Pouria Sadeghi‐Tehran

1.5k citations
24 papers · 924 indexed · 1 hit paper · h-index 12
Topics
Remote Sensing in Agriculture (7 papers)Smart Agriculture and AI (7 papers)Video Surveillance and Tracking Methods (6 papers)

In The Last Decade

Pouria Sadeghi‐Tehran

24 papers receiving 898 citations

Hit Papers

Field Scanalyzer: An automated robotic field phenotyping ...2016202620192022201650100150200250

Peers

Pouria Sadeghi‐Tehran
Comparison fields: 5 of 79
  • Plant Science 633
  • Ecology 374
  • Analytical Chemistry 168
  • Computer Vision and Pattern Recognition 152
  • Environmental Engineering 128
Replace Simon Madec with:
Simon Madec France
Masayuki Hirafuji Japan
Anders Krogh Mortensen Denmark
Nicolas Virlet United Kingdom
Mads Dyrmann Denmark
Benoît de Solan France
Huasheng Huang China
Chunjiang Zhao China
Jiwan Han China
Pouria Sadeghi‐Tehran relative to Simon Madec France Simon Madec's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pouria Sadeghi‐Tehran

Since Specialization
Citations

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

Fields of papers citing papers by Pouria Sadeghi‐Tehran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pouria Sadeghi‐Tehran. 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 Pouria Sadeghi‐Tehran. The network helps show where Pouria Sadeghi‐Tehran may publish in the future.

Co-authorship network of co-authors of Pouria Sadeghi‐Tehran

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 9
4 14
5 7
6 33
7 168
8 20
9 112
10 43
11 89
12 14
13 9
14 9
15 6
16 3
17
Self-evolving parameter-free Rule-based Controller:SPARC
1
18 20
19
A real-time approach to autonomous novelty detection and object tracking in video stream
5
20 53

About Pouria Sadeghi‐Tehran

Pouria Sadeghi‐Tehran is a scholar working on Computer Vision and Pattern Recognition, Analytical Chemistry and Ecology, having authored 24 papers that have together received 924 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Smart Agriculture and AI (7 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Analytical Chemistry (168 citations), Plant Science (633 citations) and Ecology (374 citations). Pouria Sadeghi‐Tehran has collaborated with scholars based in United Kingdom, Switzerland and Morocco. Frequent co-authors include Nicolas Virlet, Malcolm J. Hawkesford, Plamen Angelov, Ramin Ramezani, Scott Chapman, Frédéric Baret, Ian Stavness, Curtis Pozniak, Minhajul Arifin Badhon and Helge Aasen. Their work appears in journals such as Journal of Experimental Botany, Frontiers in Plant Science and Remote Sensing.

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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