Jon Morton

435 total citations
4 papers, 350 citations indexed

About

Jon Morton is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Jon Morton has authored 4 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecology, 3 papers in Environmental Engineering and 2 papers in Global and Planetary Change. Recurrent topics in Jon Morton's work include Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Image and Signal Denoising Methods (1 paper). Jon Morton is often cited by papers focused on Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Image and Signal Denoising Methods (1 paper). Jon Morton collaborates with scholars based in United States and Israel. Jon Morton's co-authors include Amr Abd‐Elrahman, Tao Liu, Scot E. Smith, Bon Dewitt, Rakesh Ranjan, Jun Hu, Yazhu Ling, David Liu, Vikas Chandra and Fitsum A. Reda and has published in prestigious journals such as GIScience & Remote Sensing and European Journal of Remote Sensing.

In The Last Decade

Jon Morton

4 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Morton United States	4	195	152	133	105	56	4	350
Camille Desjardins France	9	217 1.1×	161 1.1×	135 1.0×	97 0.9×	105 1.9×	18	428
Daniel Capella Zanotta Brazil	9	211 1.1×	148 1.0×	89 0.7×	118 1.1×	68 1.2×	42	427
Valentina Boccia Italy	12	162 0.8×	105 0.7×	93 0.7×	81 0.8×	70 1.3×	35	353
Christine E. Blinn United States	12	225 1.2×	168 1.1×	180 1.4×	79 0.8×	53 0.9×	19	465
Shahab Jozdani Japan	7	127 0.7×	94 0.6×	103 0.8×	133 1.3×	76 1.4×	9	324
L. Collett Australia	6	231 1.2×	127 0.8×	186 1.4×	86 0.8×	45 0.8×	7	336
Fan Xia China	4	212 1.1×	79 0.5×	134 1.0×	159 1.5×	103 1.8×	10	397
Péter Burai Hungary	10	200 1.0×	162 1.1×	97 0.7×	99 0.9×	43 0.8×	33	378
Yinan He United States	7	177 0.9×	101 0.7×	135 1.0×	111 1.1×	59 1.1×	16	423
Michael Karteris Greece	9	284 1.5×	201 1.3×	243 1.8×	151 1.4×	78 1.4×	9	519

Countries citing papers authored by Jon Morton

Since Specialization

Citations

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

Fields of papers citing papers by Jon Morton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Morton

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

All Works

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4 of 4 papers shown

1.

Reda, Fitsum A., Rakesh Ranjan, Jon Morton, et al.. (2022). Feature-Align Network with Knowledge Distillation for Efficient Denoising. 709–718. 6 indexed citations

2.

Liu, Tao, et al.. (2018). Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers. GIScience & Remote Sensing. 56(1). 130–159. 17 indexed citations

3.

Liu, Tao, et al.. (2018). Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system. GIScience & Remote Sensing. 55(2). 243–264. 226 indexed citations

4.

Abd‐Elrahman, Amr, et al.. (2017). Object-based classification of wetland vegetation using very high-resolution unmanned air system imagery. European Journal of Remote Sensing. 50(1). 564–576. 101 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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