Amy McNally

3.2k total citations · 2 hit papers
54 papers, 1.9k citations indexed

About

Amy McNally is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Atmospheric Science. According to data from OpenAlex, Amy McNally has authored 54 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Global and Planetary Change, 12 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Atmospheric Science. Recurrent topics in Amy McNally's work include Climate variability and models (19 papers), Hydrology and Drought Analysis (18 papers) and Climate change impacts on agriculture (11 papers). Amy McNally is often cited by papers focused on Climate variability and models (19 papers), Hydrology and Drought Analysis (18 papers) and Climate change impacts on agriculture (11 papers). Amy McNally collaborates with scholars based in United States, Netherlands and Australia. Amy McNally's co-authors include Shraddhanand Shukla, Chris Funk, Kristi R. Arsenault, C. D. Peters‐Lidard, J. P. Verdin, Shugong Wang, Sujay V. Kumar, Erin A. Mordecai, Tal Ben‐Horin and Kevin D. Lafferty and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Amy McNally

53 papers receiving 1.9k 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 land data assimilation system for sub-Saharan Africa food and water security applications

2017 445 citations Amy McNally, Kristi R. Arsenault et al. Scientific Data profile →
Optimal temperature for malaria transmission is dramatically lower than previously predicted

2012 423 citations Erin A. Mordecai, Krijn P. Paaijmans et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy McNally United States	18	838	426	412	356	273	54	1.9k
Alexandre S. Gagnon United Kingdom	21	573 0.7×	567 1.3×	200 0.5×	150 0.4×	330 1.2×	54	2.1k
Caio A. S. Coelho Brazil	26	2.2k 2.6×	1.4k 3.3×	228 0.6×	431 1.2×	209 0.8×	71	3.0k
Leonard K. Amekudzi Ghana	25	970 1.2×	524 1.2×	153 0.4×	215 0.6×	207 0.8×	77	1.7k
Joel O. Botai South Africa	23	812 1.0×	230 0.5×	111 0.3×	217 0.6×	265 1.0×	78	1.7k
Philippe Gachon Canada	30	2.1k 2.5×	1.3k 3.0×	181 0.4×	823 2.3×	156 0.6×	80	3.0k
Monia Santini Italy	24	677 0.8×	222 0.5×	108 0.3×	300 0.8×	321 1.2×	50	1.5k
Forrest Melton United States	26	2.0k 2.4×	560 1.3×	209 0.5×	704 2.0×	980 3.6×	70	3.9k
Jean‐Pierre Lacaux France	25	879 1.0×	805 1.9×	381 0.9×	132 0.4×	220 0.8×	46	1.9k
Deborah Hemming United Kingdom	18	978 1.2×	613 1.4×	167 0.4×	206 0.6×	200 0.7×	36	1.8k
Robert G. Crane United States	21	1.2k 1.4×	1.1k 2.7×	140 0.3×	325 0.9×	123 0.5×	45	1.9k

Countries citing papers authored by Amy McNally

Since Specialization

Citations

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

Fields of papers citing papers by Amy McNally

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy McNally

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

Hoell, Andrew, Rochelle P. Worsnop, Rachel Robinson, et al.. (2025). An Unexpected Outcome Followed an Apparent Seasonal Forecast of Opportunity and Prolonged Drought in Southwest Asia. International Journal of Climatology. 45(8).

Anderson, Weston, Shraddhanand Shukla, Andrew Hoell, et al.. (2024). Preseason maize and wheat yield forecasts for early warning of crop failure. Nature Communications. 15(1). 7262–7262. 9 indexed citations

Grace, Kathryn, et al.. (2023). Considering soil moisture in models of climate impacts on child health in farming-centric countries. Population and Environment. 45(3). 1 indexed citations

Hobbins, Mike, D. P. Sarmiento, Amy McNally, et al.. (2023). A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring. Scientific Data. 10(1). 746–746. 11 indexed citations

Davenport, Frank, Shraddhanand Shukla, G. J. Husak, et al.. (2022). Maize yield forecasts for Sub-Saharan Africa using Earth Observation data and machine learning. Global Food Security. 33. 100643–100643. 24 indexed citations

McNally, Amy, Jossy P. Jacob, Kristi R. Arsenault, et al.. (2022). A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan. Earth system science data. 14(7). 3115–3135. 25 indexed citations

Macharia, Denis, et al.. (2022). Estimating groundwater use and demand in arid Kenya through assimilation of satellite data and in-situ sensors with machine learning toward drought early action. The Science of The Total Environment. 831. 154453–154453. 15 indexed citations

Shukla, Shraddhanand, Kristi R. Arsenault, C. D. Peters‐Lidard, et al.. (2020). Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products. Natural hazards and earth system sciences. 20(4). 1187–1201. 23 indexed citations

Hobbins, Mike, L. Harrison, G. J. Husak, et al.. (2019). Drought in Africa: Understanding and Exploiting the Demand Perspective Using a New Evaporative Demand Reanalysis. 5 indexed citations

10.

Davenport, Frank, L. Harrison, Shraddhanand Shukla, et al.. (2019). Using out-of-sample yield forecast experiments to evaluate which earth observation products best indicate end of season maize yields. Environmental Research Letters. 14(12). 124095–124095. 13 indexed citations

11.

Uz, Stephanie Schollaert, Alex C. Ruane, B. N. Duncan, et al.. (2019). Earth Observations and Integrative Models in Support of Food and Water Security. Remote Sensing in Earth Systems Sciences. 2(1). 18–38. 13 indexed citations

12.

Shukla, Shraddhanand, Chris Funk, Pete Peterson, et al.. (2017). The Climate Hazards group InfraRed Precipitation with Stations (CHIRPS) dataset and its applications in drought risk management. EGU General Assembly Conference Abstracts. 11498. 7 indexed citations

13.

Pervez, M. S., Amy McNally, & Kristi R. Arsenault. (2017). Multi-model perspectives and inter-comparison of soil moisture and evapotranspiration in East Africa—an application of Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS). AGU Fall Meeting Abstracts. 2017. 1 indexed citations

14.

McNally, Amy, Hahn Chul Jung, M. S. Pervez, et al.. (2016). Hydrologic Modeling for Monitoring Water Availability in Africa. 2016. 1 indexed citations

15.

Pervez, M. S., Amy McNally, & Shraddhanand Shukla. (2016). Evaluation of Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) and application in East Africa. 2016. 1 indexed citations

16.

Ryan, Sadie J., Amy McNally, Leah R. Johnson, et al.. (2015). Mapping Physiological Suitability Limits for Malaria in Africa Under Climate Change. Vector-Borne and Zoonotic Diseases. 15(12). 718–725. 98 indexed citations

17.

Peterson, Pete, Chris Funk, M. F. Landsfeld, et al.. (2014). The Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) Dataset: Quasi-Global Precipitation Estimates for Drought Monitoring and Trend Analysis. AGU Fall Meeting Abstracts. 2014. 1 indexed citations

18.

Ryan, Sadie J., Amy McNally, Leah R. Johnson, et al.. (2014). Rising suitability and declining severity of malaria transmission in Africa under climate change. arXiv (Cornell University). 2 indexed citations

19.

Shukla, Shraddhanand, Amy McNally, G. J. Husak, & Chris Funk. (2014). A seasonal agricultural drought forecast system for food-insecure regions of East Africa. Hydrology and earth system sciences. 18(10). 3907–3921. 120 indexed citations

20.

McNally, Amy, Darrin Magee, & Aaron T. Wolf. (2008). Hydropower and sustainability: Resilience and vulnerability in China's powersheds. Journal of Environmental Management. 90. S286–S293. 85 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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