Jacob Shermeyer
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
Papers in
- Ecology 7
- Remote Sensing in Agriculture 7
- Isotope Analysis in Ecology 1
-
- Remote Sensing and LiDAR Applications 4
- Soil Geostatistics and Mapping 3
- Co-authors
- Miguel Quemada (4 shared papers)W. Dean Hively (4 shared papers)Craig S. T. Daughtry (4 shared papers)Brian T. Lamb (4 shared papers)Ryan Lewis (3 shared papers)Adam Van Etten (3 shared papers)Gregory W. McCarty (1 shared paper)Daeil Kim (1 shared paper)
- Journals
- Remote Sensing (2 papers)Forests (1 paper)Remote Sensing of Environment (1 paper)Journal of Applied Remote Sensing (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSpainVietnam
In The Last Decade
Jacob Shermeyer
10 papers receiving 391 citations
Peers
Comparison fields: 5 of 60
- Media Technology 103
- Environmental Engineering 134
- Ecology 182
- Computer Vision and Pattern Recognition 101
- Global and Planetary Change 79
Countries citing papers authored by Jacob Shermeyer
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
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-authors
The 19 scholars most cited alongside Jacob Shermeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2018 | 81 | |
| 3 | 2021 | 81 | |
| 4 | 2017 | 64 | |
| 5 | 2019 | 32 | |
| 6 | 2017 | 24 | |
| 7 | 2015 | 8 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2019 | 1 |
About Jacob Shermeyer
Jacob Shermeyer is a scholar working on Ecology, Environmental Engineering, Computer Vision and Pattern Recognition, Global and Planetary Change and Media Technology, having authored 10 papers that have together received 405 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (4 papers), Soil Geostatistics and Mapping (3 papers), Remote-Sensing Image Classification (2 papers), Video Surveillance and Tracking Methods (2 papers), Land Use and Ecosystem Services (2 papers), Isotope Analysis in Ecology (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Media Technology (103 citations), Environmental Engineering (134 citations), Ecology (182 citations), Computer Vision and Pattern Recognition (101 citations) and Global and Planetary Change (79 citations). Jacob Shermeyer has collaborated with scholars based in United States, Spain and Vietnam. Frequent co-authors include Miguel Quemada, W. Dean Hively, Craig S. T. Daughtry, Brian T. Lamb, Ryan Lewis, Adam Van Etten, Gregory W. McCarty, Daeil Kim, N. Weir and Scott Soenen. Their work appears in journals such as Remote Sensing, Forests, Remote Sensing of Environment, Journal of Applied Remote Sensing and arXiv (Cornell University).
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.