Stephen E. Reutebuch

2.3k total citations
26 papers, 1.8k citations indexed

About

Stephen E. Reutebuch is a scholar working on Environmental Engineering, Nature and Landscape Conservation and Insect Science. According to data from OpenAlex, Stephen E. Reutebuch has authored 26 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 17 papers in Nature and Landscape Conservation and 11 papers in Insect Science. Recurrent topics in Stephen E. Reutebuch's work include Remote Sensing and LiDAR Applications (21 papers), Forest ecology and management (17 papers) and Forest Ecology and Biodiversity Studies (11 papers). Stephen E. Reutebuch is often cited by papers focused on Remote Sensing and LiDAR Applications (21 papers), Forest ecology and management (17 papers) and Forest Ecology and Biodiversity Studies (11 papers). Stephen E. Reutebuch collaborates with scholars based in United States, Brazil and New Zealand. Stephen E. Reutebuch's co-authors include Robert J. McGaughey, Hans‐Erik Andersen, W. W. Carson, Marcus Vinício Neves d'Oliveira, Michael Keller, Johannes Breidenbach, Edgar Kublin, G. R. Oliver, Stephen H. Pearce and Peter N. Beets and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Photogrammetric Engineering & Remote Sensing.

In The Last Decade

Stephen E. Reutebuch

24 papers receiving 1.6k citations

Peers

Stephen E. Reutebuch

NLC

ECOLO

GPC

Juan Carlos Pinilla Suárez United Kingdom

Sakari Tuominen Finland

Murray Woods Canada

António Ferraz United States

Peter Krzystek Germany

J. Rosette United Kingdom

Markus Holopainen Finland

Sylvie Durrieu France

Jörgen Wallerman Sweden

Phil Wilkes United Kingdom

Juan Carlos Pinilla Suárez United Kingdom

Stephen E. Reutebuch

1.1k ×0.7

691 ×0.7

NLC

729 ×1.1

ECOLO

278 ×0.5

388 ×0.8

GPC

Citations per year, relative to Stephen E. Reutebuch Stephen E. Reutebuch (= 1×) peers Juan Carlos Pinilla Suárez

Countries citing papers authored by Stephen E. Reutebuch

Since Specialization

Citations

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

Fields of papers citing papers by Stephen E. Reutebuch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Reutebuch. 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 E. Reutebuch. The network helps show where Stephen E. Reutebuch may publish in the future.

Co-authorship network of co-authors of Stephen E. Reutebuch

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen E. Reutebuch. A scholar is included among the top collaborators of Stephen E. Reutebuch 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 E. Reutebuch. Stephen E. Reutebuch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Strunk, Jacob L., Stephen E. Reutebuch, Robert J. McGaughey, & Hans‐Erik Andersen. (2024). An examination of GNSS positioning under dense conifer forest canopy in the Pacific Northwest, USA. Remote Sensing Applications Society and Environment. 37. 101428–101428. 1 indexed citations

McGaughey, Robert J., et al.. (2017). Effect of Occupation Time on the Horizontal Accuracy of a Mapping-Grade GNSS Receiver under Dense Forest Canopy. Photogrammetric Engineering & Remote Sensing. 83(12). 861–868. 27 indexed citations

McGaughey, Robert J., Stephen E. Reutebuch, Bernard R. Parresol, et al.. (2014). Quantitative analysis of woodpecker habitat using high-resolution airborne LiDAR estimates of forest structure and composition. Remote Sensing of Environment. 145. 68–80. 30 indexed citations

Andersen, Hans‐Erik, Stephen E. Reutebuch, Robert J. McGaughey, Marcus Vinício Neves d'Oliveira, & Michael Keller. (2013). Monitoring selective logging in western Amazonia with repeat lidar flights. Remote Sensing of Environment. 151. 157–165. 98 indexed citations

Beets, Peter N., Stephen E. Reutebuch, Mark O. Kimberley, et al.. (2011). Leaf Area Index, Biomass Carbon and Growth Rate of Radiata Pine Genetic Types and Relationships with LiDAR. Forests. 2(3). 637–659. 27 indexed citations

Breidenbach, Johannes, Edgar Kublin, Robert J. McGaughey, Hans‐Erik Andersen, & Stephen E. Reutebuch. (2008). Mixed-effects models for estimating stand volume by means of small footprint airborne laser scanner data.. 21(1). 4–15. 31 indexed citations

McGaughey, Robert J., et al.. (2008). Assessing the influence of flight parameters, interferometric processing, slope and canopy density on the accuracy of X‐band IFSAR‐derived forest canopy height models. International Journal of Remote Sensing. 29(5). 1495–1510. 16 indexed citations

Breidenbach, Johannes, Robert J. McGaughey, Hans‐Erik Andersen, & Stephen E. Reutebuch. (2007). A MIXED-EFFECTS MODEL TO ESTIMATE STAND VOLUME BY MEANS OF SMALL FOOTPRINT AIRBORNE LIDAR DATA FOR AN AMERICAN AND A GERMAN STUDY SITE. 15 indexed citations

McGaughey, Robert J., Hans‐Erik Andersen, & Stephen E. Reutebuch. (2006). CONSIDERATIONS FOR PLANNING, ACQI;IRING, AND PROCESSING LIDAR DATA FOR FORESTRY APPLICATIONS. 1 indexed citations

10.

Andersen, Hans‐Erik, Stephen E. Reutebuch, & Robert J. McGaughey. (2006). A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods. Canadian Journal of Remote Sensing. 32(5). 355–366. 260 indexed citations

11.

Andersen, Hans‐Erik, Robert J. McGaughey, & Stephen E. Reutebuch. (2005). Estimating forest canopy fuel parameters using LIDAR data. Remote Sensing of Environment. 94(4). 441–449. 438 indexed citations

12.

Reutebuch, Stephen E., Hans‐Erik Andersen, & Robert J. McGaughey. (2005). Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory. Journal of Forestry. 103(6). 286–292. 271 indexed citations

13.

Andersen, Hans‐Erik, et al.. (2004). A comparison of forest canopy models derived from LIDAR and INSAR data in a Pacific Northwest conifer forest.. 22 indexed citations

14.

Reutebuch, Stephen E., et al.. (2004). Use of large-scale silvicultural studies to evaluate management options in Pacific Northwest forests of the United States. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research). 5 indexed citations

15.

Andersen, Hans‐Erik, Jeffrey R. Foster, & Stephen E. Reutebuch. (2003). Estimating forest structure parameters within Fort Lewis Military Reservation using airborne laser scanner (LIDAR) data.. 4 indexed citations

16.

Reutebuch, Stephen E., et al.. (1999). Application and Accuracy of Two Fixed Base Camera Systems. The Photogrammetric Record. 16(93). 423–432. 4 indexed citations

17.

Klepac, John, Stephen E. Reutebuch, & Robert B. Rummer. (1999). An Assessment of Soil Disturbance from Five Harvesting Intensities. 1999. 16. 6 indexed citations

18.

Reutebuch, Stephen E.. (1997). Small Format Aerial Photography. Forest Science. 43(2). 307–308. 19 indexed citations

19.

Carson, W. W. & Stephen E. Reutebuch. (1997). A rigorous test of the accuracy of USGS digital elevation models in forested areas of Oregon and Washington.. 5 indexed citations

20.

Hartsough, Bruce R., et al.. (1997). MANUAL POLESAW PRUNING OF DOUGLAS-FIR. Applied Engineering in Agriculture. 13(3). 399–405. 1 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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