Maggie O’Neil

449 total citations
10 papers, 331 citations indexed

About

Maggie O’Neil is a scholar working on Ecology, Media Technology and Plant Science. According to data from OpenAlex, Maggie O’Neil has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecology, 2 papers in Media Technology and 2 papers in Plant Science. Recurrent topics in Maggie O’Neil's work include Remote Sensing in Agriculture (2 papers), Smart Agriculture and AI (2 papers) and Remote-Sensing Image Classification (2 papers). Maggie O’Neil is often cited by papers focused on Remote Sensing in Agriculture (2 papers), Smart Agriculture and AI (2 papers) and Remote-Sensing Image Classification (2 papers). Maggie O’Neil collaborates with scholars based in United States, United Kingdom and Ethiopia. Maggie O’Neil's co-authors include Brooks Depro, Christopher Timmins, Matt J. Keeling, Justine Allpress, Thomas House, Gary Smith, Michael J. Tildesley, Robert Chew, Meghan Hegarty‐Craver and Robert Beach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Comprehensive Reviews in Food Science and Food Safety and Ophthalmic Epidemiology.

In The Last Decade

Maggie O’Neil

9 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maggie O’Neil United States	6	61	60	50	43	39	10	331
Philip A. Collender United States	12	78 1.3×	16 0.3×	32 0.6×	22 0.5×	12 0.3×	29	484
Olivier Girardin Ivory Coast	14	26 0.4×	140 2.3×	38 0.8×	16 0.4×	13 0.3×	31	463
G. P. S. Dhillon India	11	26 0.4×	99 1.6×	50 1.0×	17 0.4×	5 0.1×	50	446
Floor Borlée Netherlands	14	16 0.3×	29 0.5×	19 0.4×	19 0.4×	9 0.2×	21	517
Tadesse Birhanu Ethiopia	10	15 0.2×	65 1.1×	10 0.2×	9 0.2×	15 0.4×	30	303
Nguyễn Văn Hảo Vietnam	16	60 1.0×	29 0.5×	16 0.3×	11 0.3×	11 0.3×	41	676
Jiabing Wu China	15	11 0.2×	95 1.6×	96 1.9×	16 0.4×	31 0.8×	52	657
Connie Austin United States	12	78 1.3×	22 0.4×	21 0.4×	14 0.3×	13 0.3×	22	641
D Campbell-Lendrum	3	18 0.3×	12 0.2×	12 0.2×	20 0.5×	20 0.5×	3	284
Valérie Hongoh Canada	8	18 0.3×	9 0.1×	42 0.8×	13 0.3×	15 0.4×	13	291

Countries citing papers authored by Maggie O’Neil

Since Specialization

Citations

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

Fields of papers citing papers by Maggie O’Neil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maggie O’Neil. 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 Maggie O’Neil. The network helps show where Maggie O’Neil may publish in the future.

Co-authorship network of co-authors of Maggie O’Neil

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

All Works

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10 of 10 papers shown

Chew, Robert, et al.. (2020). Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images. Drones. 4(1). 7–7. 76 indexed citations

Hegarty‐Craver, Meghan, et al.. (2019). The use of Sentinel-1 and -2 data for monitoring maize production in Rwanda. 72–72. 4 indexed citations

Willis, Rebecca, et al.. (2018). Prevalence of Trachoma in Senegal: Results of Baseline Surveys in 17 Districts. Ophthalmic Epidemiology. 25(sup1). 41–52. 5 indexed citations

Shafi, Oumer, Biruck Kebede, Michael D. French, et al.. (2016). Ethiopia and its steps to mobilize resources to achieve 2020 elimination and control goals for neglected tropical diseases: Spider webs joined can tie a lion. International Health. 8(suppl 1). i34–i52. 46 indexed citations

Depro, Brooks, Christopher Timmins, & Maggie O’Neil. (2015). White Flight and Coming to the Nuisance: Can Residential Mobility Explain Environmental Injustice?. Journal of the Association of Environmental and Resource Economists. 2(3). 439–468. 57 indexed citations

Muth, Mary K., et al.. (2013). Analysis of the Costs and Economic Feasibility of Requiring Postharvest Processing for Raw Oysters. Comprehensive Reviews in Food Science and Food Safety. 12(6). 652–661. 10 indexed citations

Tildesley, Michael J., Thomas House, Maggie O’Neil, et al.. (2009). Impact of spatial clustering on disease transmission and optimal control. Proceedings of the National Academy of Sciences. 107(3). 1041–1046. 83 indexed citations

Krill, Allison M., et al.. (2004). Plant Community Succession Following Disturbances in a Pine Barren and Adjacent Hardwood Forest. SUNY Digital Repository Support (State University of New York System). 1(1). 1.

O’Neil, Maggie, L. F. Abbott, Andrew A. Sharp, & Eve Marder. (1998). Dynamic clamp: computer-neural hybrids. MIT Press eBooks. 326–329. 3 indexed citations

10.

Gerety, Meghan B., Cynthia D. Mulrow, Michael R. Tuley, et al.. (1993). Development and Validation of a Physical Performance Instrument for the Functionally Impaired Elderly: The Physical Disability Index (PDI). Journal of Gerontology. 48(2). M33–M38. 47 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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