Jarad Niemi

2.3k total citations · 1 hit paper
43 papers, 839 citations indexed

About

Jarad Niemi is a scholar working on Molecular Biology, Plant Science and Statistics and Probability. According to data from OpenAlex, Jarad Niemi has authored 43 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Plant Science and 8 papers in Statistics and Probability. Recurrent topics in Jarad Niemi's work include Chromosomal and Genetic Variations (5 papers), Data-Driven Disease Surveillance (4 papers) and CRISPR and Genetic Engineering (3 papers). Jarad Niemi is often cited by papers focused on Chromosomal and Genetic Variations (5 papers), Data-Driven Disease Surveillance (4 papers) and CRISPR and Genetic Engineering (3 papers). Jarad Niemi collaborates with scholars based in United States, Canada and Germany. Jarad Niemi's co-authors include Lisa A. Schulte, Matthew J. Helmers, Cheemeng Tan, Lingchong You, Matthew E. O’Neal, John Tyndall, Mike West, Michael J Simmons, David James and Mark D. Tomer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Jarad Niemi

40 papers receiving 808 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.

Prairie strips improve biodiversity and the delivery of multiple ecosystem services from corn–soybean croplands

2017 253 citations Lisa A. Schulte, Jarad Niemi et al. Proceedings of the National Academy of Sciences profile →

Peers

Jarad Niemi

MB

PS

EEBS

ECOLO

EE

Simon Preston United Kingdom

Fangming Wu China

Chen Zhou China

Mohammad Sadegh Norouzzadeh Iran

Christophe Pradal France

Kathleen M. C. Tjørve Norway

Winston Chang United States

James W. Haefner United States

Jana Wäldchen Germany

Ronnie Alves Brazil

Simon Preston United Kingdom

Jarad Niemi

127 ×0.5

MB

207 ×1.2

PS

30 ×0.3

EEBS

63 ×0.6

ECOLO

47 ×0.5

EE

Citations per year, relative to Jarad Niemi Jarad Niemi (= 1×) peers Simon Preston

Countries citing papers authored by Jarad Niemi

Since Specialization

Citations

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

Fields of papers citing papers by Jarad Niemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarad Niemi

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

Stephenson, James A., Matt Liebman, Jarad Niemi, et al.. (2024). The influence of prairie strips sown in midwestern corn and soybean fields on sediment discharge throughout the year. Journal of Soil and Water Conservation. 79(2). 87–98. 1 indexed citations

2.

Lewis‐Beck, Colin, et al.. (2023). Rejoinder to “Specifying Prior Distribution in Reliability Applications”. Applied Stochastic Models in Business and Industry. 40(1). 130–143.

3.

Miguez, Fernando E., et al.. (2022). Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching. Environmental Research Letters. 17(11). 114010–114010. 6 indexed citations

4.

Niemi, Jarad, et al.. (2021). Joint Modeling of Distances and Times in Point-Count Surveys. Journal of Agricultural Biological and Environmental Statistics. 26(2). 289–305. 4 indexed citations

5.

Lewis‐Beck, Colin, et al.. (2020). Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model. Remote Sensing. 12(5). 827–827. 5 indexed citations

6.

Niemi, Jarad, et al.. (2020). Developing a decision‐making framework for insect pest management: a case study using Aphis glycines (Hemiptera: Aphididae). Pest Management Science. 77(2). 886–894. 14 indexed citations

7.

Stalder, Kenneth J., et al.. (2019). Development of Sow Lameness Classification Trees Using an Embedded Microcomputer-based Force Plate in a Commercial Setting. 2(2). 6. 2 indexed citations

8.

Niemi, Jarad, et al.. (2019). Multivariate temporal modeling of crime with dynamic linear models. PLoS ONE. 14(7). e0218375–e0218375. 1 indexed citations

9.

Schulte, Lisa A., Jarad Niemi, Matthew J. Helmers, et al.. (2017). Prairie strips improve biodiversity and the delivery of multiple ecosystem services from corn–soybean croplands. Proceedings of the National Academy of Sciences. 114(42). 11247–11252. 253 indexed citations breakdown →

10.

Schulte, Lisa A., et al.. (2016). Prairie strips as a mechanism to promote land sharing by birds in industrial agricultural landscapes. Agriculture Ecosystems & Environment. 220. 55–63. 25 indexed citations

11.

Niemi, Jarad, et al.. (2015). Empirical Bayes Analysis of RNA-seq Data for Detection of Gene Expression Heterosis. Journal of Agricultural Biological and Environmental Statistics. 20(4). 614–628. 7 indexed citations

12.

Brenner, David M., et al.. (2015). Medical Oxygen Concentrators for Releasing Seed Dormancy. Crop Science. 55(5). 2291–2293. 3 indexed citations

13.

Sheinson, Daniel, Jarad Niemi, & Wendy Meiring. (2014). Comparison of the performance of particle filter algorithms applied to tracking of a disease epidemic. Mathematical Biosciences. 255. 21–32. 20 indexed citations

14.

Daigle, Bernie J., Min K. Roh, Linda Petzold, & Jarad Niemi. (2012). Accelerated maximum likelihood parameter estimation for stochastic biochemical systems. BMC Bioinformatics. 13(1). 68–68. 35 indexed citations

15.

Ludkovski, Michael & Jarad Niemi. (2011). Optimal disease outbreak decisions using stochastic simulation. Winter Simulation Conference. 3849–3858. 3 indexed citations

16.

Niemi, Jarad & Mike West. (2010). Adaptive Mixture Modeling Metropolis Methods for Bayesian Analysis of Nonlinear State-Space Models. Journal of Computational and Graphical Statistics. 19(2). 260–280. 10 indexed citations

17.

Wang, Quanli, Jarad Niemi, Cheemeng Tan, Lingchong You, & Mike West. (2009). Image segmentation and dynamic lineage analysis in single‐cell fluorescence microscopy. Cytometry Part A. 77A(1). 101–110. 75 indexed citations

18.

Niemi, Jarad, et al.. (2008). Contrarian strategies for NCAA tournament pools: A cure for march madness?. CHANCE. 21(1). 35–42.

19.

Tan, Cheemeng, Hao Song, Jarad Niemi, & Lingchong You. (2007). A synthetic biology challenge: making cells compute. Molecular BioSystems. 3(5). 343–353. 30 indexed citations

20.

Simmons, Michael J, et al.. (2004). The P Cytotype in Drosophila melanogaster: A Maternally Transmitted Regulatory State of the Germ Line Associated With Telomeric P Elements. Genetics. 166(1). 243–254. 23 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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