Suchet Bargoti

911 citations
12 papers · 650 · 1 hit paper · h-index 5

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Date Palm Research Studies
    • Horticultural and Viticultural Research

Papers in

    • Smart Agriculture and AI 4
    • Horticultural and Viticultural Research 2
    • Plant Surface Properties and Treatments 2
    • Structural Integrity and Reliability Analysis 3
    • Non-Destructive Testing Techniques 3

Suchet Bargoti

8 papers receiving 630 citations

Suchet Bargoti's Hit Papers

Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards 2017 · 366 citations
3660+3+6Years since publication100200300

Peers

Suchet Bargoti
Comparison fields: 5 of 62
  • Analytical Chemistry 179
  • Plant Science 558
  • Environmental Engineering 120
  • Ecology 189
  • Industrial and Manufacturing Engineering 53
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Suchet Bargoti relative to Suraj Amatya United States Suraj Amatya's profile →
Citations per field
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Citations per year

Countries citing papers authored by Suchet Bargoti

Since Specialization
Citations

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

Fields of papers citing papers by Suchet Bargoti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Suchet Bargoti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suchet Bargoti Line = papers co-authored together Suchet Bargoti links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
Hit paper breakdown →
2017366
2 2016225
3 201537
4 201613
5 20204
6 20211
7 20231
8 20221
9 20161
10
Fruit Detection and Tree Segmentation for Yield Mapping in Orchards
20171
11 20240
12 20200

About Suchet Bargoti

Suchet Bargoti is a scholar working on Plant Science, Mechanical Engineering, Civil and Structural Engineering, Analytical Chemistry and Ocean Engineering, having authored 12 papers that have together received 650 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (4 papers), Smart Agriculture and AI (4 papers), Structural Integrity and Reliability Analysis (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Non-Destructive Testing Techniques (3 papers), Horticultural and Viticultural Research (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Plant Surface Properties and Treatments (2 papers). The work is most often cited by research in Analytical Chemistry (179 citations), Plant Science (558 citations), Environmental Engineering (120 citations), Ecology (189 citations) and Industrial and Manufacturing Engineering (53 citations). Suchet Bargoti has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include James Underwood, Salah Sukkarieh, Juan Nieto, Junaid Khan, Marco Castillo, Junaid Khan, Lloyd Windrim and Zain Ul Abıdın. Their work appears in journals such as Journal of Field Robotics, Sensors, Materials performance, Acta Horticulturae and The Sydney eScholarship Repository (The University of Sydney).

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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