B. Daniel Marjavaara

440 total citations
24 papers, 376 citations indexed

About

B. Daniel Marjavaara is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, B. Daniel Marjavaara has authored 24 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 12 papers in Computational Mechanics and 6 papers in Biomedical Engineering. Recurrent topics in B. Daniel Marjavaara's work include Iron and Steelmaking Processes (7 papers), Combustion and flame dynamics (6 papers) and Cavitation Phenomena in Pumps (4 papers). B. Daniel Marjavaara is often cited by papers focused on Iron and Steelmaking Processes (7 papers), Combustion and flame dynamics (6 papers) and Cavitation Phenomena in Pumps (4 papers). B. Daniel Marjavaara collaborates with scholars based in Sweden, Poland and Latvia. B. Daniel Marjavaara's co-authors include T. Staffan Lundström, Anna‐Lena Ljung, I. Larsson, J. Gunnar I. Hellström, Vilnis Frishfelds, Wei Shyy, Tushar Goel and Dorota Antos and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Experiments in Fluids and International Journal for Numerical Methods in Fluids.

In The Last Decade

B. Daniel Marjavaara

24 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
B. Daniel Marjavaara Sweden	12	204	186	83	75	64	24	376
Yaguo Lyu China	11	114 0.6×	260 1.4×	57 0.7×	65 0.9×	66 1.0×	41	346
R. Karvinen Finland	14	185 0.9×	303 1.6×	84 1.0×	19 0.3×	128 2.0×	49	448
Guojun Li China	12	214 1.0×	189 1.0×	92 1.1×	28 0.4×	80 1.3×	55	432
Sang-Bum Ma South Korea	13	80 0.4×	218 1.2×	145 1.7×	142 1.9×	38 0.6×	38	334
M. Davies United Kingdom	10	175 0.9×	179 1.0×	52 0.6×	123 1.6×	28 0.4×	19	340
Mohammad Mojaddam Iran	13	117 0.6×	166 0.9×	221 2.7×	43 0.6×	47 0.7×	26	326
Pierre Gajan France	13	275 1.3×	61 0.3×	113 1.4×	84 1.1×	94 1.5×	34	398
Ruey‐Hor Yen Taiwan	10	235 1.2×	127 0.7×	80 1.0×	19 0.3×	38 0.6×	20	465
Hélio Aparecido Navarro Brazil	11	173 0.8×	257 1.4×	31 0.4×	26 0.3×	63 1.0×	34	456

Countries citing papers authored by B. Daniel Marjavaara

Since Specialization

Citations

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

Fields of papers citing papers by B. Daniel Marjavaara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Daniel Marjavaara. 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 B. Daniel Marjavaara. The network helps show where B. Daniel Marjavaara may publish in the future.

Co-authorship network of co-authors of B. Daniel Marjavaara

This figure shows the co-authorship network connecting the top 25 collaborators of B. Daniel Marjavaara. A scholar is included among the top collaborators of B. Daniel Marjavaara 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 B. Daniel Marjavaara. B. Daniel Marjavaara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Larsson, I., Anna‐Lena Ljung, & B. Daniel Marjavaara. (2021). Simulation of Thermal Effects on the Flow Field in a Pilot-Scale Kiln. Mining Metallurgy & Exploration. 38(3). 1487–1495. 1 indexed citations

Larsson, I., et al.. (2020). Experimental study of confined coaxial jets in a non-axisymmetric co-flow. Experiments in Fluids. 61(12). 17 indexed citations

Larsson, I., et al.. (2018). The Effect of Reynolds Number on Jet in Asymmetric Co-Flows: A CFD Study. International Journal of Chemical Engineering. 2018. 1–11. 7 indexed citations

Larsson, I., B. Daniel Marjavaara, & T. Staffan Lundström. (2016). Simulation of the flow field in an iron ore pelletizing kiln. 33(3). 144–148. 7 indexed citations

Larsson, I., et al.. (2016). CFD Simulation of Jet Mixing With Asymmetric Co-Flows in a Down-Scaled Rotary Kiln Model. 4 indexed citations

Antos, Dorota, et al.. (2016). A validated CFD model for prediction of selective non-catalytic reduction of nitric oxide by cyanuric acid. Progress in Computational Fluid Dynamics An International Journal. 16(2). 108–108. 1 indexed citations

Frishfelds, Vilnis, et al.. (2016). Discrete and continuous modelling of convective heat transport in a thin porous layer of mono sized spheres. Heat and Mass Transfer. 53(1). 151–160. 3 indexed citations

Larsson, I., T. Staffan Lundström, & B. Daniel Marjavaara. (2015). The Flow Field in a Virtual Model of a Rotary Kiln as a Function of Inlet Geometry and Momentum Flux Ratio. Journal of Fluids Engineering. 137(10). 9 indexed citations

Antos, Dorota, et al.. (2015). A CFD-based evaluation of selective non-catalytic reduction of nitric oxide in iron ore grate-kiln plants. Progress in Computational Fluid Dynamics An International Journal. 15(1). 32–32. 8 indexed citations

10.

Ljung, Anna‐Lena, Vilnis Frishfelds, T. Staffan Lundström, & B. Daniel Marjavaara. (2012). Discrete and Continuous Modeling of Heat and Mass Transport in Drying of a Bed of Iron Ore Pellets. Drying Technology. 30(7). 760–773. 40 indexed citations

11.

Ljung, Anna‐Lena, et al.. (2011). Convective drying of an individual iron ore pellet – Analysis with CFD. International Journal of Heat and Mass Transfer. 54(17-18). 3882–3890. 44 indexed citations

12.

Ljung, Anna‐Lena, et al.. (2011). Influence of Air Humidity on Drying of Individual Iron Ore Pellets. Drying Technology. 29(9). 1101–1111. 21 indexed citations

13.

Lundström, T. Staffan, et al.. (2010). CFD-modelling of Selective Non-Catalytic Reduction of NO<SUB align=right>x in grate-kiln plants. Progress in Computational Fluid Dynamics An International Journal. 10(5/6). 284–284. 19 indexed citations

14.

Marjavaara, B. Daniel, et al.. (2009). Compression moulding simulations of SMC using a multiobjective surrogate-based inverse modeling approach. Mechanics of Composite Materials. 45(5). 503–514. 8 indexed citations

15.

Lundström, T. Staffan, et al.. (2009). CFD-modelling of selective non-catalytic reduction of NOx in grate-kiln plants. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–6. 1 indexed citations

16.

Marjavaara, B. Daniel, et al.. (2007). Hydraulic Turbine Diffuser Shape Optimization by Multiple Surrogate Model Approximations of Pareto Fronts. Journal of Fluids Engineering. 129(9). 1228–1240. 49 indexed citations

17.

Hellström, J. Gunnar I., B. Daniel Marjavaara, & T. Staffan Lundström. (2006). Parallel CFD simulations of an original and redesigned hydraulic turbine draft tube. Advances in Engineering Software. 38(5). 338–344. 41 indexed citations

18.

Marjavaara, B. Daniel & T. Staffan Lundström. (2005). Redesign of a sharp heel draft tube by a validated CFD-optimization. International Journal for Numerical Methods in Fluids. 50(8). 911–924. 28 indexed citations

19.

Marjavaara, B. Daniel, et al.. (2003). Automatic Shape Optimisation of a Hydropower Draft Tube. 1819–1824. 5 indexed citations

20.

Marjavaara, B. Daniel, et al.. (2002). Automatic Design of Hydropower Flows: The Draft Tube. 299–307. 2 indexed citations

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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