Mohammad Akbari publications per year

The chart shows the history of publications by Mohammad Akbari between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mohammad Akbari published across 19 years, from 2007 to 2025, averaging 4.6 papers a year. Output peaked at 15 publications in 2015. 11 of the 88 publications appeared in the last two years.

No. of publications

5 10 15

2007 2025

88 publications in total across all disciplines

View publications per year as a table

Mohammad Akbari: publications per year, 2007 to 2025
Year	Publications
2007	1
2008	0
2009	0
2010	1
2011	0
2012	2
2013	5
2014	9
2015	15
2016	7
2017	2
2018	8
2019	8
2020	8
2021	7
2022	0
2023	4
2024	8
2025	3
Total	88

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Mohammad Akbari publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Mohammad Akbari sits on this spectrum.

No. of scientists

50 100 150

47–56 publications 659+

This scientist: 80 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table

Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications	Scientists	This scientist
47–56	10
57–66	23
67–76	32
77–86	62	80
87–96	67
97–106	91
107–116	113
117–126	115
127–136	130
137–146	140
147–156	155
157–166	132
167–176	133
177–186	130
187–196	140
197–206	115
207–216	125
217–226	117
227–236	99
237–246	92
247–256	100
257–266	95
267–276	88
277–286	77
287–296	74
297–306	74
307–316	62
317–326	70
327–336	59
337–346	58
347–356	45
357–366	44
367–376	36
377–386	41
387–396	32
397–406	23
407–416	28
417–426	27
427–436	25
437–446	23
447–456	23
457–466	20
467–476	12
477–486	24
487–496	18
497–506	12
507–516	13
517–526	21
527–536	12
537–546	8
547–556	16
557–566	3
567–576	11
577–586	6
587–596	5
597–606	6
607–616	7
617–626	7
627–636	10
637–646	4
647–656	3
657–658	2
659+	100

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Mohammad Akbari D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mohammad Akbari sits on this spectrum.

No. of scientists

50 100 150

30 D-Index 93+

This scientist: 39 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table

Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130
39	126	39
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100

Download as CSV

Best Publications

An experimental study on thermal conductivity of F-MWCNTs–Fe3O4/EG hybrid nanofluid: Effects of temperature and concentration

Saeed Sarbolookzadeh Harandi;Arash Karimipour;Masoud Afrand;Mohammad Akbari

378
Citations
Effects of temperature and solid volume fraction on viscosity of SiO2-MWCNTs/SAE40 hybrid nanofluid as a coolant and lubricant in heat engines

Masoud Afrand;Karim Nazari Najafabadi;Mohammad Akbari

320
Citations
Effects of temperature and particles concentration on the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluid: Experimental study

Omid Soltani;Mohammad Akbari

308
Citations
Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al 2 O 3 nanoparticles

Mohammad Hemmat Esfe;Arash Karimipour;Wei-Mon Yan;Mohammad Akbari

246
Citations
Experimental investigation of rheological behavior of the hybrid nanofluid of MWCNT–alumina/water (80%)–ethylene-glycol (20%)

Ashkan Afshari;Mohammad Akbari;Davood Toghraie;Mohammad Eftekhari Yazdi

198
Citations
Experimental and numerical investigation of temperature distribution and melt pool geometry during pulsed laser welding of Ti6Al4V alloy

Mohammad Akbari;Seyfolah Saedodin;Davood Toghraie;Reza Shoja-Razavi

196
Citations
Experimental study on thermal conductivity of DWCNT-ZnO/water-EG nanofluids ☆

Mohammad Hemmat Esfe;Wei-Mon Yan;Mohammad Akbari;Arash Karimipour

193
Citations
Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data

Mohammad Hemmat Esfe;Masoud Afrand;Wei-Mon Yan;Mohammad Akbari

192
Citations
An experimental study on rheological behavior of hybrid nanofluids made of iron and copper oxide in a binary mixture of water and ethylene glycol: Non-Newtonian behavior

Mehrdad Bahrami;Mohammad Akbari;Arash Karimipour;Masoud Afrand

180
Citations
Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH)2–EG using experimental data

Mohammad Hemmat Esfe;Masoud Afrand;Somchai Wongwises;Ali Naderi

151
Citations
Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe-CuO/Eg-Water nanofluid

Mehrdad Bahrami;Mohammad Akbari;Seyed Amin Bagherzadeh;Arash Karimipour

147
Citations
Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods

Mohammad Hemmat Esfe;Ali Naderi;Mohammad Akbari;Masoud Afrand

147
Citations
Experimental investigation of thermal conductivity of nanofluids containing of hybrid nanoparticles suspended in binary base fluids and propose a new correlation

Amir Kakavandi;Mohammad Akbari

146
Citations
Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycol

Yeping Peng;Amir Parsian;Hossein Khodadadi;Mohammad Akbari

145
Citations
Experimental investigation and development of new correlations for thermal conductivity of CuO/EG–water nanofluid☆

Mohammad Hemmat Esfe;Seyfolah Saedodin;Mohammad Akbari;Arash Karimipour

137
Citations
Mixed convection of Water-Aluminum oxide nanofluid in an inclined lid-driven cavity containing a hot elliptical centric cylinder

