Nadia Delavarpour

436 citations
9 papers · 304 indexed · 1 hit paper · h-index 6
Topics
Smart Agriculture and AI (6 papers)Remote Sensing and LiDAR Applications (3 papers)Remote Sensing in Agriculture (3 papers)
Partner nations
United StatesChina

In The Last Decade

Nadia Delavarpour

8 papers receiving 297 citations

Hit Papers

A Technical Study on UAV Characteristics for Precision Ag...2021202620222024202150100150200

Peers

Nadia Delavarpour
Comparison fields: 5 of 59
  • Plant Science 155
  • Ecology 119
  • Environmental Engineering 77
  • Aerospace Engineering 61
  • Computer Vision and Pattern Recognition 36
Replace Søren Skovsen with:
Søren Skovsen Denmark
Alexander Schaefer Germany
Quan Qiu China
Gaurav Singhal India
Sheng Wen China
Ciro Potena Italy
Arun N. Sivakumar United States
Haoyu Niu United States
Wajahat Kazmi Denmark
Aleem Khaliq Italy
Nadia Delavarpour relative to Søren Skovsen Denmark Søren Skovsen's profile →
Citations per field
00.5×2.8×
Søren Skovsen · 1×
Citations per year

Countries citing papers authored by Nadia Delavarpour

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Delavarpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Delavarpour

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 10
2 14
3 9
4 7
5 21
6 0
7
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challengesbreakdown →
235
8 4
9 4

About Nadia Delavarpour

Nadia Delavarpour is a scholar working on Ecological Modeling, Environmental Engineering and Plant Science, having authored 9 papers that have together received 304 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Remote Sensing and LiDAR Applications (3 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Environmental Engineering (77 citations), Ecology (119 citations) and Plant Science (155 citations). Nadia Delavarpour has collaborated with scholars based in United States and China. Frequent co-authors include Sreekala G. Bajwa, Cengiz Koparan, John Nowatzki, Xin Sun, Paulo Flores, Nonoy Bandillo, Peter G. Oduor, Dean D. Steele, Xin Sun and Sulaymon Eshkabilov. Their work appears in journals such as Sensors, Remote Sensing and Applied Sciences.

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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