Emily B. Schultz

26 papers receiving 265 citations

Peers

Emily B. Schultz
Comparison fields: 5 of 69
  • Computational Theory and Mathematics 101
  • Geometry and Topology 51
  • Agronomy and Crop Science 44
  • Nature and Landscape Conservation 38
  • Global and Planetary Change 61
Replace J.C. Fournier with:
J.C. Fournier France
Guofeng Wang China
E. Müller Germany
Thomas Thornton United States
Jiarui Zhou United Kingdom
Sneha Murmu India
Martin Paar Czechia
Alžběta Rejšková Czechia
Clifford A. Kapono United States
Mingxiu Wang China
Emily B. Schultz relative to J.C. Fournier France J.C. Fournier's profile →
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Countries citing papers authored by Emily B. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Emily B. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily B. Schultz. 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 Emily B. Schultz. The network helps show where Emily B. Schultz may publish in the future.

Co-authors

The 25 scholars most cited alongside Emily B. Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emily B. Schultz Line = papers co-authored together Emily B. Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200852
2 201149
3 199548
4 199028
5 199218
6 199312
7 201110
8 201710
9 20169
10 19948
11 20076
12 20115
13 20104
14
A Growth and Yield Model for Predicting Both Forest Stumpage and Mill Side Manufactured Product Yields and Economics
20063
15
A Neural Network Model for Wood Chip Thickness Distributions
19993
16 20163
17
Characterization of poplar ZIP family members ZIP1.2 and ZNT1
20123
18 19623
19 20082
20 20142

About Emily B. Schultz

Emily B. Schultz is a scholar working on Nature and Landscape Conservation, Mechanics of Materials, Global and Planetary Change, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 31 papers that have together received 289 indexed citations. Recurring topics across this work include Forest ecology and management (13 papers), Forest Biomass Utilization and Management (8 papers), Computational Drug Discovery Methods (7 papers), Forest Management and Policy (7 papers), Seedling growth and survival studies (7 papers), History and advancements in chemistry (6 papers), Remote Sensing and LiDAR Applications (5 papers) and Plant Micronutrient Interactions and Effects (3 papers). The work is most often cited by research in Computational Theory and Mathematics (101 citations), Geometry and Topology (51 citations), Agronomy and Crop Science (44 citations), Nature and Landscape Conservation (38 citations) and Global and Planetary Change (61 citations). Emily B. Schultz has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Harry P. Schultz, Tor P. Schultz, Thomas G. Matney, Donald L. Grebner, Changyou Sun, Gustavo Pérez-Verdín, Ian A. Munn, Joshua P. Adams, Richard L. Harkess and Çetin Yüceer. Their work appears in journals such as Forest Science, Southern Journal of Applied Forestry, Journal of Experimental Botany, Plant Biotechnology Journal and Forests.

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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