Kim Lowell

1.9k total citations
97 papers, 1.4k citations indexed

About

Kim Lowell is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Kim Lowell has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Environmental Engineering, 41 papers in Ecology and 32 papers in Global and Planetary Change. Recurrent topics in Kim Lowell's work include Remote Sensing and LiDAR Applications (39 papers), Remote Sensing in Agriculture (23 papers) and Forest ecology and management (18 papers). Kim Lowell is often cited by papers focused on Remote Sensing and LiDAR Applications (39 papers), Remote Sensing in Agriculture (23 papers) and Forest ecology and management (18 papers). Kim Lowell collaborates with scholars based in United States, Australia and Canada. Kim Lowell's co-authors include François Potvin, Mihai A. Tanase, Kurt K. Benke, Rocco Panciera, Andrew J. Hamilton, Louis Bélanger, Jeffrey P. Walker, Jörg Hacker, Rodney J. Keenan and Kiran Paudyal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Kim Lowell

88 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kim Lowell United States 21 586 530 484 297 138 97 1.4k
Clare S. Rowland United Kingdom 18 776 1.3× 515 1.0× 616 1.3× 285 1.0× 174 1.3× 45 1.4k
Bernard Devereux United Kingdom 19 527 0.9× 640 1.2× 511 1.1× 157 0.5× 226 1.6× 25 1.6k
Geoffrey Brian Groom Denmark 18 740 1.3× 351 0.7× 554 1.1× 248 0.8× 144 1.0× 38 1.3k
N. Pinto United States 10 756 1.3× 643 1.2× 600 1.2× 436 1.5× 267 1.9× 31 1.4k
Kathleen M. Bergen United States 18 668 1.1× 822 1.6× 591 1.2× 368 1.2× 238 1.7× 44 1.5k
I. J. Davenport United Kingdom 20 612 1.0× 786 1.5× 500 1.0× 182 0.6× 296 2.1× 44 1.6k
Ramón Alberto Díaz Varela Spain 22 897 1.5× 1.1k 2.0× 537 1.1× 303 1.0× 280 2.0× 42 2.0k
Peter Scarth Australia 21 990 1.7× 760 1.4× 716 1.5× 238 0.8× 207 1.5× 67 1.6k
Yuchu Qin China 19 526 0.9× 573 1.1× 336 0.7× 295 1.0× 151 1.1× 31 1.2k
Jon Pasher Canada 21 648 1.1× 535 1.0× 665 1.4× 389 1.3× 187 1.4× 44 1.8k

Countries citing papers authored by Kim Lowell

Since Specialization
Citations

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

Fields of papers citing papers by Kim Lowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Lowell. 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 Kim Lowell. The network helps show where Kim Lowell may publish in the future.

Co-authorship network of co-authors of Kim Lowell

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Lowell. A scholar is included among the top collaborators of Kim Lowell 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 Kim Lowell. Kim Lowell 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.
Lowell, Kim, et al.. (2025). Coral reef detection using ICESat-2 and machine learning. Ecological Informatics. 87. 103099–103099. 1 indexed citations
2.
Lowell, Kim, et al.. (2025). Toward Quantifying Interpolation Uncertainty in Set-Line Spacing Hydrographic Surveys. ISPRS International Journal of Geo-Information. 14(2). 90–90.
3.
Lowell, Kim, et al.. (2024). Exploring Ancillary Parameters for Quantifying Interpolation Uncertainty in Digital Bathymetric Models. Marine Geodesy. 47(4). 289–323. 2 indexed citations
4.
5.
Lowell, Kim, et al.. (2024). Accuracy of Bathymetric Depth Change Maps Using Multi-Temporal Images and Machine Learning. Journal of Marine Science and Engineering. 12(8). 1401–1401. 6 indexed citations
6.
Lowell, Kim & Yuri Rzhanov. (2024). An Empirical Evaluation of the Localised Accuracy of Satellite-Derived Bathymetry and SDB Depth Change. Marine Geodesy. 48(1). 47–71. 1 indexed citations
7.
Miksis‐Olds, Jennifer, Nancy DiMarzio, Kim Lowell, et al.. (2020). The effect of two 12 kHz multibeam mapping surveys on the foraging behavior of Cuvier's beaked whales off of southern California. The Journal of the Acoustical Society of America. 147(6). 3849–3858. 10 indexed citations
8.
Paudyal, Kiran, Himlal Baral, Kim Lowell, & Rodney J. Keenan. (2017). Ecosystem services from community-based forestry in Nepal: Realising local and global benefits. Land Use Policy. 63. 342–355. 77 indexed citations
9.
Tanase, Mihai A., Rocco Panciera, Kim Lowell, & Cristina Aponte. (2015). Monitoring live fuel moisture in semiarid environments using L-band radar data. International Journal of Wildland Fire. 24(4). 560–572. 24 indexed citations
10.
Tanase, Mihai A., et al.. (2015). Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets. PLoS ONE. 10(6). e0131079–e0131079. 20 indexed citations
11.
Mitchell, Anthea L., Ian Tapley, A.K. Milne, et al.. (2014). C- and L-band SAR interoperability: Filling the gaps in continuous forest cover mapping in Tasmania. Remote Sensing of Environment. 155. 58–68. 29 indexed citations
12.
Lehmann, Eric, Zhenxing Zhou, Peter Caccetta, et al.. (2012). Forest mapping and monitoring in Tasmania using multi-temporal Landsat and ALOS-PALSAR data. 6431–6434. 1 indexed citations
13.
Benke, Kurt K., Kim Lowell, & Andrew J. Hamilton. (2007). Parameter uncertainty, sensitivity analysis and prediction error in a water-balance hydrological model. Mathematical and Computer Modelling. 47(11-12). 1134–1149. 117 indexed citations
14.
Ainsworth, N., et al.. (2006). An investigation of the invasion dynamics of Asparagus asparagoides (L.) Druce at the habitat level using spatial analytical techniques. Plant protection quarterly. 21(2). 85–88. 1 indexed citations
15.
Lowell, Kim, et al.. (2001). An Uncertainty-Based Method of Photointerpretation. Photogrammetric Engineering & Remote Sensing. 67(1). 65–72. 13 indexed citations
16.
Lowell, Kim, et al.. (2000). Forest Volume Relative to Cartographic Boundaries and Sample Spacing, Unit Size and Type. 4(1). 105–120. 6 indexed citations
17.
Lowell, Kim. (1994). Probabilistic temporal GIS modelling involving more than two map classes. International Journal of Geographical Information Systems. 8(1). 73–93. 11 indexed citations
18.
Lowell, Kim. (1994). A fuzzy surface cartographic representation for forestry based on Voronoi diagram area stealing. Canadian Journal of Forest Research. 24(9). 1970–1980. 12 indexed citations
19.
Lowell, Kim. (1990). Differences between ecological land type maps produced using GIS or manual cartographic methods.. Photogrammetric Engineering & Remote Sensing. 56(2). 169–173. 9 indexed citations
20.
Lowell, Kim, et al.. (1989). Forest Utilization in War-Torn Nicaragua. Journal of Forestry. 87(9). 38–45. 2 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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