David Palandro

1.1k total citations
33 papers, 812 citations indexed

About

David Palandro is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, David Palandro has authored 33 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 10 papers in Oceanography and 10 papers in Global and Planetary Change. Recurrent topics in David Palandro's work include Coral and Marine Ecosystems Studies (18 papers), Marine and fisheries research (8 papers) and Oil Spill Detection and Mitigation (6 papers). David Palandro is often cited by papers focused on Coral and Marine Ecosystems Studies (18 papers), Marine and fisheries research (8 papers) and Oil Spill Detection and Mitigation (6 papers). David Palandro collaborates with scholars based in United States, Qatar and Canada. David Palandro's co-authors include Frank Müller‐Karger, Chuanmin Hu, Serge Andréfouët, Tim Nedwed, Pamela Hallock, Kenneth Lee, Roger C. Prince, Brian B. Barnes, P. Dustan and Brigitte Sommer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

David Palandro

31 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Palandro United States 15 437 302 281 133 100 33 812
Ivane Pairaud France 18 263 0.6× 595 2.0× 272 1.0× 104 0.8× 35 0.3× 41 897
Bisman Nababan Indonesia 12 292 0.7× 377 1.2× 257 0.9× 34 0.3× 19 0.2× 39 834
Fantina Madricardo Italy 17 214 0.5× 193 0.6× 96 0.3× 88 0.7× 66 0.7× 34 609
Keping Du China 13 362 0.8× 1.1k 3.7× 440 1.6× 62 0.5× 23 0.2× 30 1.4k
Manuel Díez‐Minguito Spain 16 265 0.6× 361 1.2× 175 0.6× 111 0.8× 43 0.4× 43 752
W. Paul Bissett United States 20 406 0.9× 904 3.0× 253 0.9× 65 0.5× 22 0.2× 31 1.2k
Erfeng Zhang China 14 280 0.6× 143 0.5× 147 0.5× 28 0.2× 36 0.4× 31 832
Fang Gong China 17 223 0.5× 673 2.2× 296 1.1× 44 0.3× 18 0.2× 107 957
Timothy S. Moore United States 16 473 1.1× 1.5k 4.9× 482 1.7× 64 0.5× 22 0.2× 28 1.8k
Cédric Jamet France 23 356 0.8× 1.2k 3.9× 604 2.1× 62 0.5× 30 0.3× 54 1.6k

Countries citing papers authored by David Palandro

Since Specialization
Citations

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

Fields of papers citing papers by David Palandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Palandro

This figure shows the co-authorship network connecting the top 25 collaborators of David Palandro. A scholar is included among the top collaborators of David Palandro 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 David Palandro. David Palandro 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.
Hu, Chuanmin, Jennifer P. Cannizzaro, Brian B. Barnes, et al.. (2024). Remotely Sensed Water Quality in Qatari Coastal Waters Between 2002 and 2022. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16944–16960. 1 indexed citations
2.
Jaffe, Benjamin D., et al.. (2021). Field experiment demonstrates the potential utility of satellite-derived reflectance indices for monitoring regeneration of boreal forest communities. Trees Forests and People. 6. 100145–100145. 2 indexed citations
4.
Altobelli, S. A., Mark S. Conradi, Eiichi Fukushima, et al.. (2019). Helicopter-borne NMR for detection of oil under sea-ice. Marine Pollution Bulletin. 144. 160–166. 16 indexed citations
5.
Sommer, Brigitte, et al.. (2018). Decommissioning of offshore oil and gas structures – Environmental opportunities and challenges. The Science of The Total Environment. 658. 973–981. 99 indexed citations
6.
Palandro, David, et al.. (2018). Overview of Decommissioning Option Assessment: A Case for Comparative Assessment. 6 indexed citations
7.
Palandro, David, et al.. (2017). Oil in and under Ice Detection using Nuclear Magnetic Resonance. International Oil Spill Conference Proceedings. 2017(1). 1877–1889. 2 indexed citations
8.
Warren, Christopher, et al.. (2015). Remote sensing of Qatar nearshore habitats with perspectives for coastal management. Marine Pollution Bulletin. 105(2). 641–653. 19 indexed citations
9.
Altobelli, Stephen A., et al.. (2015). Detecting Arctic oil spills with NMR: a feasibility study. Near Surface Geophysics. 13(4). 409–416. 13 indexed citations
11.
Letinski, Daniel J., Thomas F. Parkerton, Aaron D. Redman, et al.. (2014). Use of passive samplers for improving oil toxicity and spill effects assessment. Marine Pollution Bulletin. 86(1-2). 274–282. 35 indexed citations
12.
Lee, Kenneth, Tim Nedwed, Roger C. Prince, & David Palandro. (2013). Lab tests on the biodegradation of chemically dispersed oil should consider the rapid dilution that occurs at sea. Marine Pollution Bulletin. 73(1). 314–318. 91 indexed citations
13.
Hallock, Pamela, et al.. (2013). Potential habitat of Acropora spp. on Florida reefs. Applied Geography. 39. 118–127. 16 indexed citations
14.
Barnes, Brian B., et al.. (2013). Use of Landsat data to track historical water quality changes in Florida Keys marine environments. Remote Sensing of Environment. 140. 485–496. 44 indexed citations
15.
Dixon, Barnali, et al.. (2012). Alternative spatially enhanced integrative techniques for mapping seagrass in Florida's marine ecosystem. International Journal of Remote Sensing. 34(4). 1248–1264. 24 indexed citations
16.
Palandro, David, Serge Andréfouët, Chuanmin Hu, et al.. (2008). Quantification of two decades of shallow-water coral reef habitat decline in the Florida Keys National Marine Sanctuary using Landsat data (1984–2002). Remote Sensing of Environment. 112(8). 3388–3399. 99 indexed citations
17.
Peters, Marcell K., David Palandro, Pamela Hallock, & Eugene A. Shinn. (2008). Assessing the Distribution of Patch Reef Morphologies in the Lower Florida Keys, USA, using IKONOS Satellite Imagery. Digital Commons - University of South Florida (University of South Florida). 1. 678. 1 indexed citations
18.
Palandro, David, Serge Andréfouët, Frank Müller‐Karger, et al.. (2003). Detection of changes in coral reef communities using Landsat-5 TM and Landsat-7 ETM+ data. Canadian Journal of Remote Sensing. 29(2). 201–209. 38 indexed citations
19.
Palandro, David, Serge Andréfouët, P. Dustan, & Frank Müller‐Karger. (2003). Change detection in coral reef communities using Ikonos satellite sensor imagery and historic aerial photographs. International Journal of Remote Sensing. 24(4). 873–878. 71 indexed citations
20.
Palandro, David, Serge Andréfouët, Frank Müller‐Karger, & P. Dustan. (2002). Coral reef change detection using Landsats 5 and 7: a case study using Carysfort Reef in the Florida Keys. Digital Commons - University of South Florida (University of South Florida). 2. 625–627. 5 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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