Nathaniel K. Newlands

1.6k total citations
56 papers, 1.1k citations indexed

About

Nathaniel K. Newlands is a scholar working on Global and Planetary Change, Ecology and Plant Science. According to data from OpenAlex, Nathaniel K. Newlands has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 16 papers in Ecology and 14 papers in Plant Science. Recurrent topics in Nathaniel K. Newlands's work include Climate change impacts on agriculture (12 papers), Fish Ecology and Management Studies (8 papers) and Remote Sensing in Agriculture (7 papers). Nathaniel K. Newlands is often cited by papers focused on Climate change impacts on agriculture (12 papers), Fish Ecology and Management Studies (8 papers) and Remote Sensing in Agriculture (7 papers). Nathaniel K. Newlands collaborates with scholars based in Canada, United States and Australia. Nathaniel K. Newlands's co-authors include Louis Kouadio, Yinsuo Zhang, Aston Chipanshi, Andrew Davidson, Harvey Hill, Daniel Pauly, Villy Christensen, H. H. Janzen, David Zamar and Yulia R. Gel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Canadian Journal of Fisheries and Aquatic Sciences.

In The Last Decade

Nathaniel K. Newlands

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel K. Newlands Canada 19 407 339 325 189 179 56 1.1k
Jonathan P. Resop United States 11 298 0.7× 168 0.5× 389 1.2× 191 1.0× 153 0.9× 23 831
Yvette Everingham Australia 18 271 0.7× 294 0.9× 668 2.1× 147 0.8× 242 1.4× 84 1.4k
Urs Schulthess United States 17 541 1.3× 253 0.7× 508 1.6× 249 1.3× 145 0.8× 37 1.2k
Roberto Confalonieri Italy 24 484 1.2× 435 1.3× 729 2.2× 202 1.1× 410 2.3× 67 1.5k
Glauco de Souza Rolim Brazil 19 297 0.7× 332 1.0× 644 2.0× 143 0.8× 83 0.5× 109 1.4k
Anna Dalla Marta Italy 23 353 0.9× 372 1.1× 824 2.5× 177 0.9× 330 1.8× 104 1.7k
Stewart S. Higgins United States 18 253 0.6× 299 0.9× 576 1.8× 118 0.6× 299 1.7× 46 1.2k
C.A.J.M. de Bie Netherlands 19 516 1.3× 430 1.3× 271 0.8× 200 1.1× 191 1.1× 50 1.4k
Mike Rivington United Kingdom 20 237 0.6× 602 1.8× 348 1.1× 138 0.7× 499 2.8× 49 1.6k
Amy L. Kaleita United States 19 305 0.7× 227 0.7× 304 0.9× 352 1.9× 105 0.6× 84 1.2k

Countries citing papers authored by Nathaniel K. Newlands

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel K. Newlands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel K. Newlands. 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 Nathaniel K. Newlands. The network helps show where Nathaniel K. Newlands may publish in the future.

Co-authorship network of co-authors of Nathaniel K. Newlands

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

All Works

20 of 20 papers shown
1.
Mahmoodi, Shirin, et al.. (2024). Modeling spatiotemporal distribution of yellow rust wheat pathogen using machine learning algorithms: Insights from environmental assessment. Environmental Technology & Innovation. 36. 103865–103865. 1 indexed citations
2.
Burr, Wesley S., Nathaniel K. Newlands, & Andrew Zammit‐Mangion. (2023). Environmental data science: Part 2. Environmetrics. 34(2). 1 indexed citations
3.
Mbuvha, Rendani, et al.. (2023). A novel workflow for streamflow prediction in the presence of missing gauge observations. SHILAP Revista de lepidopterología. 2. 2 indexed citations
4.
Newlands, Nathaniel K., et al.. (2023). Assessing the Performance of Satellite-Based Models for Crop Yield Estimation in the Canadian Prairies. Canadian Journal of Remote Sensing. 49(1). 1 indexed citations
5.
Zammit‐Mangion, Andrew, Nathaniel K. Newlands, & Wesley S. Burr. (2023). Environmental data science: Part 1. Environmetrics. 34(1). 1 indexed citations
6.
Caudill, C. M., et al.. (2023). Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica. Geosciences. 13(3). 64–64. 11 indexed citations
7.
Newlands, Nathaniel K., et al.. (2022). Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12538–12544. 4 indexed citations
8.
Newlands, Nathaniel K., et al.. (2019). Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes. North American Actuarial Journal. 23(4). 535–550. 24 indexed citations
9.
Kouadio, Louis & Nathaniel K. Newlands. (2015). Building capacity for assessing spatial-based sustainability metrics in agriculture. Econstor (Econstor). 2(1). 8 indexed citations
10.
Leggett, Mary, et al.. (2014). Maize yield response to a phosphorus-solubilizing microbial inoculant in field trials. The Journal of Agricultural Science. 153(8). 1464–1478. 43 indexed citations
13.
Newlands, Nathaniel K., L. Townley‐Smith, & T. A. Porcelli. (2012). A Renewable Source of Jetfuel from Alternative Oilseeds? Predicting Crop Response under Environmental Variability. 2 indexed citations
14.
Newlands, Nathaniel K.. (2007). GHGFarm: a software tool to estimate and reduce net-greenhouse gas emission from farms in Canada. 50(3). 7–13. 1 indexed citations
15.
Newlands, Nathaniel K. & T. A. Porcelli. (2007). Measurement of the size, shape and structure of Atlantic bluefin tuna schools in the open ocean. Fisheries Research. 91(1). 42–55. 17 indexed citations
17.
Janzen, H. H., Denis A. Angers, Martin A. Bolinder, et al.. (2006). A proposed approach to estimate and reduce net greenhouse gas emissions from whole farms. Canadian Journal of Soil Science. 86(3). 401–418. 89 indexed citations
18.
Griffiths, Ronald W., Nathaniel K. Newlands, David L. G. Noakes, & F. W. H. Beamish. (2004). Northern pike (Esox lucius) growth and mortality in a northern Ontario river compared with that in lakes: influence of flow. Ecology Of Freshwater Fish. 13(2). 136–144. 11 indexed citations
19.
Newlands, Nathaniel K., et al.. (2003). Automated parameter optimization for Ecopath ecosystem models. Ecological Modelling. 172(2-4). 141–149. 89 indexed citations
20.
Mackinson, Steven, Marcelo Vasconcellos, & Nathaniel K. Newlands. (1999). A new approach to the analysis of stock-recruitment relationships: "model-free estimation" using fuzzy logic. Canadian Journal of Fisheries and Aquatic Sciences. 56(4). 686–699. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026