Stephen W. Searcy
- Plant Science top 5%
- Environmental Engineering top 5%
- Mechanics of Materials top 5%
- Biomedical Engineering top 10%
- Ecology top 10%
- Co-authors
- Heungjo AnWilbert E. WilhelmJohn F. ReidB. A. StoutWon Suk LeeS. C. BorgeltJ. Alex ThomassonJohn K. Schueller
- Topics
- Smart Agriculture and AI (17 papers)Spectroscopy and Chemometric Analyses (9 papers)Forest Biomass Utilization and Management (9 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Stephen W. Searcy
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Plant Science 392
- Environmental Engineering 292
- Mechanics of Materials 279
- Biomedical Engineering 266
- Ecology 199
Countries citing papers authored by Stephen W. Searcy
This map shows the geographic impact of Stephen W. Searcy'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 Stephen W. Searcy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen W. Searcy more than expected).
Fields of papers citing papers by Stephen W. Searcy
This network shows the impact of papers produced by Stephen W. Searcy. 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 Stephen W. Searcy. The network helps show where Stephen W. Searcy may publish in the future.
Co-authorship network of co-authors of Stephen W. Searcy
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Searcy. A scholar is included among the top collaborators of Stephen W. Searcy 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 Stephen W. Searcy. Stephen W. Searcy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 136 | |
| 7 | 180 | |
| 8 | Operator Feedback System for the Module Builder | 0 |
| 9 | 20 | |
| 10 | 5 | |
| 11 | Cotton yield mapping: Texas experiences in 1999. | 14 |
| 12 | Multispectral sensor for detecting nitrogen in corn plants. | 22 |
| 13 | An algorithm for estimating plant height using a light screen. | 2 |
| 14 | Evaluation of cotton yield mapping | 4 |
| 15 | Comparison of Bayesian and neural network classifiers for grading carrots | 4 |
| 16 | A neural network for carrot tip classification | 4 |
| 17 | Distributed control for vision based tractor guidance | 8 |
| 18 | Feature extraction for a vision based shrimp deheader | 4 |
| 19 | 24 | |
| 20 | 24 |
About Stephen W. Searcy
Stephen W. Searcy is a scholar working on Analytical Chemistry, Agronomy and Crop Science and Plant Science, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Smart Agriculture and AI (17 papers), Spectroscopy and Chemometric Analyses (9 papers) and Forest Biomass Utilization and Management (9 papers). The work is most often cited by research in Environmental Engineering (292 citations), Analytical Chemistry (113 citations) and Mechanics of Materials (279 citations). Stephen W. Searcy has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Heungjo An, Wilbert E. Wilhelm, John F. Reid, B. A. Stout, Won Suk Lee, S. C. Borgelt, J. Alex Thomasson, John K. Schueller, Young-Ho Bae and George J. Sabbagh. Their work appears in journals such as Bioresource Technology, Soil Science Society of America Journal and Remote Sensing.
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.