Daniel R. Ess

26 papers receiving 434 citations

Peers

Daniel R. Ess
Comparison fields: 5 of 87
  • Soil Science 83
  • General Agricultural and Biological Sciences 60
  • Agronomy and Crop Science 57
  • Environmental Engineering 74
  • Plant Science 175
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Xiaofan Yu United States
Lorenzo Bellù Italy
Ruiyin He China
Edmond Hien Burkina Faso
Muhammad Naveed Tahir Pakistan
Gábor Milics Hungary
Md. Mashiur Rahman Bangladesh
Seong Heo South Korea
Michael E. Salassi United States
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Citations per year

Countries citing papers authored by Daniel R. Ess

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Ess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Ess. 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 Daniel R. Ess. The network helps show where Daniel R. Ess may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel R. Ess, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel R. Ess Line = papers co-authored together Daniel R. Ess links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005113
2 199979
3 200640
4 199835
5 200233
6 200731
7 200230
8 200520
9
Precision farming and precision pest management: the power of new crop production technologies.
199819
10 200913
11 199412
12 199912
13 200310
14 200410
15 20068
16
An Automated Fiber-optic Biosensor Based Binding Inhibition Assay for the Detection of Listeria Monocytogenes
20076
17 20175
18 19965
19 20064
20
Correcting yield monitor data for improved yield mapping.
20003

About Daniel R. Ess

Daniel R. Ess is a scholar working on Civil and Structural Engineering, Agronomy and Crop Science, Plant Science, Biomedical Engineering and Molecular Biology, having authored 30 papers that have together received 503 indexed citations. Recurring topics across this work include Soil Mechanics and Vehicle Dynamics (6 papers), Crop Yield and Soil Fertility (5 papers), Biosensors and Analytical Detection (5 papers), Smart Agriculture and AI (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Climate change impacts on agriculture (3 papers), Agricultural Engineering and Mechanization (2 papers) and Soil Management and Crop Yield (2 papers). The work is most often cited by research in Soil Science (83 citations), General Agricultural and Biological Sciences (60 citations), Agronomy and Crop Science (57 citations), Environmental Engineering (74 citations) and Plant Science (175 citations). Daniel R. Ess has collaborated with scholars based in United States and South Korea. Frequent co-authors include Mark T. Morgan, Viacheslav I. Adamchuk, M. R. O'Neal, Jane Frankenberger, James Lowenberg‐DeBoer, S. Fountas, Claus Aage Grøn Sørensen, Simon Blackmore, D. H. Vaughan and John V. Perumpral. Their work appears in journals such as Applied Engineering in Agriculture, SAE technical papers on CD-ROM/SAE technical paper series, Precision Agriculture, Agricultural Systems and Sensors.

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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