Leila Farhadi

591 citations
26 papers · 460 indexed · h-index 13
Topics
Soil Moisture and Remote Sensing (9 papers)Plant Water Relations and Carbon Dynamics (9 papers)Fluid Dynamics Simulations and Interactions (6 papers)
Partner nations
United StatesIranChina

In The Last Decade

Leila Farhadi

25 papers receiving 440 citations

Peers

Leila Farhadi
Comparison fields: 5 of 57
  • Computational Mechanics 185
  • Global and Planetary Change 123
  • Environmental Engineering 118
  • Atmospheric Science 114
  • Civil and Structural Engineering 71
Replace Cheng Dai with:
Cheng Dai China
Ø. Johnsen Norway
Stephen Solovitz United States
Vanesa Magar United Kingdom
James M. Oliver United Kingdom
Ahmed Ould El Moctar France
M. Creyssels France
Masayasu Ueno Japan
Angela Busse United Kingdom
Nicolas Lenoir France
Leila Farhadi relative to Cheng Dai China Cheng Dai's profile →
Citations per field
00.5×4.5×
Cheng Dai · 1×
Citations per year

Countries citing papers authored by Leila Farhadi

Since Specialization
Citations

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

Fields of papers citing papers by Leila Farhadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Farhadi

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Farhadi. A scholar is included among the top collaborators of Leila Farhadi 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 Leila Farhadi. Leila Farhadi 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 1
3 0
4 4
5 4
6 1
7 15
8 6
9 32
10 12
11 7
12 24
13 35
14 12
15 30
16 19
17 2
18 17
19 19
20 55

About Leila Farhadi

Leila Farhadi is a scholar working on Environmental Engineering, Condensed Matter Physics and Global and Planetary Change, having authored 26 papers that have together received 460 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (9 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Fluid Dynamics Simulations and Interactions (6 papers). The work is most often cited by research in Computational Mechanics (185 citations), Environmental Engineering (118 citations) and Atmospheric Science (114 citations). Leila Farhadi has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Behzad Ataie‐Ashtiani, Mohammad Amin Nabian, Gholamreza Shobeyri, Dara Entekhabi, Guido D. Salvucci, Jennifer L. Ross, Rae M. Robertson‐Anderson, Moumita Das, Michael J. Rust and Jian Sun. Their work appears in journals such as Nature Communications, Scientific Reports and Water Resources Research.

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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