Mahla Nejati

634 citations
10 papers · 439 indexed · 1 hit paper · h-index 5
Topics
Smart Agriculture and AI (5 papers)Plant Reproductive Biology (4 papers)Plant and animal studies (3 papers)
Journals
Biosystems EngineeringJournal of Field RoboticsResearch Commons (University of Waikato)
Partner nations
New ZealandJapan

In The Last Decade

Mahla Nejati

9 papers receiving 427 citations

Hit Papers

Robotic kiwifruit harvesting using machine vision, convol...2019202620212023201950100150200250

Peers

Mahla Nejati
Comparison fields: 5 of 60
  • Plant Science 357
  • Mechanical Engineering 88
  • Analytical Chemistry 47
  • Biomedical Engineering 38
  • Molecular Biology 35
Replace Matthew Seabright with:
Matthew Seabright New Zealand
Jamie Bell New Zealand
Mark Hedley Jones New Zealand
Alistair Scarfe New Zealand
Shengyi Zhao China
Nikos Mylonas Greece
Yuanyue Ge Norway
E.J. Pekkeriet Netherlands
Abhisesh Silwal United States
Zhenchao Wu China
Mahla Nejati relative to Matthew Seabright New Zealand Matthew Seabright's profile →
Citations per field
00.5×1.5×
Matthew Seabright · 1×
Citations per year

Countries citing papers authored by Mahla Nejati

Since Specialization
Citations

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

Fields of papers citing papers by Mahla Nejati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahla Nejati

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 4
3 8
4
Robotic kiwifruit harvesting using machine vision, convolutional neural networks, and robotic armsbreakdown →
255
5 0
6 88
7 66
8
Robotic Pollination - Targeting kiwifruit flowers for commercial application
10
9 2
10
First report of Alternaria alternata causing leaf spot on Populus euphratica in Iran.
2

About Mahla Nejati

Mahla Nejati is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 10 papers that have together received 439 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Plant Reproductive Biology (4 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Plant Science (357 citations), Analytical Chemistry (47 citations) and Industrial and Manufacturing Engineering (28 citations). Mahla Nejati has collaborated with scholars based in New Zealand and Japan. Frequent co-authors include Matthew Seabright, Mark Hedley Jones, Mike Duke, Jamie Bell, Henry Williams, Bruce A. MacDonald, Ho Seok Ahn, Alistair Scarfe, JongYoon Lim and P. Schaare. Their work appears in journals such as Biosystems Engineering, Journal of Field Robotics and Research Commons (University of Waikato).

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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