Manaschai Kunaseth

639 total citations
31 papers, 507 citations indexed

About

Manaschai Kunaseth is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Manaschai Kunaseth has authored 31 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 6 papers in Organic Chemistry. Recurrent topics in Manaschai Kunaseth's work include Advanced Data Storage Technologies (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Graphene research and applications (5 papers). Manaschai Kunaseth is often cited by papers focused on Advanced Data Storage Technologies (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Graphene research and applications (5 papers). Manaschai Kunaseth collaborates with scholars based in Thailand, United States and Japan. Manaschai Kunaseth's co-authors include Supawadee Namuangruk‬, Nawee Kungwan, Aiichiro Nakano, Priya Vashishta, Rajiv K. Kalia, Chompoonut Rungnim, Siriporn Jungsuttiwong, Vinich Promarak, Fuyuki Shimojo and Anchalee Junkaew and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Engineering Journal and Green Chemistry.

In The Last Decade

Manaschai Kunaseth

31 papers receiving 495 citations

Peers

Manaschai Kunaseth
Manaschai Kunaseth
Citations per year, relative to Manaschai Kunaseth Manaschai Kunaseth (= 1×) peers Toshio Yoshikawa

Countries citing papers authored by Manaschai Kunaseth

Since Specialization
Citations

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

Fields of papers citing papers by Manaschai Kunaseth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manaschai Kunaseth

This figure shows the co-authorship network connecting the top 25 collaborators of Manaschai Kunaseth. A scholar is included among the top collaborators of Manaschai Kunaseth 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 Manaschai Kunaseth. Manaschai Kunaseth 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.
Suttisintong, Khomson, Kajornsak Faungnawakij, Pongtanawat Khemthong, et al.. (2023). Mechanistic investigation of Ni and NiCu for catalytic transfer hydrogenation of methyl levulinate to γ-valerolactone: A combined experimental and DFT study. Applied Catalysis A General. 660. 119230–119230. 8 indexed citations
2.
Wongnongwa, Yutthana, et al.. (2023). DFT insights into crystal plane effects of molybdenum phosphide (MoP) on the catalytic performance in deoxygenation of palmitic acid. Catalysis Science & Technology. 14(1). 190–201. 1 indexed citations
3.
Kerdpol, Khanittha, Peter Wolschann, Seiji Mori, et al.. (2019). Cavity Closure of 2-Hydroxypropyl-β-Cyclodextrin: Replica Exchange Molecular Dynamics Simulations. Polymers. 11(1). 145–145. 27 indexed citations
4.
Suda, Masayuki, Mikio Uruichi, Manaschai Kunaseth, et al.. (2018). Development of highly soluble perylenetetracarboxylic diimide derivative for n-type monolayer field-effect-transistor. Molecular Crystals and Liquid Crystals. 669(1). 94–105. 1 indexed citations
5.
Kunaseth, Manaschai, Supa Hannongbua, & Aiichiro Nakano. (2018). Shift/collapse on neighbor list (SC-NBL): Fast evaluation of dynamic many-body potentials in molecular dynamics simulations. Computer Physics Communications. 235. 88–94. 5 indexed citations
6.
7.
Sattayanon, Chanchai, Supawadee Namuangruk‬, Nawee Kungwan, & Manaschai Kunaseth. (2017). Reaction and free-energy pathways of hydrogen activation on partially promoted metal edge of CoMoS and NiMoS: A DFT and thermodynamics study. Fuel Processing Technology. 166. 217–227. 20 indexed citations
8.
Kunaseth, Manaschai, Preeyaporn Poldorn, Jittima Meeprasert, et al.. (2016). A DFT study of volatile organic compounds adsorption on transition metal deposited graphene. Applied Surface Science. 396. 1712–1718. 49 indexed citations
9.
Rungnim, Chompoonut, Sarunya Phunpee, Manaschai Kunaseth, et al.. (2015). Co-solvation effect on the binding mode of the α-mangostin/β-cyclodextrin inclusion complex. Beilstein Journal of Organic Chemistry. 11. 2306–2317. 36 indexed citations
10.
Jungsuttiwong, Siriporn, Yutthana Wongnongwa, Supawadee Namuangruk‬, et al.. (2015). Density functional theory study of elemental mercury adsorption on boron doped graphene surface decorated by transition metals. Applied Surface Science. 362. 140–145. 18 indexed citations
11.
Meeprasert, Jittima, Anchalee Junkaew, Chompoonut Rungnim, et al.. (2015). Capability of defective graphene-supported Pd13 and Ag13 particles for mercury adsorption. Applied Surface Science. 364. 166–175. 23 indexed citations
12.
Shimojo, Fuyuki, Shinnosuke Hattori, Rajiv K. Kalia, et al.. (2014). A divide-conquer-recombine algorithmic paradigm for large spatiotemporal quantum molecular dynamics simulations. The Journal of Chemical Physics. 140(18). 18A529–18A529. 52 indexed citations
13.
Nakano, Aiichiro, Shinnosuke Hattori, Rajiv K. Kalia, et al.. (2014). Divide-Conquer-Recombine. 17–27. 3 indexed citations
14.
Kunaseth, Manaschai, David F. Richards, James N. Glosli, et al.. (2013). Analysis of scalable data-privatization threading algorithms for hybrid MPI/OpenMP parallelization of molecular dynamics. The Journal of Supercomputing. 66(1). 406–430. 11 indexed citations
15.
Kunaseth, Manaschai, Rajiv K. Kalia, Aiichiro Nakano, et al.. (2013). Performance Characteristics of Hardware Transactional Memory for Molecular Dynamics Application on BlueGene/Q: Toward Efficient Multithreading Strategies for Large-Scale Scientific Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 3. 1326–1335. 4 indexed citations
16.
Kunaseth, Manaschai, Rajiv K. Kalia, Aiichiro Nakano, Ken‐ichi Nomura, & Priya Vashishta. (2013). A scalable parallel algorithm for dynamic range-limited n -tuple computation in many-body molecular dynamics simulation. 1–12. 9 indexed citations
17.
Kunaseth, Manaschai, et al.. (2012). Scalable Data-Privatization Threading for Hybrid MPI/OpenMP Parallelization of Molecular Dynamics. 1 indexed citations
18.
Kunaseth, Manaschai, Rajiv K. Kalia, Aiichiro Nakano, & Priya Vashishta. (2010). Performance Modeling, Analysis, and Optimization of Cell-List Based Molecular Dynamics.. 315(1). 209–215. 3 indexed citations
19.
Liu, Peng, Manaschai Kunaseth, Ken‐ichi Nomura, et al.. (2009). A Scalable Hierarchical Parallelization Framework for Molecular Dynamics Simulation on Multicore Clusters.. Parallel and Distributed Processing Techniques and Applications. 97–103. 4 indexed citations
20.
Nomura, Ken‐ichi, Weiqiang Wang, Manaschai Kunaseth, et al.. (2009). In-Core Optimization of High-Order Stencil Computations.. Parallel and Distributed Processing Techniques and Applications. 533–538. 19 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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