M.G. O’Connell

980 total citations
52 papers, 766 citations indexed

About

M.G. O’Connell is a scholar working on Plant Science, Global and Planetary Change and Soil Science. According to data from OpenAlex, M.G. O’Connell has authored 52 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 19 papers in Global and Planetary Change and 17 papers in Soil Science. Recurrent topics in M.G. O’Connell's work include Horticultural and Viticultural Research (19 papers), Plant Physiology and Cultivation Studies (17 papers) and Plant Water Relations and Carbon Dynamics (17 papers). M.G. O’Connell is often cited by papers focused on Horticultural and Viticultural Research (19 papers), Plant Physiology and Cultivation Studies (17 papers) and Plant Water Relations and Carbon Dynamics (17 papers). M.G. O’Connell collaborates with scholars based in Australia, Italy and South Korea. M.G. O’Connell's co-authors include Ian Goodwin, Alessio Scalisi, David J. Connor, D.M. Whitfield, G. O'Leary, Sigfredo Fuentes, Hoam Chung, Dongryeol Ryu, Esther Hernández‐Montes and Garry J. O’Leary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Plant Science.

In The Last Decade

M.G. O’Connell

45 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.G. O’Connell Australia	17	470	233	191	183	130	52	766
Everardo Chartuni Mantovani Brazil	18	558 1.2×	337 1.4×	304 1.6×	455 2.5×	198 1.5×	145	1.2k
Rogério Teixeira de Faria Brazil	15	505 1.1×	193 0.8×	133 0.7×	370 2.0×	62 0.5×	112	796
Calvin D. Perry United States	15	551 1.2×	166 0.7×	97 0.5×	287 1.6×	72 0.6×	44	758
Luiz Roberto Angelocci Brazil	15	541 1.2×	334 1.4×	199 1.0×	283 1.5×	52 0.4×	61	895
Rangaswamy Madugundu Saudi Arabia	14	241 0.5×	210 0.9×	269 1.4×	86 0.5×	198 1.5×	48	636
Lucas Eduardo de Oliveira Aparecido Brazil	14	361 0.8×	180 0.8×	169 0.9×	121 0.7×	65 0.5×	101	757
Carlos Ballester Australia	18	763 1.6×	449 1.9×	276 1.4×	435 2.4×	130 1.0×	41	1.1k
Pete W. Jacoby United States	15	383 0.8×	330 1.4×	281 1.5×	132 0.7×	113 0.9×	44	752
Costanza Fiorentino Italy	12	192 0.4×	87 0.4×	168 0.9×	112 0.6×	134 1.0×	36	557
Tom De Swaef Belgium	19	837 1.8×	519 2.2×	260 1.4×	185 1.0×	128 1.0×	61	1.3k

Countries citing papers authored by M.G. O’Connell

Since Specialization

Citations

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

Fields of papers citing papers by M.G. O’Connell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. O’Connell

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. O’Connell. A scholar is included among the top collaborators of M.G. O’Connell 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 M.G. O’Connell. M.G. O’Connell 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

Scalisi, Alessio, et al.. (2024). Applying a solar model to LiDAR images of an agrivoltaic pear orchard. Acta Horticulturae. 111–118. 1 indexed citations

Scalisi, Alessio, M.G. O’Connell, D. Stefanelli, et al.. (2024). Narrow orchard systems for pome and stone fruit—a review. Scientia Horticulturae. 338. 113815–113815. 8 indexed citations

Scalisi, Alessio, et al.. (2024). Relationships between canopy radiation interception and LiDAR-derived geometry features in pome and stone fruit. Acta Horticulturae. 79–86. 1 indexed citations

Scalisi, Alessio, M.G. O’Connell, D.M. Whitfield, James Underwood, & Ian Goodwin. (2023). A ground-based mobile platform to measure and map canopy thermal indices in a nectarine orchard. Acta Horticulturae. 147–156. 2 indexed citations

