John Iiames

998 total citations
18 papers, 449 citations indexed

About

John Iiames is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, John Iiames has authored 18 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Ecology and 7 papers in Global and Planetary Change. Recurrent topics in John Iiames's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (5 papers) and Urban Heat Island Mitigation (4 papers). John Iiames is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (5 papers) and Urban Heat Island Mitigation (4 papers). John Iiames collaborates with scholars based in United States, Ireland and Ghana. John Iiames's co-authors include Ross S. Lunetta, Yang Shao, James B. Campbell, Jayantha Ediriwickrema, Yang Shao, Wilson B. Salls, Blake A. Schaeffer, A. N. Pilant, Russell G. Congalton and John L. Dwyer and has published in prestigious journals such as Remote Sensing of Environment, Water Resources Research and International Journal of Remote Sensing.

In The Last Decade

John Iiames

16 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Iiames United States 10 272 208 138 102 60 18 449
Xinchuan Li China 12 413 1.5× 276 1.3× 185 1.3× 135 1.3× 38 0.6× 21 674
Yuchun Wei China 13 181 0.7× 173 0.8× 92 0.7× 64 0.6× 95 1.6× 44 464
Bradley C. Autrey United States 11 383 1.4× 263 1.3× 131 0.9× 56 0.5× 62 1.0× 12 628
Xinzhai Tang China 12 122 0.4× 169 0.8× 151 1.1× 126 1.2× 23 0.4× 28 382
Deepak R. Joshi United States 12 199 0.7× 138 0.7× 116 0.8× 58 0.6× 37 0.6× 24 444
Enrico C. Paringit Philippines 11 291 1.1× 184 0.9× 171 1.2× 59 0.6× 50 0.8× 44 492
Marco Peters United Kingdom 6 156 0.6× 246 1.2× 108 0.8× 119 1.2× 33 0.6× 8 574
H.E. Mackey United States 8 229 0.8× 158 0.8× 73 0.5× 69 0.7× 68 1.1× 22 401
Nicole Pinnel Germany 11 317 1.2× 136 0.7× 193 1.4× 28 0.3× 88 1.5× 34 518
Jessica L. O’Connell United States 15 384 1.4× 229 1.1× 90 0.7× 69 0.7× 12 0.2× 22 477

Countries citing papers authored by John Iiames

Since Specialization
Citations

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

Fields of papers citing papers by John Iiames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Iiames

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

All Works

18 of 18 papers shown
1.
Iiames, John, et al.. (2025). Assessing the Accuracy of a 2021 Kansas‐Oklahoma Tallgrass Ecosystem Burn Area Map. Photogrammetric Engineering & Remote Sensing. 91(12). 799–807.
2.
Walker, John T., Xi Chen, Zhiyong Wu, et al.. (2023). Atmospheric deposition of reactive nitrogen to a deciduous forest in the southern Appalachian Mountains. Biogeosciences. 20(5). 971–995. 13 indexed citations
3.
Wu, Zhiyong, John T. Walker, A. Christopher Oishi, et al.. (2023). Estimating source-sink distributions and fluxes of reactive nitrogen and sulfur within a mixed forest canopy. Agricultural and Forest Meteorology. 333. 109386–109386. 3 indexed citations
4.
Iiames, John, Wilson B. Salls, Megan Mehaffey, et al.. (2021). Modeling Anthropogenic and Environmental Influences on Freshwater Harmful Algal Bloom Development Detected by MERIS Over the Central United States. Water Resources Research. 57(10). e2020WR028946–e2020WR028946. 33 indexed citations
5.
Iiames, John, Ellen J. Cooter, A. N. Pilant, & Yang Shao. (2020). Comparison of EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) across Multiple Spatial Scales. Remote Sensing. 12(17). 2764–2764. 6 indexed citations
6.
Iiames, John, Ellen J. Cooter, Donna Schwede, & J. R. Williams. (2018). A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA. Forests. 9(1). 26–26. 10 indexed citations
7.
Schaeffer, Blake A., John Iiames, John L. Dwyer, et al.. (2018). An initial validation of Landsat 5 and 7 derived surface water temperature for U.S. lakes, reservoirs, and estuaries. International Journal of Remote Sensing. 39(22). 7789–7805. 58 indexed citations
8.
Petráš, Václav, et al.. (2016). Implementation of a subcanopy solar radiation model on a forested headwater basin in the Southern Appalachians to estimate riparian canopy density and stream insolation for stream temperature models. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
9.
10.
Shao, Yang, et al.. (2015). An evaluation of time-series smoothing algorithms for land-cover classifications using MODIS-NDVI multi-temporal data. Remote Sensing of Environment. 174. 258–265. 186 indexed citations
11.
Iiames, John & Ross S. Lunetta. (2013). Classification and Accuracy Assessment for Coarse Resolution Mapping within the Great Lakes Basin, USA. Photogrammetric Engineering & Remote Sensing. 79(11). 1015–1026. 4 indexed citations
12.
Iiames, John, et al.. (2013). Basal Area and Biomass Estimates of Loblolly Pine Stands Using L-band UAVSAR. Photogrammetric Engineering & Remote Sensing. 80(1). 33–42. 7 indexed citations
13.
Iiames, John, Russell G. Congalton, & Ross S. Lunetta. (2013). Analyst variation associated with land cover image classification of Landsat ETM + data for the assessment of coarse spatial resolution regional/global land cover products. GIScience & Remote Sensing. 50(6). 604–622. 7 indexed citations
14.
Shao, Yang, Ross S. Lunetta, Jayantha Ediriwickrema, & John Iiames. (2010). Mapping Cropland and Major Crop Types across the Great Lakes Basin using MODIS-NDVI Data. Photogrammetric Engineering & Remote Sensing. 76(1). 73–84. 65 indexed citations
15.
Iiames, John, et al.. (2008). Validation of an Integrated Estimation of Loblolly Pine (Pinus taeda L.) Leaf Area Index (LAI) Using Two Indirect Optical Methods in the Southeastern United States. Southern Journal of Applied Forestry. 32(3). 101–110. 13 indexed citations
16.
Iiames, John, Russell G. Congalton, A. N. Pilant, & Tom Lewis. (2008). Leaf Area Index (LAI) Change Detection Analysis on Loblolly Pine (<I>Pinus taeda</I>) Following Complete Understory Removal. Photogrammetric Engineering & Remote Sensing. 74(11). 1389–1400. 15 indexed citations
17.
Iiames, John. (2006). Assessing the accuracy of the MODIS LAI 1-km product in southeastern United States loblolly pine plantations: Accounting for measurement variance from ground to satellite. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 1 indexed citations
18.
Lunetta, Ross S., Jayantha Ediriwickrema, John Iiames, et al.. (2003). A Quantitative Assessment of a Combined Spectral and GIS Rule-Based Land-Cover Classification in the Neuse River Basin of North Carolina. Photogrammetric Engineering & Remote Sensing. 69(3). 299–310. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xinchuan Li Breakdown of academic impact, for papers by Yuchun Wei Breakdown of academic impact, for papers by Bradley C. Autrey Breakdown of academic impact, for papers by Xinzhai Tang Breakdown of academic impact, for papers by Deepak R. Joshi Breakdown of academic impact, for papers by Enrico C. Paringit Breakdown of academic impact, for papers by Marco Peters Breakdown of academic impact, for papers by H.E. Mackey Breakdown of academic impact, for papers by Nicole Pinnel Breakdown of academic impact, for papers by Jessica L. O’Connell
Rankless by CCL
2026