M. Gholinia

2.4k citations
50 papers · 2.0k · h-index 25

Impact in

Papers in

M. Gholinia

50 papers receiving 2.0k citations

Peers

M. Gholinia
Comparison fields: 5 of 57
  • Computational Mechanics 970
  • Mechanical Engineering 1.5k
  • Biomedical Engineering 1.6k
  • Fluid Flow and Transfer Processes 136
  • Renewable Energy, Sustainability and the Environment 340
Replace Dipak Kumar Mandal with:
Dipak Kumar Mandal India
Seyyed Masoud Seyyedi Iran
Ramin Mashayekhi Iran
Pouya Barnoon Iran
Emad Hasani Malekshah Iran
Tahar Tayebi Algeria
Maziar Dehghan Iran
Abbas Abbassi Iran
Muneer A. Ismael Iraq
Ahmad Hajjar Iran
M. Gholinia relative to Dipak Kumar Mandal India Dipak Kumar Mandal's profile →
Citations per field
00.5×10×15×22.4×
Dipak Kumar Mandal · 1×
Citations per year

Countries citing papers authored by M. Gholinia

Since Specialization
Citations

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

Fields of papers citing papers by M. Gholinia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside M. Gholinia, 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 M. Gholinia Line = papers co-authored together M. Gholinia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018175
2 2019154
3 2018135
4 2018117
5 2018116
6 2019111
7 2020111
8 201989
9 201980
10 201957
11 202257
12 202256
13 202253
14 201846
15 202344
16 202244
17 202243
18 202140
19 202139
20 202137

About M. Gholinia

M. Gholinia is a scholar working on Mechanical Engineering, Biomedical Engineering, Computational Mechanics, Renewable Energy, Sustainability and the Environment and Fluid Flow and Transfer Processes, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (33 papers), Heat Transfer Mechanisms (21 papers), Heat Transfer and Optimization (17 papers), Solar Thermal and Photovoltaic Systems (13 papers), Fluid Dynamics and Turbulent Flows (9 papers), Phase Change Materials Research (8 papers), Heat transfer and supercritical fluids (4 papers) and Lattice Boltzmann Simulation Studies (4 papers). The work is most often cited by research in Computational Mechanics (970 citations), Mechanical Engineering (1.5k citations), Biomedical Engineering (1.6k citations), Fluid Flow and Transfer Processes (136 citations) and Renewable Energy, Sustainability and the Environment (340 citations). M. Gholinia has collaborated with scholars based in Iran, United States and Australia. Frequent co-authors include D.D. Ganji, Kh. Hosseinzadeh, S.S. Ghadikolaei, Mohsen Pourfallah, Mahbod Armin, A.A. Ranjbar, Davood Domiri Ganji, Ali Ranjbar, M. Javidan and Farhad Afsharpanah. Their work appears in journals such as Case Studies in Thermal Engineering, International Journal of Thermofluids, Energy Reports, Thermal Science and Engineering Progress and Theoretical and Applied Mechanics Letters.

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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