Negin Behnia

400 citations
13 papers · 330 indexed · h-index 6
Topics
Hydrological Forecasting Using AI (5 papers)Remote Sensing in Agriculture (4 papers)Remote Sensing and LiDAR Applications (3 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of HydrologyEcological Indicators
Partner nations
IranSwedenItaly

In The Last Decade

Negin Behnia

12 papers receiving 322 citations

Peers

Negin Behnia
Comparison fields: 5 of 55
  • Environmental Engineering 224
  • Water Science and Technology 145
  • Global and Planetary Change 101
  • Electrical and Electronic Engineering 48
  • Soil Science 41
Replace Sandra M. Guzmán with:
Sandra M. Guzmán United States
Mansour Talebizadeh United States
Pavel Pech Czechia
Ammar Hatem Kamel Iraq
Wan Zurina Wan Jaafar Malaysia
Fereshteh Taromideh Iran
Kichul Jung South Korea
Ruodan Zhuang Italy
Ngoc Duong Vo Vietnam
Gurjeet Singh India
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Citations per field
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Sandra M. Guzmán · 1×
Citations per year

Countries citing papers authored by Negin Behnia

Since Specialization
Citations

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

Fields of papers citing papers by Negin Behnia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Negin Behnia

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 8
3 14
4
Evaluation of a Hierarchical Classification Method and Statistical Comparison with Pixel-Based and Object-Oriented Approaches
1
5 2
6 1
7 4
8 11
9 4
10 5
11 201
12 2
13 77

About Negin Behnia

Negin Behnia is a scholar working on Environmental Engineering, Analytical Chemistry and Ecological Modeling, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (5 papers), Remote Sensing in Agriculture (4 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Environmental Engineering (224 citations), Water Science and Technology (145 citations) and Global and Planetary Change (101 citations). Negin Behnia has collaborated with scholars based in Iran, Sweden and Italy. Frequent co-authors include Vahid Moosavi, Bagher Shirmohammadi, Mehdi Vafakhah, Seyed Hamidreza Sadeghi, Mohammad Zare, Mohammad Ali Hakimzadeh Ardakani, Ronny Berndtsson, Christian Massari and Krzysztof Stereńczak. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Ecological Indicators.

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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