Bijan Karbasifar;Mohammad Akbari;Davood Toghraie

130
Citations
An experimental study on rheological behavior of a nanofluid containing oxide nanoparticle and proposing a new correlation

Amir Hussein Saeedi;Mohammad Akbari;Davood Toghraie

123
Citations
EFFECT OF NANOFLUID VARIABLE PROPERTIES ON MIXED CONVECTION FLOW AND HEAT TRANSFER IN AN INCLINED TWO-SIDED LID-DRIVEN CAVITY WITH SINUSOIDAL HEATING ON SIDEWALLS

Mohammad Hemmat Esfe;Mohammad Akbari;Davood Semiromi Toghraie;Arash Karimipour

119
Citations
An experimental study on rheological behavior of ethylene glycol based nanofluid: Proposing a new correlation as a function of silica concentration and temperature

Mohammad Akbari;Masoud Afrand;Ali Arshi;Arash Karimipour

116
Citations
Mixed-convection flow and heat transfer in an inclined cavity equipped to a hot obstacle using nanofluids considering temperature-dependent properties

Mohammad Hemmat Esfe;Mohammad Akbari;Arash Karimipour;Masoud Afrand

114
Citations

Frequent Co-Authors

Tat-Seng Chua National University of Singapore

Arash Karimipour Cihan University-Erbil

Liqiang Nie Shandong University

Masoud Afrand Islamic Azad University of Najafabad

Xia Hu Rice University

Jun Wang University College London

Pascal Bouvry University of Luxembourg

Ngai-Man Cheung Singapore University of Technology and Design

Marjan Goodarzi Lamar University

Dustin T. Duncan Columbia University

External Links

Google Scholar page

If you think any of the details on this page are incorrect, let us know.

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D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130
39	126	39
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100

D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130
39	126	39
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100

Mohammad Akbari

D-Index & Metrics

Mohammad Akbari publications per year

Mohammad Akbari publication distribution in Mechanical and Aerospace Engineering in 2026

Mohammad Akbari D-index placement in Mechanical and Aerospace Engineering in 2026

Best Publications

An experimental study on thermal conductivity of F-MWCNTs–Fe3O4/EG hybrid nanofluid: Effects of temperature and concentration

Effects of temperature and solid volume fraction on viscosity of SiO2-MWCNTs/SAE40 hybrid nanofluid as a coolant and lubricant in heat engines

Effects of temperature and particles concentration on the dynamic viscosity of MgO-MWCNT/ethylene glycol hybrid nanofluid: Experimental study

Experimental study on thermal conductivity of ethylene glycol based nanofluids containing Al 2 O 3 nanoparticles

Experimental investigation of rheological behavior of the hybrid nanofluid of MWCNT–alumina/water (80%)–ethylene-glycol (20%)

Experimental and numerical investigation of temperature distribution and melt pool geometry during pulsed laser welding of Ti6Al4V alloy

Experimental study on thermal conductivity of DWCNT-ZnO/water-EG nanofluids ☆

Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data

An experimental study on rheological behavior of hybrid nanofluids made of iron and copper oxide in a binary mixture of water and ethylene glycol: Non-Newtonian behavior

Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH)2–EG using experimental data

Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe-CuO/Eg-Water nanofluid

Evaluation of thermal conductivity of COOH-functionalized MWCNTs/water via temperature and solid volume fraction by using experimental data and ANN methods

Experimental investigation of thermal conductivity of nanofluids containing of hybrid nanoparticles suspended in binary base fluids and propose a new correlation

Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycol

Experimental investigation and development of new correlations for thermal conductivity of CuO/EG–water nanofluid☆

Mixed convection of Water-Aluminum oxide nanofluid in an inclined lid-driven cavity containing a hot elliptical centric cylinder

An experimental study on rheological behavior of a nanofluid containing oxide nanoparticle and proposing a new correlation

EFFECT OF NANOFLUID VARIABLE PROPERTIES ON MIXED CONVECTION FLOW AND HEAT TRANSFER IN AN INCLINED TWO-SIDED LID-DRIVEN CAVITY WITH SINUSOIDAL HEATING ON SIDEWALLS

An experimental study on rheological behavior of ethylene glycol based nanofluid: Proposing a new correlation as a function of silica concentration and temperature

Mixed-convection flow and heat transfer in an inclined cavity equipped to a hot obstacle using nanofluids considering temperature-dependent properties

Frequent Co-Authors

External Links

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D-Index	Scientists	This scientist
30	83
31	113
32	144
33	153
34	189
35	158
36	139
37	127
38	130
39	126	39
40	104
41	100
42	107
43	101
44	103
45	79
46	88
47	70
48	83
49	44
50	64
51	56
52	50
53	48
54	58
55	52
56	48
57	42
58	34
59	42
60	37
61	42
62	44
63	22
64	33
65	29
66	23
67	29
68	24
69	19
70	34
71	26
72	19
73	18
74	19
75	14
76	19
77	8
78	18
79	16
80	12
81	17
82	11
83	16
84	7
85	9
86	8
87	6
88	6
89	7
90	10
91	4
92	4
93+	100