John Nowatzki

1.0k total citations · 1 hit paper
31 papers, 700 citations indexed

About

John Nowatzki is a scholar working on Plant Science, Ecology and Biomedical Engineering. According to data from OpenAlex, John Nowatzki has authored 31 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 11 papers in Ecology and 5 papers in Biomedical Engineering. Recurrent topics in John Nowatzki's work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (10 papers) and Leaf Properties and Growth Measurement (7 papers). John Nowatzki is often cited by papers focused on Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (10 papers) and Leaf Properties and Growth Measurement (7 papers). John Nowatzki collaborates with scholars based in United States, Iran and India. John Nowatzki's co-authors include Sreekala G. Bajwa, Nadia Delavarpour, Cengiz Koparan, Xin Sun, Alimohammad Shirzadifar, Jason P. Harmon, David C. Roberts, C. Igathinathane, Ganesh C. Bora and Seyed Ahmad Mireei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Remote Sensing.

In The Last Decade

John Nowatzki

30 papers receiving 676 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.

A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges

2021 235 citations Nadia Delavarpour, John Nowatzki et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Nowatzki United States	11	381	241	135	90	73	31	700
Hak-Jin Kim South Korea	19	595 1.6×	227 0.9×	180 1.3×	87 1.0×	53 0.7×	100	1.3k
Jun Ni China	17	540 1.4×	396 1.6×	185 1.4×	139 1.5×	63 0.9×	59	868
D. Downey United States	12	678 1.8×	174 0.7×	83 0.6×	111 1.2×	52 0.7×	32	920
H. P. W. Jayasuriya Oman	14	392 1.0×	202 0.8×	138 1.0×	57 0.6×	80 1.1×	92	896
Pietro Catania Italy	16	372 1.0×	132 0.5×	95 0.7×	82 0.9×	57 0.8×	83	749
T. Hague United Kingdom	13	698 1.8×	258 1.1×	144 1.1×	104 1.2×	33 0.5×	22	936
Mariangela Vallone Italy	16	329 0.9×	109 0.5×	121 0.9×	75 0.8×	56 0.8×	83	778
Yadong Liu China	11	526 1.4×	229 1.0×	134 1.0×	121 1.3×	25 0.3×	20	860
N.D. Tillett United Kingdom	14	803 2.1×	263 1.1×	149 1.1×	106 1.2×	45 0.6×	36	1.1k
Xiaolei Qiu China	16	507 1.3×	360 1.5×	197 1.5×	82 0.9×	67 0.9×	30	871

Countries citing papers authored by John Nowatzki

Since Specialization

Citations

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

Fields of papers citing papers by John Nowatzki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Nowatzki

This figure shows the co-authorship network connecting the top 25 collaborators of John Nowatzki. A scholar is included among the top collaborators of John Nowatzki 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 Nowatzki. John Nowatzki 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

1.

Costa, Cristiano André da, Kirk Howatt, Billy G. Ram, et al.. (2022). Palmer Amaranth (Amaranthus palmeri S. Watson) and Soybean (Glycine max L.) Classification in Greenhouse Using Hyperspectral Imaging and Chemometrics Methods. Journal of the ASABE. 65(1). 179–188. 2 indexed citations

2.

Igathinathane, C., et al.. (2020). Chlorophyll estimation in soybean leaves infield with smartphone digital imaging and machine learning. Computers and Electronics in Agriculture. 174. 105433–105433. 47 indexed citations

3.

Igathinathane, C., et al.. (2020). Rating Iron Deficiency in Soybean Using Image Processing and Decision-Tree Based Models. Remote Sensing. 12(24). 4143–4143. 10 indexed citations

4.

Delavarpour, Nadia, et al.. (2020). The Tractor-Cart System Controller with Fuzzy Logic Rules. Applied Sciences. 10(15). 5223–5223. 4 indexed citations

5.

Shirzadifar, Alimohammad, et al.. (2020). Mapping crop stand count and planting uniformity using high resolution imagery in a maize crop. Biosystems Engineering. 200. 377–390. 32 indexed citations

6.

Shirzadifar, Alimohammad, et al.. (2020). Field identification of weed species and glyphosate-resistant weeds using high resolution imagery in early growing season. Biosystems Engineering. 200. 200–214. 29 indexed citations

7.

Kandel, Herman J., et al.. (2019). Evaluation of OptRx™ active optical sensor to monitor soybean response to nitrogen inputs. Journal of the Science of Food and Agriculture. 100(1). 154–160. 7 indexed citations

8.

Shirzadifar, Alimohammad, Sreekala G. Bajwa, Seyed Ahmad Mireei, Kirk Howatt, & John Nowatzki. (2018). Weed species discrimination based on SIMCA analysis of plant canopy spectral data. Biosystems Engineering. 171. 143–154. 38 indexed citations

9.

Bajwa, Sreekala G., et al.. (2017). Impact of soil compaction due to wheel traffic on corn and soybean growth, development and yield. Soil and Tillage Research. 175. 234–243. 80 indexed citations

10.

Bajwa, Sreekala G., et al.. (2017). Identification and Counting of Soybean Aphids from Digital Images Using Shape Classification. Transactions of the ASABE. 60(5). 1467–1477. 17 indexed citations

11.

Denton, Anne, Mostofa Ahsan, David W. Franzen, & John Nowatzki. (2016). Multi-scalar analysis of geospatial agricultural data for sustainability. 8 indexed citations

12.

Bajwa, Sreekala G., et al.. (2016). Detection of soybean aphids in a greenhouse using an image processing technique. Computers and Electronics in Agriculture. 132. 63–70. 55 indexed citations

13.

Nowatzki, John, et al.. (2014). Evaluation of in-field sensors to monitor nitrogen status in soybean crops. 2 indexed citations

14.

Gustafson, Cole R., et al.. (2011). Economics of Sourcing Cellulosic Feedstock for Energy Production. RePEc: Research Papers in Economics. 1 indexed citations

15.

Nowatzki, John, et al.. (2008). Strip Till for Field Crop Production : Equipment, Production, Economics. NDSU Repository (North Dakota State University). 2 indexed citations

16.

Nowatzki, John. (2008). Anhydrous Ammonia: Managing The Risks. NDSU Repository (North Dakota State University). 2 indexed citations

17.

Wiesenborn, Dennis P., et al.. (2007). Small-scale Biodiesel Production and Use. NDSU Repository (North Dakota State University). 3 indexed citations

18.

Nowatzki, John, et al.. (2004). GPS Applications in Crop Production. NDSU Repository (North Dakota State University). 2 indexed citations

19.

Nowatzki, John, et al.. (2001). Water Quality and Nitrogen. NDSU Repository (North Dakota State University). 1 indexed citations

20.

Nowatzki, John. (2000). Protecting Groundwater from Pesticide Contamination. NDSU Repository (North Dakota State University). 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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