Molly Reif

1.7k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Molly Reif is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Molly Reif has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 14 papers in Oceanography and 11 papers in Global and Planetary Change. Recurrent topics in Molly Reif's work include Marine and coastal ecosystems (10 papers), Water Quality Monitoring and Analysis (10 papers) and Remote Sensing in Agriculture (9 papers). Molly Reif is often cited by papers focused on Marine and coastal ecosystems (10 papers), Water Quality Monitoring and Analysis (10 papers) and Remote Sensing in Agriculture (9 papers). Molly Reif collaborates with scholars based in United States and Germany. Molly Reif's co-authors include Charles R. Lane, Robert C. Frohn, Jennifer M. Wozencraft, Debra Simecek-Beatty, Scott Matheson, Eliza S. Bradley, Jan Svejkovsky, Cathleen E. Jones, Benjamin Holt and Dar A. Roberts and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Molly Reif

36 papers receiving 1.0k citations

Hit Papers

State of the art satellit... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Molly Reif United States 15 421 371 346 339 199 37 1.1k
Víctor Martínez-Vicente United Kingdom 21 392 0.9× 278 0.7× 397 1.1× 1.1k 3.3× 260 1.3× 47 1.6k
Robyn N. Conmy United States 23 248 0.6× 492 1.3× 264 0.8× 701 2.1× 239 1.2× 56 1.5k
Mohammad Haji Gholizadeh United States 10 206 0.5× 156 0.4× 223 0.6× 305 0.9× 845 4.2× 16 1.4k
Els Knaeps Belgium 17 400 1.0× 176 0.5× 438 1.3× 746 2.2× 413 2.1× 37 1.4k
Eurico J. D’Sa United States 26 537 1.3× 186 0.5× 633 1.8× 1.7k 4.9× 280 1.4× 86 2.1k
Lixin Dong China 14 355 0.8× 195 0.5× 157 0.5× 158 0.5× 167 0.8× 48 954
Padmanava Dash United States 16 193 0.5× 76 0.2× 215 0.6× 254 0.7× 245 1.2× 49 767
Yuanzhi Yao China 19 387 0.9× 85 0.2× 196 0.6× 278 0.8× 206 1.0× 54 927
Paolo Rossini Italy 15 263 0.6× 244 0.7× 306 0.9× 255 0.8× 75 0.4× 22 1.1k
Susanne Kratzer Sweden 28 542 1.3× 87 0.2× 431 1.2× 1.5k 4.5× 468 2.4× 49 2.0k

Countries citing papers authored by Molly Reif

Since Specialization
Citations

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

Fields of papers citing papers by Molly Reif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Molly Reif

This figure shows the co-authorship network connecting the top 25 collaborators of Molly Reif. A scholar is included among the top collaborators of Molly Reif 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 Molly Reif. Molly Reif 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.
Kerfoot, W. Charles, et al.. (2025). Coastal Environments: LiDAR Mapping of Copper Tailings Impacts, Particle Retention of Copper, Leaching, and Toxicity. Remote Sensing. 17(5). 922–922. 1 indexed citations
2.
Johansen, Richard, et al.. (2024). A Broadscale Assessment of Sentinel-2 Imagery and the Google Earth Engine for the Nationwide Mapping of Chlorophyll a. Sustainability. 16(5). 2090–2090. 3 indexed citations
3.
Reif, Molly, et al.. (2023). Multi-Temporal Trend Analysis of Coastal Vegetation Using Metrics Derived from Hyperspectral and LiDAR Data. Remote Sensing. 15(8). 2098–2098. 3 indexed citations
5.
Reif, Molly, et al.. (2022). Remote sensing-based structural and functional assessments of Phragmites australis diebacks in the Mississippi River Delta. Ecological Indicators. 135. 108549–108549. 7 indexed citations
6.
Kerfoot, W. Charles, et al.. (2021). Coastal Remote Sensing: Merging Physical, Chemical, and Biological Data as Tailings Drift onto Buffalo Reef, Lake Superior. Remote Sensing. 13(13). 2434–2434. 8 indexed citations
7.
Rowland, Michael A., Todd M. Swannack, Michael L. Mayo, et al.. (2021). COVID-19 infection data encode a dynamic reproduction number in response to policy decisions with secondary wave implications. Scientific Reports. 11(1). 10875–10875. 4 indexed citations
8.
Xu, Min, Hongxing Liu, Richard Beck, et al.. (2021). Implementation Strategy and Spatiotemporal Extensibility of Multipredictor Ensemble Model for Water Quality Parameter Retrieval With Multispectral Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 10 indexed citations
9.
Reif, Molly, et al.. (2021). Nearshore Benthic Mapping in the Great Lakes: A Multi-Agency Data Integration Approach in Southwest Lake Michigan. Remote Sensing. 13(15). 3026–3026. 7 indexed citations
10.
Xu, Min, Hongxing Liu, Richard Beck, et al.. (2019). Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4758–4774. 37 indexed citations
11.
McKay, S. Kyle, et al.. (2019). Unpacking the Black Box: Demystifying Ecological Models Through Interactive Workshops and Hands-On Learning. Frontiers in Environmental Science. 7. 9 indexed citations
12.
Johansen, Richard, Richard Beck, Jakub Nowosad, et al.. (2018). Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations. Harmful Algae. 76. 35–46. 23 indexed citations
13.
Reif, Molly, et al.. (2016). Remote sensing for restoration ecology: Application for restoring degraded, damaged, transformed, or destroyed ecosystems. Integrated Environmental Assessment and Management. 13(4). 614–630. 36 indexed citations
15.
Reif, Molly, et al.. (2015). Conceptual Model Development for Sea Turtle Nesting Habitat: Support for USACE Navigation Projects. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 1 indexed citations
16.
Reif, Molly & Todd M. Swannack. (2014). Development of landscape metrics to support process-driven ecological modeling. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).
17.
Reif, Molly, et al.. (2014). An Enhanced Three-Step Oxidation Process to Improve Oxide Adhesion on Zirconium Alloys. Oxidation of Metals. 82(1-2). 99–112. 8 indexed citations
18.
Fritz, Ken M., E. D’Amico, Molly Reif, et al.. (2013). Comparing the Extent and Permanence of Headwater Streams From Two Field Surveys to Values From Hydrographic Databases and Maps. JAWRA Journal of the American Water Resources Association. 49(4). 867–882. 86 indexed citations
19.
Frohn, Robert C., et al.. (2011). Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery. International Journal of Remote Sensing. 32(5). 1471–1489. 80 indexed citations
20.
Frohn, Robert C., et al.. (2009). Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data. Wetlands. 29(3). 931–941. 84 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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