Andrew Crane‐Droesch

1.2k total citations · 1 hit paper
13 papers, 817 citations indexed

About

Andrew Crane‐Droesch is a scholar working on Epidemiology, Soil Science and General Health Professions. According to data from OpenAlex, Andrew Crane‐Droesch has authored 13 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Soil Science and 2 papers in General Health Professions. Recurrent topics in Andrew Crane‐Droesch's work include Sepsis Diagnosis and Treatment (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers) and Disaster Response and Management (2 papers). Andrew Crane‐Droesch is often cited by papers focused on Sepsis Diagnosis and Treatment (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers) and Disaster Response and Management (2 papers). Andrew Crane‐Droesch collaborates with scholars based in United States, Canada and Switzerland. Andrew Crane‐Droesch's co-authors include Simon Jeffery, Margaret Torn, Samuel Abiven, Gary E. Weissman, Scott D. Halpern, Corey Chivers, Mark E. Mikkelsen, Michael Draugelis, Patrick J. Brennan and Michael Z. Levy and has published in prestigious journals such as Annals of Internal Medicine, Critical Care Medicine and Environmental Research Letters.

In The Last Decade

Andrew Crane‐Droesch

12 papers receiving 785 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.

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

2018 302 citations Andrew Crane‐Droesch Environmental Research Letters profile →

Peers

Andrew Crane‐Droesch

PS

SS

MS

ECOLO

EEBS

Wei Hua China

Jennifer Cooper United States

André Carlos Auler Brazil

Ling Han China

Saddam Hussain Pakistan

Umesh Adhikari United States

Ning Miao China

Md. Anwarul Abedin Bangladesh

Florence De Longueville Belgium

Yumiao Zhang China

Wei Hua China

Andrew Crane‐Droesch

86 ×0.3

PS

123 ×0.6

SS

16 ×0.1

MS

96 ×1.0

ECOLO

36 ×0.4

EEBS

Citations per year, relative to Andrew Crane‐Droesch Andrew Crane‐Droesch (= 1×) peers Wei Hua

Countries citing papers authored by Andrew Crane‐Droesch

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Crane‐Droesch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Crane‐Droesch. 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 Andrew Crane‐Droesch. The network helps show where Andrew Crane‐Droesch may publish in the future.

Co-authorship network of co-authors of Andrew Crane‐Droesch

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

All Works

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13 of 13 papers shown

1.

Weissenbacher, Davy, Katherine R. Courtright, Andrew Crane‐Droesch, et al.. (2024). Detecting goals of care conversations in clinical notes with active learning. Journal of Biomedical Informatics. 151. 104618–104618. 1 indexed citations

2.

Ginestra, Jennifer C., Rachel Kohn, Rebecca A. Hubbard, et al.. (2022). Association of Unit Census with Delays in Antimicrobial Initiation among Ward Patients with Hospital-acquired Sepsis. Annals of the American Thoracic Society. 19(9). 1525–1533. 4 indexed citations

3.

Ginestra, Jennifer C., Rachel Kohn, Rebecca A. Hubbard, et al.. (2022). Association of Unit Census with Delays in Antimicrobial Initiation among Ward Patients with Hospital-acquired Sepsis.. PubMed. 19(9). 1525–1533. 4 indexed citations

4.

Martin, Jacob A., Andrew Crane‐Droesch, Lyle Ungar, et al.. (2021). Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians’ encounter notes. Journal of the American Medical Informatics Association. 29(1). 109–119. 10 indexed citations

5.

Crane‐Droesch, Andrew, et al.. (2021). Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. Journal of Biomedical Informatics. 125. 103971–103971. 8 indexed citations

6.

Kohn, Rachel, Jennifer C. Ginestra, Rebecca A. Hubbard, et al.. (2021). 1406: ASSOCIATION OF TIME OF DAY WITH ANTIMICROBIAL START FOR WARD PATIENTS WITH HOSPITAL-ACQUIRED SEPSIS. Critical Care Medicine. 50(1). 705–705. 2 indexed citations

7.

Weissman, Gary E., Andrew Crane‐Droesch, Corey Chivers, et al.. (2020). Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic. Annals of Internal Medicine. 173(1). 21–28. 194 indexed citations

8.

Weissman, Gary E., Andrew Crane‐Droesch, Corey Chivers, Mark E. Mikkelsen, & Scott D. Halpern. (2020). Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic. Annals of Internal Medicine. 173(8). 680–681. 28 indexed citations

9.

Crane‐Droesch, Andrew, et al.. (2019). Climate Change and Agricultural Risk Management Into the 21st Century. AgEcon Search (University of Minnesota, USA). 10 indexed citations

10.

Crane‐Droesch, Andrew. (2018). Machine learning methods for crop yield prediction and climate change impact assessment in agriculture. Environmental Research Letters. 13(11). 114003–114003. 302 indexed citations breakdown →

11.

Crane‐Droesch, Andrew. (2017). Technology Diffusion, Outcome Variability, and Social Learning: Evidence from a Field Experiment in Kenya. American Journal of Agricultural Economics. 100(3). 955–974. 20 indexed citations

12.

Crane‐Droesch, Andrew. (2015). Biochar for sustainable agricultural intensification: technical/economic potential, and technology adoption. eScholarship (California Digital Library).

13.

Crane‐Droesch, Andrew, Samuel Abiven, Simon Jeffery, & Margaret Torn. (2013). Heterogeneous global crop yield response to biochar: a meta-regression analysis. Environmental Research Letters. 8(4). 44049–44049. 234 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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