Daniel E. Martin

920 total citations
62 papers, 605 citations indexed

About

Daniel E. Martin is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Daniel E. Martin has authored 62 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 12 papers in Insect Science and 10 papers in Molecular Biology. Recurrent topics in Daniel E. Martin's work include Plant Surface Properties and Treatments (23 papers), Insect-Plant Interactions and Control (9 papers) and Insect Resistance and Genetics (9 papers). Daniel E. Martin is often cited by papers focused on Plant Surface Properties and Treatments (23 papers), Insect-Plant Interactions and Control (9 papers) and Insect Resistance and Genetics (9 papers). Daniel E. Martin collaborates with scholars based in United States, India and Australia. Daniel E. Martin's co-authors include M. A. Latheef, Bradley K. Fritz, W. Clint Hoffmann, J. D. López, Yubin Lan, Wayne Woldt, Steven Hall, S L McElroy, W. Clint Hoffmann and Todd W. Walker and has published in prestigious journals such as Journal of Biomechanics, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Daniel E. Martin

60 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel E. Martin United States	14	436	107	91	86	48	62	605
Jane A. S. Bonds United States	13	443 1.0×	99 0.9×	58 0.6×	115 1.3×	90 1.9×	30	622
Weicai Qin China	10	482 1.1×	93 0.9×	60 0.7×	46 0.5×	51 1.1×	20	619
Cruz Garcerá Spain	16	524 1.2×	57 0.5×	84 0.9×	163 1.9×	50 1.0×	38	600
Song JianLi China	12	448 1.0×	104 1.0×	68 0.7×	43 0.5×	62 1.3×	32	521
W. Clint Hoffmann United States	13	322 0.7×	79 0.7×	44 0.5×	70 0.8×	45 0.9×	31	473
Yajia Liu China	14	400 0.9×	85 0.8×	66 0.7×	65 0.8×	37 0.8×	46	565
Patricia Chueca Spain	18	641 1.5×	58 0.5×	115 1.3×	269 3.1×	51 1.1×	51	779
Ramón Salcedo Spain	16	557 1.3×	91 0.9×	135 1.5×	74 0.9×	63 1.3×	37	630
N. M. Western United Kingdom	17	636 1.5×	101 0.9×	59 0.6×	121 1.4×	93 1.9×	56	746
J.C. van de Zande Netherlands	17	815 1.9×	149 1.4×	101 1.1×	131 1.5×	105 2.2×	110	984

Countries citing papers authored by Daniel E. Martin

Since Specialization

Citations

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

Fields of papers citing papers by Daniel E. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Martin

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

All Works

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20 of 20 papers shown

Martin, Daniel E., et al.. (2025). Spray Deposition and Drift as Influenced by Wind Speed and Spray Nozzles from a Remotely Piloted Aerial Application System. Drones. 9(1). 66–66. 5 indexed citations

Martin, Daniel E., et al.. (2025). Nozzle type and spray volume effects on site-specific herbicide application in turfgrass using a remotely piloted aerial application system. Weed Technology. 39. 1 indexed citations

Kannan, Narayanan, Daniel E. Martin, Rajani Srinivasan, & Weiqiang Zhang. (2024). Adjuvants for Drone-Based Aerial Chemical Applications to Mitigate Off-Target Drift. Drones. 8(11). 667–667. 2 indexed citations

Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2024). AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application. Remote Sensing. 16(15). 2754–2754. 1 indexed citations

Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2023). Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning. Agriculture. 13(7). 1365–1365. 4 indexed citations

Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2022). Volunteer cotton plant detection in corn field with deep learning. 4 indexed citations

Hergert, Gary W., et al.. (2020). Yields and ET of deficit to fully irrigated canola and camelina. Digital Collections of Colorado (Colorado State University). 1 indexed citations

Martin, Daniel E. & M. A. Latheef. (2019). Aerial application methods control spider mites on corn in Kansas, USA. Experimental and Applied Acarology. 77(4). 571–582. 4 indexed citations

Martin, Daniel E. & M. A. Latheef. (2018). Active optical sensor assessment of spider mite damage on greenhouse beans and cotton. Experimental and Applied Acarology. 74(2). 147–158. 7 indexed citations

10.

Martin, Daniel E. & M. A. Latheef. (2017). Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton. Journal of Visualized Experiments. 11 indexed citations

11.

Martin, Daniel E., et al.. (2015). Pitfalls in processing near-surface reflection-seismic data: Beware of static corrections and migration. The Leading Edge. 34(11). 1382–1385. 1 indexed citations

12.

Martin, Daniel E., M. A. Latheef, & J. D. López. (2015). Evaluation of selected acaricides against twospotted spider mite (Acari: Tetranychidae) on greenhouse cotton using multispectral data. Experimental and Applied Acarology. 66(2). 227–245. 14 indexed citations

13.

Martin, Daniel E., J. D. López, & Yubin Lan. (2012). Laboratory evaluation of the GreenSeeker handheld optical sensor to variations in orientation and height above canopy. International journal of agricultural and biological engineering. 5(1). 43–47. 12 indexed citations

14.

Martin, Daniel E., J. D. López, Yubin Lan, et al.. (2010). Novaluron as an ovicide for bollworm on cotton: deposition and efficacy of field-scale aerial applications.. The journal of cotton science/Journal of cotton science. 14(2). 99–106. 5 indexed citations

15.

Li, Kang, et al.. (2009). Mapping ligament insertion sites onto bone surfaces in knee by co-registration of CT and digitization data. Journal of Biomechanics. 42(15). 2624–2626. 11 indexed citations

16.

Lan, Yubin, et al.. (2009). Development of an Airborne Remote Sensing System for Crop Pest Management: System Integration and Verification. Applied Engineering in Agriculture. 25(4). 607–615. 22 indexed citations

17.

López, J. D., et al.. (2008). Evaluation of Toxicity of Selected Insecticides against Thrips on Cotton in Laboratory Bioassays. The journal of cotton science/Journal of cotton science. 16 indexed citations

18.

Doudin, Pierre‐André, et al.. (2007). Élèves en difficulte scolaire : integration ou separation ?. IRIS. 1 indexed citations

19.

Walker, Todd W., et al.. (2007). CHARACTERIZATION OF TRUCK-MOUNTED ATOMIZATION EQUIPMENT TYPICALLY USED IN VECTOR CONTROL¹. Journal of the American Mosquito Control Association. 23(3). 321–329. 22 indexed citations

20.

Hoffmann, W. Clint, et al.. (2007). DROPLET-SIZE CHARACTERIZATION OF HANDHELD ATOMIZATION EQUIPMENT TYPICALLY USED IN VECTOR CONTROL¹. Journal of the American Mosquito Control Association. 23(3). 315–320. 26 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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