Timothy Mayer

478 total citations
18 papers, 291 citations indexed

About

Timothy Mayer is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Timothy Mayer has authored 18 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 7 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Timothy Mayer's work include Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (5 papers) and Flood Risk Assessment and Management (3 papers). Timothy Mayer is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (5 papers) and Flood Risk Assessment and Management (3 papers). Timothy Mayer collaborates with scholars based in United States, Nepal and Netherlands. Timothy Mayer's co-authors include Biplov Bhandari, Ate Poortinga, David Saah, Farrukh Chishtie, Nicholas Clinton, Kel Markert, Amanda Markert, Arjen Haag, Faisal Mueen Qamer and Peeranan Towashiraporn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Timothy Mayer

17 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Mayer United States 8 180 97 88 82 72 18 291
Tsitsi Bangira South Africa 8 161 0.9× 92 0.9× 101 1.1× 92 1.1× 56 0.8× 14 280
Max Steinhausen Germany 6 192 1.1× 106 1.1× 67 0.8× 66 0.8× 75 1.0× 16 282
Youngjoo Kwak Japan 12 246 1.4× 57 0.6× 65 0.7× 128 1.6× 83 1.2× 33 331
Peshawa M. Najmaddin Iraq 6 183 1.0× 118 1.2× 111 1.3× 30 0.4× 72 1.0× 7 302
C. Domenikiotis Greece 10 231 1.3× 146 1.5× 56 0.6× 53 0.6× 54 0.8× 19 327
Jiaxin Qian China 10 189 1.1× 155 1.6× 194 2.2× 48 0.6× 123 1.7× 23 438
Bagher Bayat Germany 9 186 1.0× 156 1.6× 115 1.3× 49 0.6× 44 0.6× 21 323
Fatiha Oudija Morocco 4 325 1.8× 159 1.6× 97 1.1× 24 0.3× 53 0.7× 7 431
Nobuhle Majozi South Africa 7 256 1.4× 82 0.8× 74 0.8× 146 1.8× 51 0.7× 10 339
Tengfang Deng China 11 79 0.4× 164 1.7× 97 1.1× 57 0.7× 49 0.7× 20 314

Countries citing papers authored by Timothy Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Mayer. A scholar is included among the top collaborators of Timothy Mayer 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 Timothy Mayer. Timothy Mayer 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.
Bhandari, Biplov & Timothy Mayer. (2025). Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery. SHILAP Revista de lepidopterología. 15. 100084–100084. 1 indexed citations
2.
Bhandari, Biplov & Timothy Mayer. (2024). servir-aces: A Python Package for Training MachineLearning Models for Remote Sensing Applications. The Journal of Open Source Software. 9(99). 6729–6729. 1 indexed citations
3.
Uddin, Kabir, Birendra Bajracharya, Timothy Mayer, et al.. (2024). Bridging the national data gap with Google earth engine and landsat imagery by developing annual land cover for Afghanistan. Data in Brief. 54. 110316–110316.
4.
Di, Liping, Faisal Mueen Qamer, Liying Guo, et al.. (2023). Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning. Remote Sensing. 15(9). 2374–2374. 27 indexed citations
5.
Mayer, Timothy, et al.. (2023). Employing the agricultural classification and estimation service (ACES) for mapping smallholder rice farms in Bhutan. Frontiers in Environmental Science. 11. 2 indexed citations
6.
Di, Liping, et al.. (2023). RiceMapEngine: A Google Earth Engine-Based Web Application for Fast Paddy Rice Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7264–7275. 7 indexed citations
7.
Poortinga, Ate, et al.. (2021). Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning. Remote Sensing. 13(16). 3166–3166. 34 indexed citations
8.
Mayer, Timothy, et al.. (2021). Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data. Remote Sensing. 13(22). 4516–4516. 3 indexed citations
9.
Mayer, Timothy, Ate Poortinga, Biplov Bhandari, et al.. (2021). Deep learning approach for Sentinel-1 surface water mapping leveraging Google Earth Engine. SHILAP Revista de lepidopterología. 2. 100005–100005. 63 indexed citations
10.
Poortinga, Ate, Timothy Mayer, Biplov Bhandari, et al.. (2021). Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine. SHILAP Revista de lepidopterología. 1. 100003–100003. 19 indexed citations
11.
Ellenburg, W. L., Vikalp Mishra, Timothy Mayer, et al.. (2021). A statistical evaluation of Earth-observation-based composite drought indices for a localized assessment of agricultural drought in Pakistan. International Journal of Applied Earth Observation and Geoinformation. 106. 102646–102646. 18 indexed citations
12.
Vorster, Anthony G., Nicholas E. Young, Paul Evangelista, et al.. (2020). Improved Remote Sensing Methods to Detect Northern Wild Rice (Zizania palustris L.). Remote Sensing. 12(18). 3023–3023. 8 indexed citations
13.
Markert, Kel, Amanda Markert, Timothy Mayer, et al.. (2020). Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine. Remote Sensing. 12(15). 2469–2469. 89 indexed citations
14.
Chishtie, Farrukh, Parul Gupta, Shantha Gamini Jayasinghe, et al.. (2019). Service planning and product design of an Air Quality Monitoring System for Thailand and towards Coverage of the Lower Mekong region. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Limaye, Ashutosh, et al.. (2019). Providing Data Access and Analysis Capabilities to SERVIR’s Data-Sparse Regions. NASA Technical Reports Server (NASA). 2019. 1 indexed citations
16.
Evangelista, Paul, Nicholas E. Young, Anthony G. Vorster, et al.. (2018). CO-RIP: A Riparian Vegetation and Corridor Extent Dataset for Colorado River Basin Streams and Rivers. ISPRS International Journal of Geo-Information. 7(10). 397–397. 14 indexed citations
17.
Vorster, Anthony G., et al.. (2018). Tamarisk and Russian Olive Occurrence and Absence Dataset Collected in Select Tributaries of the Colorado River for 2017. Data. 3(4). 42–42. 2 indexed citations
18.
Mayer, Timothy. (2015). "Don't Have A Cow, Man!": Recognizing Herd Share Agreements for Raw Milk.. PubMed. 25. 383–435. 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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2026