Jacob Shermeyer

653 total citations
10 papers, 395 citations indexed

About

Jacob Shermeyer is a scholar working on Ecology, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacob Shermeyer has authored 10 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 6 papers in Environmental Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jacob Shermeyer's work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (4 papers) and Soil Geostatistics and Mapping (3 papers). Jacob Shermeyer is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (4 papers) and Soil Geostatistics and Mapping (3 papers). Jacob Shermeyer collaborates with scholars based in United States, Spain and Vietnam. Jacob Shermeyer's co-authors include Craig S. T. Daughtry, Brian T. Lamb, W. Dean Hively, Miguel Quemada, David B. Hogan, Adam Van Etten, Ryan Lewis, Gregory W. McCarty, Daeil Kim and N. Weir and has published in prestigious journals such as Remote Sensing of Environment, Remote Sensing and Forests.

In The Last Decade

Jacob Shermeyer

10 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob Shermeyer United States	7	182	133	101	97	78	10	395
Reza Shah–Hosseini Iran	15	157 0.9×	117 0.9×	201 2.0×	93 1.0×	128 1.6×	55	510
Jyun-Ping Jhan Taiwan	10	80 0.4×	159 1.2×	59 0.6×	87 0.9×	68 0.9×	17	400
Vincent Poulain France	8	134 0.7×	103 0.8×	153 1.5×	41 0.4×	73 0.9×	16	346
Luyi Sun China	10	105 0.6×	100 0.8×	96 1.0×	59 0.6×	91 1.2×	29	397
Panu Srestasathiern Thailand	9	138 0.8×	168 1.3×	150 1.5×	144 1.5×	49 0.6×	29	450
Massimiliano Gargiulo Italy	8	142 0.8×	69 0.5×	159 1.6×	85 0.9×	77 1.0×	18	340
Camille Desjardins France	9	217 1.2×	161 1.2×	97 1.0×	31 0.3×	135 1.7×	18	428
Shucheng You China	9	210 1.2×	149 1.1×	265 2.6×	124 1.3×	129 1.7×	25	580
P. V. Arun India	8	90 0.5×	131 1.0×	142 1.4×	108 1.1×	58 0.7×	27	428
Lingjia Gu China	14	132 0.7×	130 1.0×	165 1.6×	92 0.9×	73 0.9×	83	575

Countries citing papers authored by Jacob Shermeyer

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Shermeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Shermeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Shermeyer. A scholar is included among the top collaborators of Jacob Shermeyer 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 Jacob Shermeyer. Jacob Shermeyer 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

1.

Shermeyer, Jacob, et al.. (2021). RarePlanes: Synthetic Data Takes Flight. 207–217. 77 indexed citations

2.

Etten, Adam Van, Jacob Shermeyer, David B. Hogan, N. Weir, & Ryan Lewis. (2020). Road Network and Travel Time Extraction from Multiple Look Angles with Spacenet Data. arXiv (Cornell University). 3920–3923. 6 indexed citations

3.

Shermeyer, Jacob, David B. Hogan, Jason Brown, et al.. (2020). SpaceNet 6: Multi-Sensor All Weather Mapping Dataset. elib (German Aerospace Center). 768–777. 100 indexed citations

4.

Shermeyer, Jacob. (2019). Comet Time Series Visualizer: CometTS. The Journal of Open Source Software. 4(42). 1047–1047. 1 indexed citations

5.

Hively, W. Dean, et al.. (2019). Mapping Crop Residue by Combining Landsat and WorldView-3 Satellite Imagery. Remote Sensing. 11(16). 1857–1857. 32 indexed citations

6.

Quemada, Miguel, W. Dean Hively, Craig S. T. Daughtry, Brian T. Lamb, & Jacob Shermeyer. (2018). Improved Crop Residue Cover Estimates from Satelite Images by Coupling Residue and Water Spectral Indices. 5425–5428. 3 indexed citations

7.

Hively, W. Dean, Brian T. Lamb, Craig S. T. Daughtry, et al.. (2018). Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices. Remote Sensing. 10(10). 1657–1657. 81 indexed citations

8.

Quemada, Miguel, W. Dean Hively, Craig S. T. Daughtry, Brian T. Lamb, & Jacob Shermeyer. (2017). Improved crop residue cover estimates obtained by coupling spectral indices for residue and moisture. Remote Sensing of Environment. 206. 33–44. 63 indexed citations

9.

Vogelmann, James E., et al.. (2017). Assessment of Forest Degradation in Vietnam Using Landsat Time Series Data. Forests. 8(7). 238–238. 24 indexed citations

10.

Shermeyer, Jacob & Barry Haack. (2015). Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru. Journal of Applied Remote Sensing. 9(1). 96040–96040. 8 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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