John T. Heun

1.1k total citations · 1 hit paper
13 papers, 853 citations indexed

About

John T. Heun is a scholar working on Plant Science, Ecology and Global and Planetary Change. According to data from OpenAlex, John T. Heun has authored 13 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Ecology and 3 papers in Global and Planetary Change. Recurrent topics in John T. Heun's work include Remote Sensing in Agriculture (4 papers), Greenhouse Technology and Climate Control (4 papers) and Smart Agriculture and AI (4 papers). John T. Heun is often cited by papers focused on Remote Sensing in Agriculture (4 papers), Greenhouse Technology and Climate Control (4 papers) and Smart Agriculture and AI (4 papers). John T. Heun collaborates with scholars based in United States, Brazil and Ireland. John T. Heun's co-authors include Pedro Andrade-Sánchez, Kelly R. Thorp, Jeffrey W. White, Michael A. Gore, Andrew N. French, Elizabete Carmo‐Silva, Douglas J. Hunsaker, Matthew M. Conley, Michael E. Salvucci and R. J. Strand and has published in prestigious journals such as Sensors, Frontiers in Plant Science and Field Crops Research.

In The Last Decade

John T. Heun

11 papers receiving 839 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Field-based phenomics for plant genetics research

2012 429 citations Jeffrey W. White, Pedro Andrade-Sánchez et al. Field Crops Research profile →

Peers

John T. Heun

PS

ECOLO

GENET

EE

ACS

Duke Pauli United States

Shenghao Gu China

Lorena González-Pérez Mexico

Vidyasagar Sathuvalli United States

Frank Gilmer Germany

Katy Martin Rainey United States

Heng Ye United States

Andreas Fischbach Germany

Barbara George‐Jaeggli Australia

José A. Fernandez-Gallego Colombia

Duke Pauli United States

John T. Heun

676 ×0.9

PS

299 ×0.8

ECOLO

149 ×0.7

GENET

170 ×1.2

EE

55 ×0.8

ACS

Citations per year, relative to John T. Heun John T. Heun (= 1×) peers Duke Pauli

Countries citing papers authored by John T. Heun

Since Specialization

Citations

This map shows the geographic impact of John T. Heun'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 T. Heun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Heun more than expected).

Fields of papers citing papers by John T. Heun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Heun

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

All Works

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13 of 13 papers shown

1.

Heun, John T., Said Attalah, Andrew N. French, et al.. (2019). Deployment of Lidar from a Ground Platform: Customizing a Low-Cost, Information-Rich and User-Friendly Application for Field Phenomics Research. Sensors. 19(24). 5358–5358. 2 indexed citations

2.

Thompson, Alison L., Kelly R. Thorp, Matthew M. Conley, et al.. (2018). Deploying a Proximal Sensing Cart to Identify Drought-Adaptive Traits in Upland Cotton for High-Throughput Phenotyping. Frontiers in Plant Science. 9. 507–507. 28 indexed citations

3.

Pauli, Duke, Jeffrey W. White, Pedro Andrade-Sánchez, et al.. (2017). Investigation of the Influence of Leaf Thickness on Canopy Reflectance and Physiological Traits in Upland and Pima Cotton Populations. Frontiers in Plant Science. 8. 1405–1405. 31 indexed citations

4.

Pauli, Duke, Pedro Andrade-Sánchez, Elizabete Carmo‐Silva, et al.. (2016). Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton. G3 Genes Genomes Genetics. 6(4). 865–879. 89 indexed citations

5.

Andrade-Sánchez, Pedro, Michael A. Gore, John T. Heun, et al.. (2013). Development and evaluation of a field-based high-throughput phenotyping platform. Functional Plant Biology. 41(1). 68–79. 258 indexed citations

6.

Andrade-Sánchez, Pedro & John T. Heun. (2012). From GPS to GNSS: Enhanced Functionality of GPS-Integrated Systems in Agricultural Machines. UA Campus Repository (The University of Arizona).

7.

White, Jeffrey W., Pedro Andrade-Sánchez, Michael A. Gore, et al.. (2012). Field-based phenomics for plant genetics research. Field Crops Research. 133. 101–112. 429 indexed citations breakdown →

8.

Guerra, Saulo Philipe Sebastião, et al.. (2012). CONSUMO DE COMBUSTÍVEL DE UM TRATOR AGRÍCOLA EM FUNÇÃO DO TIPO DE SOLO E DA PRESSÃO DE INFLAÇÃO NOS PNEUS UTILIZANDO O EQUIPAMENTO CANTEIRADOR. ENERGIA NA AGRICULTURA. 27(2). 44–44. 1 indexed citations

9.

Andrade-Sánchez, Pedro & John T. Heun. (2011). A General Guide to Global Positioning Systems (GPS). UA Campus Repository (The University of Arizona). 1 indexed citations

10.

Hunsaker, Douglas J., Andrew N. French, Eduardo Bautista, et al.. (2010). Spatial Estimation of Crop Evapotranspiration, Soil Properties, and Infiltrated Water for Scheduling Cotton Surface Irrigations. 1 indexed citations

11.

Andrade-Sánchez, Pedro & John T. Heun. (2010). Understanding Technical Terms and Acronyms Used in Precision Agriculture. UA Campus Repository (The University of Arizona). 9 indexed citations

12.

Andrade-Sánchez, Pedro & John T. Heun. (2010). Things to Know About Applying Precision Agriculture Technologies in Arizona. UA Campus Repository (The University of Arizona). 3 indexed citations

13.

Andrade-Sánchez, Pedro, et al.. (2009). Potential Use of the Veris Apparent EC Sensor to Predict Soil Texture under the Semi-arid conditions of Central Arizona. 2009 Reno, Nevada, June 21 - June 24, 2009. 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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