Leila Pakzad

1.5k citations
46 papers · 1.2k indexed · h-index 22
Topics
Fluid Dynamics and Mixing (25 papers)Electrical and Bioimpedance Tomography (10 papers)Inhalation and Respiratory Drug Delivery (8 papers)
Partner nations
CanadaChinaUnited States

In The Last Decade

Leila Pakzad

44 papers receiving 1.1k citations

Peers

Leila Pakzad
Comparison fields: 5 of 83
  • Biomedical Engineering 842
  • Computational Mechanics 433
  • Water Science and Technology 276
  • Mechanical Engineering 242
  • Electrical and Electronic Engineering 236
Replace Z. Jaworski with:
Z. Jaworski Poland
Chad P. J. Bennington Canada
J. Enrique Juliá Spain
Agnès Montillet France
A.M. Al Taweel Canada
Henry França Meier Brazil
Victor A. Atiemo‐Obeng United States
Ricardo J. Santos Portugal
W. Bujalski United Kingdom
Avinash Khopkar India
Leila Pakzad relative to Z. Jaworski Poland Z. Jaworski's profile →
Citations per field
00.5×2.9×
Z. Jaworski · 1×
Citations per year

Countries citing papers authored by Leila Pakzad

Since Specialization
Citations

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

Fields of papers citing papers by Leila Pakzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Pakzad

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Pakzad. A scholar is included among the top collaborators of Leila Pakzad 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 Pakzad. Leila Pakzad 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 3
2 1
3 0
4 1
5 6
6 6
7 5
8 7
9 0
10 2
11 6
12 27
13 4
14 11
15 16
16 15
17 68
18 30
19 23
20 47

About Leila Pakzad

Leila Pakzad is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Water Science and Technology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (25 papers), Electrical and Bioimpedance Tomography (10 papers) and Inhalation and Respiratory Drug Delivery (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (225 citations), Computational Mechanics (433 citations) and Water Science and Technology (276 citations). Leila Pakzad has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Farhad Ein‐Mozaffari, Ali Lohi, Philip K. Chan, Simant R. Upreti, Argang Kazemzadeh, Pedram Fatehi, Ehsan Behzadfar, Janusz A. Koziński, André J. van Wijnen and Zacharias E. Suntres. Their work appears in journals such as Chemical Engineering Journal, Polymer and International Journal of Pharmaceutics.

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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