H. Sajjadi

60 papers receiving 2.5k citations

Peers

H. Sajjadi
Comparison fields: 5 of 85
  • Computational Mechanics 1.4k
  • Biomedical Engineering 1.8k
  • Mechanical Engineering 1.3k
  • Renewable Energy, Sustainability and the Environment 199
  • Fluid Flow and Transfer Processes 65
Replace Amin Amiri Delouei with:
Amin Amiri Delouei Iran
Emad Hasani Malekshah Iran
Wael Al‐Kouz Jordan
Annunziata D’Orazio Italy
Pouya Barnoon Iran
Ghanbar Ali Sheikhzadeh Iran
Niaz Bahadur Khan Pakistan
Rasul Mohebbi Iran
Abbas Abbassi Iran
Seyyed Masoud Seyyedi Iran
H. Sajjadi relative to Amin Amiri Delouei Iran Amin Amiri Delouei's profile →
Citations per field
00.5×2.6×
Amin Amiri Delouei · 1×
Citations per year

Countries citing papers authored by H. Sajjadi

Since Specialization
Citations

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

Fields of papers citing papers by H. Sajjadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Sajjadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Sajjadi Line = papers co-authored together H. Sajjadi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011156
2 2018142
3 2018136
4 2012108
5 201896
6 201192
7 202082
8 201880
9 201877
10 201875
11 201971
12 201871
13 201269
14 202364
15 201962
16 201860
17 201659
18 202257
19 202157
20 202256

About H. Sajjadi

H. Sajjadi is a scholar working on Computational Mechanics, Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Mechanics of Materials, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (36 papers), Lattice Boltzmann Simulation Studies (31 papers), Fluid Dynamics and Turbulent Flows (17 papers), Heat Transfer and Optimization (15 papers), Heat Transfer Mechanisms (15 papers), Aerosol Filtration and Electrostatic Precipitation (11 papers), Composite Structure Analysis and Optimization (6 papers) and Numerical methods in engineering (4 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Biomedical Engineering (1.8k citations), Mechanical Engineering (1.3k citations), Renewable Energy, Sustainability and the Environment (199 citations) and Fluid Flow and Transfer Processes (65 citations). H. Sajjadi has collaborated with scholars based in Iran, United States and China. Frequent co-authors include Amin Amiri Delouei, Gholamreza Kefayati, Mohsen Izadi, Rasul Mohebbi, Meysam Atashafrooz, M. Gorji, D.D. Ganji, Goodarz Ahmadi, S.F. Hosseinizadeh and Sajjad Karimnejad. Their work appears in journals such as International Communications in Heat and Mass Transfer, Journal of Thermal Analysis and Calorimetry, Physica A Statistical Mechanics and its Applications, International Journal of Heat and Mass Transfer and Numerical Heat Transfer Part A Applications.

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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