Suchet Bargoti

895 total citations · 1 hit paper
12 papers, 643 citations indexed

About

Suchet Bargoti is a scholar working on Plant Science, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Suchet Bargoti has authored 12 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Mechanical Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Suchet Bargoti's work include Smart Agriculture and AI (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Structural Integrity and Reliability Analysis (3 papers). Suchet Bargoti is often cited by papers focused on Smart Agriculture and AI (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Structural Integrity and Reliability Analysis (3 papers). Suchet Bargoti collaborates with scholars based in Australia, United States and Sweden. Suchet Bargoti's co-authors include James Underwood, Juan Nieto, Salah Sukkarieh, Marco Castillo, Zain Ul Abıdın, Junaid Khan, Lloyd Windrim and Junaid Khan and has published in prestigious journals such as Sensors, Journal of Field Robotics and Acta Horticulturae.

In The Last Decade

Suchet Bargoti

8 papers receiving 621 citations

Hit Papers

Image Segmentation for Fruit Detection and Yield Estimati... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suchet Bargoti Australia 5 554 189 179 118 61 12 643
Josep Ramon Morros Spain 10 441 0.8× 137 0.7× 120 0.7× 116 1.0× 121 2.0× 26 592
Jordi Gené-Mola Spain 15 692 1.2× 224 1.2× 168 0.9× 234 2.0× 67 1.1× 28 849
Md Sultan Mahmud United States 12 539 1.0× 145 0.8× 127 0.7× 99 0.8× 52 0.9× 29 751
Zhihua Diao China 12 428 0.8× 104 0.6× 160 0.9× 68 0.6× 92 1.5× 33 645
Chunlong Zhang China 17 506 0.9× 156 0.8× 108 0.6× 111 0.9× 125 2.0× 38 754
Suraj Amatya United States 10 834 1.5× 247 1.3× 196 1.1× 165 1.4× 56 0.9× 14 947
Thiago Teixeira Santos Brazil 10 508 0.9× 149 0.8× 162 0.9× 58 0.5× 95 1.6× 18 665
Pieter M. Blok Netherlands 9 472 0.9× 113 0.6× 146 0.8× 43 0.4× 71 1.2× 17 622
Duke M. Bulanon United States 12 537 1.0× 157 0.8× 238 1.3× 91 0.8× 140 2.3× 27 822
Anand Koirala Australia 12 944 1.7× 272 1.4× 309 1.7× 123 1.0× 118 1.9× 20 1.1k

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-authorship network of co-authors of Suchet Bargoti

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

All Works

12 of 12 papers shown
1.
2.
Castillo, Marco, et al.. (2023). Atmospheric Corrosion Detection and Management with Artificial Intelligence. Materials performance. 62(4). 48–52. 1 indexed citations
3.
5.
Bargoti, Suchet, et al.. (2020). Automated Corrosion Mapping AI & Machine Learning. 4 indexed citations
6.
Bargoti, Suchet, et al.. (2020). High Accuracy Underwater Visual Measurement.
7.
Bargoti, Suchet & James Underwood. (2017). Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards. Journal of Field Robotics. 34(6). 1039–1060. 361 indexed citations breakdown →
8.
Bargoti, Suchet. (2017). Fruit Detection and Tree Segmentation for Yield Mapping in Orchards. The Sydney eScholarship Repository (The University of Sydney). 1 indexed citations
9.
Bargoti, Suchet & James Underwood. (2016). Image classification with orchard metadata. 5164–5170. 13 indexed citations
10.
Bargoti, Suchet, James Underwood, Juan Nieto, & Salah Sukkarieh. (2016). Trunk localisation in trellis structured orchards. Acta Horticulturae. 625–630. 1 indexed citations
11.
Bargoti, Suchet, et al.. (2016). Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry. Sensors. 16(11). 1915–1915. 223 indexed citations
12.
Bargoti, Suchet, James Underwood, Juan Nieto, & Salah Sukkarieh. (2015). A Pipeline for Trunk Detection in Trellis Structured Apple Orchards. Journal of Field Robotics. 32(8). 1075–1094. 37 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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