Seppo Palosaari

528 total citations
26 papers, 401 citations indexed

About

Seppo Palosaari is a scholar working on Water Science and Technology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Seppo Palosaari has authored 26 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 9 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Seppo Palosaari's work include Crystallization and Solubility Studies (9 papers), Minerals Flotation and Separation Techniques (8 papers) and Fluid Dynamics and Mixing (5 papers). Seppo Palosaari is often cited by papers focused on Crystallization and Solubility Studies (9 papers), Minerals Flotation and Separation Techniques (8 papers) and Fluid Dynamics and Mixing (5 papers). Seppo Palosaari collaborates with scholars based in Finland, Japan and China. Seppo Palosaari's co-authors include Abhay B. Bulsari, Marjatta Louhi‐Kultanen, Pekka Oinas, Matti Leisola, H. Niemi, Kalevi Visuri, Kohei Ogawa, N.O. Lemcoff, Zuoliang Sha and Sha Zhao and has published in prestigious journals such as Nature Biotechnology, Chemical Engineering Journal and Journal of Membrane Science.

In The Last Decade

Seppo Palosaari

26 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seppo Palosaari Finland 11 151 143 126 70 65 26 401
Naim M. Faqir Jordan 15 234 1.5× 210 1.5× 108 0.9× 72 1.0× 79 1.2× 27 516
Xavier Joulia France 13 164 1.1× 57 0.4× 98 0.8× 75 1.1× 39 0.6× 33 397
Jean‐Marc Schweitzer France 15 401 2.7× 109 0.8× 146 1.2× 279 4.0× 98 1.5× 31 660
Sean K. Bermingham Netherlands 11 58 0.4× 49 0.3× 143 1.1× 98 1.4× 119 1.8× 14 411
V. Vacek Czechia 10 427 2.8× 189 1.3× 85 0.7× 200 2.9× 76 1.2× 30 648
Christian Drumm Germany 10 297 2.0× 209 1.5× 72 0.6× 65 0.9× 241 3.7× 14 499
Alena Kukuková Canada 7 218 1.4× 58 0.4× 35 0.3× 91 1.3× 134 2.1× 7 343
P. Stonestreet United Kingdom 13 525 3.5× 166 1.2× 138 1.1× 232 3.3× 195 3.0× 20 815
J. de Graauw Netherlands 14 274 1.8× 84 0.6× 73 0.6× 225 3.2× 104 1.6× 33 708

Countries citing papers authored by Seppo Palosaari

Since Specialization
Citations

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

Fields of papers citing papers by Seppo Palosaari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seppo Palosaari

This figure shows the co-authorship network connecting the top 25 collaborators of Seppo Palosaari. A scholar is included among the top collaborators of Seppo Palosaari 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 Seppo Palosaari. Seppo Palosaari 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
1.
Zhao, Sha, Pekka Oinas, Marjatta Louhi‐Kultanen, Guolin Yang, & Seppo Palosaari. (2001). Application of CFD simulation to suspension crystallization—factors affecting size-dependent classification. Powder Technology. 121(1). 20–25. 18 indexed citations
2.
Louhi‐Kultanen, Marjatta, et al.. (2001). Neural network simulation for non-MSMPR crystallization. Chemical Engineering Journal. 81(1-3). 101–107. 5 indexed citations
3.
Louhi‐Kultanen, Marjatta, J. Kallas, Jouni Partanen, et al.. (2001). The influence of multicomponent diffusion on crystal growth in electrolyte solutions. Chemical Engineering Science. 56(11). 3505–3515. 9 indexed citations
4.
Palosaari, Seppo, et al.. (2001). CFD Simulation of Solid Suspension in a Stirred Tank.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 34(5). 621–626. 35 indexed citations
5.
Louhi‐Kultanen, Marjatta, et al.. (1999). Purification by crystallization from solutions of various viscosities. Journal of Crystal Growth. 198-199. 692–696. 10 indexed citations
6.
Matsumoto, Hideyuki, et al.. (1999). Neural Network Modeling of Serum Protein Fractionation Using Gel Filtration Chromatography.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 32(1). 1–7. 1 indexed citations
7.
Sato, Atsuko, et al.. (1999). Neural Networks for Chemical Engineering Unit Operations. Chemical Engineering & Technology. 22(9). 732–732. 8 indexed citations
8.
Lemcoff, N.O., et al.. (1998). Use of Neural Networks in the Simulation and Optimization of Pressure Swing Adsorption Processes. Chemical Engineering & Technology. 21(7). 593–597. 23 indexed citations
9.
Louhi‐Kultanen, Marjatta, et al.. (1998). The Effect of Mixedness on Crystal Size Distribution in a Continuous Crystallizer.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 31(1). 55–60. 5 indexed citations
10.
Лаари, Арто, Juha Kallas, & Seppo Palosaari. (1997). Gas‐liquid mass transfer in bubble columns with a T‐junction nozzle for gas dispersion. Chemical Engineering & Technology. 20(8). 550–556. 12 indexed citations
11.
Sha, Zuoliang, et al.. (1997). The effect of the viscosity of the solution on purity in the crystals. 67–69. 1 indexed citations
12.
Sha, Zuoliang, Henry Hatakka, Marjatta Louhi‐Kultanen, & Seppo Palosaari. (1996). Crystallization kinetics of potassium sulfate in an MSMPR stirred crystallizer. Journal of Crystal Growth. 166(1-4). 1105–1110. 14 indexed citations
13.
Bulsari, Abhay B., et al.. (1995). Simulation of membrane separation by neural networks. Journal of Membrane Science. 102. 185–191. 82 indexed citations
14.
Palosaari, Seppo, et al.. (1994). Flowsheet simulation of ultrafiltration and reverse osmosis processes. Journal of Membrane Science. 91(1-2). 111–124. 13 indexed citations
15.
Palosaari, Seppo, et al.. (1994). Reliable numerical calculation of the breakthrough curve of an adsorption column. Chemical Engineering and Processing - Process Intensification. 33(3). 117–123. 4 indexed citations
16.
Bulsari, Abhay B. & Seppo Palosaari. (1993). Application of neural networks for system identification of an adsorption column. Neural Computing and Applications. 1(2). 160–165. 20 indexed citations
17.
Palosaari, Seppo, et al.. (1993). Calculation of permeate flux and rejection in simulation of ultrafiltration and reverse osmosis processes. Journal of Membrane Science. 84(1-2). 123–137. 26 indexed citations
18.
Visuri, Kalevi, et al.. (1990). A New Method for Protein Crystallization Using High Pressure. Nature Biotechnology. 8(6). 547–549. 61 indexed citations
19.
Shirai, Yasuyuki, et al.. (1990). Comments on the prediction of ice crystal size distribution in a continuous crystallizer. Chemical Engineering Science. 45(4). 1147–1148. 1 indexed citations
20.
Palosaari, Seppo, et al.. (1988). A mathematical model for purification of a crystal layer by the temperature gradient method.. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 21(3). 311–315. 7 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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