability. Water. 9(5). 327–327. 8 indexed citations
18.
Levy, Joel M., Derrick Snowden, Kathleen Crane, et al.. (2011). The Global Ocean Observing Component of IOOS: Implementation of the Initial Global Ocean Observing System for Climate and the Path Forward. Marine Technology Society Journal. 45(1). 9–18. 2 indexed citations
19.
Garzoli, Silvia L., Rana A. Fine, С. В. Гладышев, et al.. (2010). Progressing Towards Global Sustained Deep Ocean Observations. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 354–365. 16 indexed citations
20.
Johnson, J. Michael, et al.. (2005). Building a global ocean observing system for climate. 1894–1898 Vol. 2. 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.

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2026