Franklin B. Sullivan

739 total citations
22 papers, 508 citations indexed

About

Franklin B. Sullivan is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Franklin B. Sullivan has authored 22 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 8 papers in Nature and Landscape Conservation and 8 papers in Ecology. Recurrent topics in Franklin B. Sullivan's work include Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (8 papers) and Cryospheric studies and observations (7 papers). Franklin B. Sullivan is often cited by papers focused on Remote Sensing and LiDAR Applications (13 papers), Forest ecology and management (8 papers) and Cryospheric studies and observations (7 papers). Franklin B. Sullivan collaborates with scholars based in United States, Indonesia and Brazil. Franklin B. Sullivan's co-authors include Michael Palace, Mark J. Ducey, C Herrick, R. N. Treuhaft, Julia Z. Shimbo, João Roberto dos Santos, Paulo Maurı́cio Lima de Alencastro Graça, S.N. Madsen, Michael Keller and David A. Orwig and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Journal of Hydrology.

In The Last Decade

Franklin B. Sullivan

21 papers receiving 499 citations

Peers

Franklin B. Sullivan
K. Kovacs United States
Otto Alvarez United States
Matthew Brolly United Kingdom
L. Spaete United States
Victoria Meyer United States
Hamdan Omar Malaysia
Jan Komárek Czechia
K. Kovacs United States
Franklin B. Sullivan
Citations per year, relative to Franklin B. Sullivan Franklin B. Sullivan (= 1×) peers K. Kovacs

Countries citing papers authored by Franklin B. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Franklin B. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franklin B. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Franklin B. Sullivan. A scholar is included among the top collaborators of Franklin B. Sullivan 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 Franklin B. Sullivan. Franklin B. Sullivan 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.
Sullivan, Franklin B., et al.. (2023). Evaluating the Effects of UAS Flight Speed on Lidar Snow Depth Estimation in a Heterogeneous Landscape. Remote Sensing. 15(21). 5091–5091.
2.
Jacobs, Jennifer M., et al.. (2023). Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape. ˜The œcryosphere. 17(8). 3435–3442. 3 indexed citations
3.
Jacobs, Jennifer M., Franklin B. Sullivan, Michael Palace, et al.. (2021). Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States. ˜The œcryosphere. 15(3). 1485–1500. 46 indexed citations
4.
Cho, Eunsang, et al.. (2021). Maximum entropy modeling to identify physical drivers of shallow snowpack heterogeneity using unpiloted aerial system (UAS) lidar. Journal of Hydrology. 602. 126722–126722. 6 indexed citations
5.
Jacobs, Jennifer M., Franklin B. Sullivan, Michael Palace, et al.. (2020). Shallow snow depth mapping with unmanned aerial systems lidar observations: A case study in Durham, New Hampshire, United States. 3 indexed citations
6.
Ollinger, Scott V., Andrew P. Ouimette, Rebecca Sanders‐DeMott, et al.. (2020). Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest. Remote Sensing. 12(2). 309–309. 47 indexed citations
7.
Ferraz, António, S. S. Saatchi, Liang Xu, et al.. (2019). Aboveground Biomass, Landcover, and Degradation, Kalimantan Forests, Indonesia, 2014. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 1 indexed citations
8.
Hagen, Stephen, Franklin B. Sullivan, T. Pearson, et al.. (2018). Automated method for measuring the extent of selective logging damage with airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing. 139. 228–240. 19 indexed citations
9.
Ferraz, António, Sassan Saatchi, Liang Xu, et al.. (2018). Carbon storage potential in degraded forests of Kalimantan, Indonesia. Environmental Research Letters. 13(9). 95001–95001. 31 indexed citations
10.
Hagen, Stephen, Franklin B. Sullivan, T. Pearson, et al.. (2017). CMS: LiDAR Data for Forested Sites on Borneo Island, Kalimantan, Indonesia, 2014. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 2 indexed citations
11.
Sullivan, Franklin B., Mark J. Ducey, David A. Orwig, Bruce D. Cook, & Michael Palace. (2017). Comparison of lidar- and allometry-derived canopy height models in an eastern deciduous forest. Forest Ecology and Management. 406. 83–94. 25 indexed citations
12.
Hagen, Stephen, Franklin B. Sullivan, T. Pearson, et al.. (2017). CMS: LiDAR-derived Canopy Height, Elevation for Sites in Kalimantan, Indonesia, 2014. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 3 indexed citations
14.
Palace, Michael, Franklin B. Sullivan, Mark J. Ducey, & C Herrick. (2016). Estimating Tropical Forest Structure Using a Terrestrial Lidar. PLoS ONE. 11(4). e0154115–e0154115. 46 indexed citations
15.
Palace, Michael, Franklin B. Sullivan, Mark J. Ducey, et al.. (2015). Estimating forest structure in a tropical forest using field measurements, a synthetic model and discrete return lidar data. Remote Sensing of Environment. 161. 1–11. 82 indexed citations
16.
Herrick, C, et al.. (2014). Use of High Resolution UAS Imagery to Classify Sub-Arctic Vegetation Types. 2014 AGU Fall Meeting. 2014. 1 indexed citations
17.
Treuhaft, R. N., F. G. Gonçalves, João Roberto dos Santos, et al.. (2014). Exploring Vegetation Profiles from TanDEM-X Phase, Lidar, and Field Measurements in Tropical Forests. 1–3. 5 indexed citations
18.
Treuhaft, R. N., João Roberto dos Santos, Michael Keller, et al.. (2014). Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. IEEE Geoscience and Remote Sensing Letters. 12(2). 239–243. 82 indexed citations
19.
Sullivan, Franklin B., Michael Palace, & Mark J. Ducey. (2014). Multivariate statistical analysis of asynchronous lidar data and vegetation models in a neotropical forest. Remote Sensing of Environment. 154. 368–377. 11 indexed citations
20.
Sullivan, Franklin B., et al.. (2012). Foliar nitrogen in relation to plant traits and reflectance properties of New Hampshire forests. Canadian Journal of Forest Research. 43(1). 18–27. 17 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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