Scalisi, Alessio, et al.. (2022). A Fruit Colour Development Index (CDI) to Support Harvest Time Decisions in Peach and Nectarine Orchards. Horticulturae. 8(5). 459–459. 23 indexed citations

Ryu, Dongryeol, et al.. (2021). Mapping Very-High-Resolution Evapotranspiration from Unmanned Aerial Vehicle (UAV) Imagery. ISPRS International Journal of Geo-Information. 10(4). 211–211. 19 indexed citations

Scalisi, Alessio, et al.. (2021). Diurnal irrigation timing affects fruit growth in late-ripening nectarines. Acta Horticulturae. 61–68. 3 indexed citations

Scalisi, Alessio & M.G. O’Connell. (2021). Relationships between Soluble Solids and Dry Matter in the Flesh of Stone Fruit at Harvest. MDPI (MDPI AG). 2(1). 14–24. 16 indexed citations

Ryu, Dongryeol, et al.. (2021). Dependence of CWSI-Based Plant Water Stress Estimation with Diurnal Acquisition Times in a Nectarine Orchard. Remote Sensing. 13(14). 2775–2775. 22 indexed citations

10.

Scalisi, Alessio, M.G. O’Connell, & Riccardo Lo Bianco. (2021). Field non-destructive determination of nectarine quality under deficit irrigation. Acta Horticulturae. 91–98. 1 indexed citations

11.

Grappadelli, Luca Corelli, Brunella Morandi, Luigi Manfrini, & M.G. O’Connell. (2019). Apoplasmic and simplasmic phloem unloading mechanisms: Do they co-exist in Angeleno plums under demanding environmental conditions?. Journal of Plant Physiology. 237. 104–110. 18 indexed citations

12.

Stefanelli, D., et al.. (2018). The effects of training systems and crop load on stored starch in young stone fruit trees. Acta Horticulturae. 141–148. 2 indexed citations

13.

O’Connell, M.G., et al.. (2016). Satellite-based benchmarking of yield and water use of perennial fruit crops in South Eastern Australia. Acta Horticulturae. 117–122. 1 indexed citations

14.

Ryu, Dongryeol, et al.. (2015). Estimation of crop water stress in a nectarine orchard using high-resolution imagery from unmanned aerial vehicle (UAV). 13 indexed citations

15.

Goodwin, Ian, et al.. (2011). VARIATION IN WITHIN-BLOCK ORCHARD CANOPY COVER - IMPLICATIONS FOR CROP WATER REQUIREMENT AND IRRIGATION MANAGEMENT. Acta Horticulturae. 233–239. 5 indexed citations

16.

O’Connell, M.G. & Ian Goodwin. (2007). Responses of ‘Pink Lady’ apple to deficit irrigation and partial rootzone drying: physiology, growth, yield, and fruit quality. Australian Journal of Agricultural Research. 58(11). 1068–1076. 52 indexed citations

17.

Goodwin, Ian, et al.. (2006). Effects of available soil volume on growth, bud fertility and water relations of young Shiraz grapevines. Australian Journal of Grape and Wine Research. 12(1). 30–38. 7 indexed citations

18.

Díaz‐Ambrona, Carlos Gregorio Hernández, Garry J. O’Leary, Víctor O. Sadras, M.G. O’Connell, & David J. Connor. (2005). Environmental risk analysis of farming systems in a semi-arid environment: effect of rotations and management practices on deep drainage. Field Crops Research. 94(2-3). 257–271. 23 indexed citations

19.

O’Connell, M.G., G. O'Leary, David J. Connor, & M. Unkovich. (2003). Non-fallow and tillage options for control of dryland salinity in the Murray Mallee. 0–4. 2 indexed citations

20.

O’Connell, M.G., David J. Connor, & G. O'Leary. (2002). Crop growth, yield and water use in long fallow and continuous cropping sequences in the Victorian mallee. Australian Journal of Experimental Agriculture. 42(7). 971–983. 21 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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