Jeff Masek

449 total citations
10 papers, 306 citations indexed

About

Jeff Masek is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Jeff Masek has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Environmental Engineering and 5 papers in Atmospheric Science. Recurrent topics in Jeff Masek's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Forest ecology and management (3 papers). Jeff Masek is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Forest ecology and management (3 papers). Jeff Masek collaborates with scholars based in United States, France and Australia. Jeff Masek's co-authors include C. H. Duncan, E. J. Fielding, Stuart Hardy, Dennis Brown, Beth Ziniti, David M. Johnson, Nathan Torbick, Michele L. Reba, Xiaodong Huang and Éric Vermote and has published in prestigious journals such as Geology, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Jeff Masek

9 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Masek United States	7	120	110	89	73	71	10	306
Ken Watson United States	7	43 0.4×	69 0.6×	172 1.9×	146 2.0×	42 0.6×	19	348
Jimmy Poulin Canada	7	42 0.3×	51 0.5×	74 0.8×	123 1.7×	110 1.5×	27	311
George Stephens United States	7	68 0.6×	31 0.3×	48 0.5×	120 1.6×	182 2.6×	19	272
Nicole Richter Germany	10	35 0.3×	151 1.4×	100 1.1×	76 1.0×	16 0.2×	19	364
Eliana Bellucci Sessa Italy	9	28 0.2×	78 0.7×	78 0.9×	57 0.8×	47 0.7×	21	271
Youngjoo Kwak Japan	12	57 0.5×	15 0.1×	65 0.7×	83 1.1×	246 3.5×	33	331
M. Black United Kingdom	6	124 1.0×	33 0.3×	41 0.5×	112 1.5×	34 0.5×	9	302
Zhonghu Jiao China	12	54 0.5×	138 1.3×	161 1.8×	192 2.6×	184 2.6×	27	453
Danar Guruh Pratomo Indonesia	7	56 0.5×	47 0.4×	25 0.3×	86 1.2×	20 0.3×	70	266
Ronald J. P. Lyon United States	7	204 1.7×	40 0.4×	102 1.1×	32 0.4×	98 1.4×	12	334

Countries citing papers authored by Jeff Masek

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Masek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Masek

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

All Works

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10 of 10 papers shown

Franch, B., Éric Vermote, Sergii Skakun, et al.. (2018). Toward Landsat and Sentinel-2 BRDF Normalization and Albedo Estimation: A Case Study in the Peruvian Amazon Forest. Frontiers in Earth Science. 6. 14 indexed citations

Helder, Dennis, Brian L. Markham, Ron Morfitt, et al.. (2018). Observations and Recommendations for the Calibration of Landsat 8 OLI and Sentinel 2 MSI for Improved Data Interoperability. Remote Sensing. 10(9). 1340–1340. 62 indexed citations

Torbick, Nathan, Xiaodong Huang, Beth Ziniti, et al.. (2018). Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping. Remote Sensing. 10(7). 1058–1058. 47 indexed citations

Claverie, Martin, Éric Vermote, B. Franch, et al.. (2015). Evaluation of Medium Spatial Resolution BRDF-Adjustment Techniques Using Multi-Angular SPOT4 (Take5) Acquisitions. Remote Sensing. 7(9). 12057–12075. 28 indexed citations

Rosette, J., Bruce D. Cook, Ross Nelson, et al.. (2015). Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative. IEEE Geoscience and Remote Sensing Letters. 12(7). 1511–1515. 4 indexed citations

Gao, Feng, Peijuan Wang, & Jeff Masek. (2013). Integrating remote sensing data from multiple optical sensors for ecological and crop condition monitoring. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8869. 886903–886903. 7 indexed citations

Nelson, Mark D., Sean P. Healey, W. Keith Moser, et al.. (2009). Analyzing Landsat time-series data across adjacent path/rows and across multiple cycles of FIA: Lessons learned in southern Missouri. 56.

Healey, Sean P., et al.. (2007). Measurement of forest disturbance and regrowth with Landsat and forest inventory and analysis data: anticipated benefits from forest and inventory analysis' collaboration with the national aeronautics and space administration and university partners. 77. 2 indexed citations

Duncan, C. H., Jeff Masek, & E. J. Fielding. (2002). How steep are the Himalaya? Characteristics and implications of along-strike topographic variations. Geology. 31(1). 75–75. 78 indexed citations

10.

Hardy, Stuart, C. H. Duncan, Jeff Masek, & Dennis Brown. (1998). Minimum work, fault activity and the growth of critical wedges in fold and thrust belts. Basin Research. 10(3). 365–373. 64 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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