Andrew Russ

890 total citations
26 papers, 685 citations indexed

About

Andrew Russ is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Andrew Russ has authored 26 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 13 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Andrew Russ's work include Remote Sensing in Agriculture (14 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Soil Geostatistics and Mapping (5 papers). Andrew Russ is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Soil Geostatistics and Mapping (5 papers). Andrew Russ collaborates with scholars based in United States, Spain and Netherlands. Andrew Russ's co-authors include Craig S. T. Daughtry, Pamela L. Nagler, Yoshio Inoue, Edward P. Glenn, Hongliang Fang, Mingzhen Chen, Shunlin Liang, Raymond G. Hunt, C. L. Walthall and William P. Kustas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Andrew Russ

24 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Russ United States 10 412 322 264 132 118 26 685
Saleem Ullah Pakistan 16 404 1.0× 198 0.6× 248 0.9× 96 0.7× 196 1.7× 25 729
Priyakant Sinha Australia 15 412 1.0× 304 0.9× 337 1.3× 107 0.8× 85 0.7× 22 756
Herman Eerens Belgium 12 595 1.4× 543 1.7× 232 0.9× 161 1.2× 170 1.4× 25 877
Yanjun Yang China 12 451 1.1× 279 0.9× 190 0.7× 109 0.8× 217 1.8× 28 778
Yanling Ding China 14 473 1.1× 266 0.8× 325 1.2× 139 1.1× 140 1.2× 33 664
Fábio Marcelo Breunig Brazil 13 579 1.4× 316 1.0× 333 1.3× 71 0.5× 174 1.5× 62 747
Sibylle Itzerott Germany 15 513 1.2× 265 0.8× 296 1.1× 135 1.0× 211 1.8× 34 826
Bahram Daneshfar Canada 14 344 0.8× 260 0.8× 165 0.6× 127 1.0× 140 1.2× 33 700
Vincent Debaecker Germany 9 515 1.3× 356 1.1× 307 1.2× 168 1.3× 79 0.7× 23 829
Asma Ghorbani Iran 14 213 0.5× 158 0.5× 240 0.9× 105 0.8× 157 1.3× 88 722

Countries citing papers authored by Andrew Russ

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Russ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Russ

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Russ. A scholar is included among the top collaborators of Andrew Russ 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 Andrew Russ. Andrew Russ 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.
Anderson, Martha C., Feng Gao, Andrew Russ, et al.. (2025). Hydro-Topographic Contribution to In-Field Crop Yield Variation Using High-Resolution Surface and GPR-Derived Subsurface DEMs. Remote Sensing. 17(17). 3061–3061.
2.
Zhu, Ziyue, Runze Zhang, Bin Fang, et al.. (2024). Precision Soil Moisture Monitoring With Passive Microwave L-Band UAS Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7684–7694. 5 indexed citations
3.
Gao, Feng, Martha C. Anderson, W. Dulaney, et al.. (2023). Integration of Remote Sensing and Field Observations in Evaluating DSSAT Model for Estimating Maize and Soybean Growth and Yield in Maryland, USA. Agronomy. 13(6). 1540–1540. 13 indexed citations
4.
5.
Kim, Seongyun, et al.. (2020). Analysis of Spatiotemporal Variability of Corn Yields Using Empirical Orthogonal Functions. Water. 12(12). 3339–3339. 7 indexed citations
6.
Hunt, E. Raymond, Craig S. T. Daughtry, Alan J. Stern, & Andrew Russ. (2019). Linear Transects of Imagery Increase Crop Monitoring Efficiency Using Fixed‐Wing Unmanned Aircraft Systems. Agricultural & Environmental Letters. 4(1). 1 indexed citations
7.
Campbell, Petya, K. F. Huemmrich, Elizabeth M. Middleton, et al.. (2019). Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales. Remote Sensing. 11(5). 488–488. 86 indexed citations
8.
Timlin, Dennis, et al.. (2019). Evaluation of the agricultural policy environmental extender (APEX) for the Chesapeake Bay watershed. Agricultural Water Management. 221. 477–485. 12 indexed citations
9.
Kerekes, John P., et al.. (2019). Assessing the Impact of Satellite Revisit Rate on Estimation of Corn Phenological Transition Timing through Shape Model Fitting. Remote Sensing. 11(21). 2558–2558. 15 indexed citations
10.
Daughtry, Craig S. T., et al.. (2018). Robust Forest Cover Indices for Multispectral Images. Photogrammetric Engineering & Remote Sensing. 84(8). 505–512. 5 indexed citations
11.
Daughtry, Craig S. T., et al.. (2018). Landsat-8 and Worldview-3 Data for Assessing Crop Residue Cover. 3844–3847. 7 indexed citations
12.
Zhang, Qingyuan, Elizabeth M. Middleton, Yen-Ben Cheng, et al.. (2016). Integrating chlorophyll fAPAR and nadir photochemical reflectance index from EO-1/Hyperion to predict cornfield daily gross primary production. Remote Sensing of Environment. 186. 311–321. 24 indexed citations
13.
Alfieri, Joseph G., John H. Prueger, T. J. Gish, et al.. (2016). The effective evaluation height for flux-gradient relationships and its application to herbicide fluxes. Agricultural and Forest Meteorology. 232. 682–688. 5 indexed citations
14.
Gish, T. J., John H. Prueger, Craig S. T. Daughtry, et al.. (2011). Comparison of Field‐scale Herbicide Runoff and Volatilization Losses: An Eight‐Year Field Investigation. Journal of Environmental Quality. 40(5). 1432–1442. 35 indexed citations
15.
Cheng, Yen-Ben, Elizabeth M. Middleton, K. F. Huemmrich, et al.. (2010). Utilizing in situ directional hyperspectral measurements to validate bio-indicator simulations for a corn crop canopy. Ecological Informatics. 5(5). 330–338. 16 indexed citations
16.
Bachmann, Charles M., Robert A. Fusina, Richard G. Lathrop, et al.. (2004). Coastal land-cover mapping: a comparison of PHILLS, HyMAP, and PROBE2 airborne hyperspectral imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5159. 180–180. 2 indexed citations
17.
Nagler, Pamela L., Yoshio Inoue, Edward P. Glenn, Andrew Russ, & Craig S. T. Daughtry. (2003). Cellulose absorption index (CAI) to quantify mixed soil–plant litter scenes. Remote Sensing of Environment. 87(2-3). 310–325. 193 indexed citations
18.
Liang, Shunlin, Andrew Russ, Hongliang Fang, et al.. (2002). Narrowband to broadband conversions of land surface albedo: II. Validation. Remote Sensing of Environment. 84(1). 25–41. 206 indexed citations
19.
Russ, Andrew, et al.. (2000). Regression rate measurements in a hybrid rocket. 36th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 4 indexed citations
20.
Daughtry, Craig S. T., W. Dulaney, C. L. Walthall, et al.. (2000). Spatial variability of leaf chlorophyll derived from hyperspectral images.. 1–15. 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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