Yasa Sampurno

872 total citations
90 papers, 707 citations indexed

About

Yasa Sampurno is a scholar working on Biomedical Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Yasa Sampurno has authored 90 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Biomedical Engineering, 67 papers in Mechanical Engineering and 35 papers in Materials Chemistry. Recurrent topics in Yasa Sampurno's work include Advanced Surface Polishing Techniques (88 papers), Advanced machining processes and optimization (58 papers) and Diamond and Carbon-based Materials Research (31 papers). Yasa Sampurno is often cited by papers focused on Advanced Surface Polishing Techniques (88 papers), Advanced machining processes and optimization (58 papers) and Diamond and Carbon-based Materials Research (31 papers). Yasa Sampurno collaborates with scholars based in United States, Japan and United Kingdom. Yasa Sampurno's co-authors include Ara Philipossian, Yun Zhuang, L. Borucki, Yan Mu, Xiaomin Wei, Xiaoyan Liao, Yubo Jiao, Hiroyuki Morishima, Duane S. Boning and Michael Goldstein and has published in prestigious journals such as Journal of The Electrochemical Society, Thin Solid Films and Japanese Journal of Applied Physics.

In The Last Decade

Yasa Sampurno

88 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasa Sampurno United States 16 656 454 341 182 153 90 707
Yun Zhuang United States 16 579 0.9× 381 0.8× 277 0.8× 151 0.8× 159 1.0× 59 619
Dongming Guo China 11 310 0.5× 199 0.4× 156 0.5× 193 1.1× 41 0.3× 28 464
Ed Paul United States 7 460 0.7× 346 0.8× 228 0.7× 137 0.8× 107 0.7× 12 525
Guoshun Pan China 10 427 0.7× 133 0.3× 311 0.9× 151 0.8× 57 0.4× 15 483
R. Vargas Canada 8 241 0.4× 447 1.0× 119 0.3× 329 1.8× 106 0.7× 8 575
Byung-Kwon Min South Korea 16 468 0.7× 342 0.8× 142 0.4× 514 2.8× 16 0.1× 38 698
Liang Chi Zhang Australia 10 224 0.3× 227 0.5× 156 0.5× 128 0.7× 112 0.7× 69 414
Wantang Wang China 9 287 0.4× 111 0.2× 216 0.6× 151 0.8× 36 0.2× 12 385

Countries citing papers authored by Yasa Sampurno

Since Specialization
Citations

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

Fields of papers citing papers by Yasa Sampurno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasa Sampurno

This figure shows the co-authorship network connecting the top 25 collaborators of Yasa Sampurno. A scholar is included among the top collaborators of Yasa Sampurno 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 Yasa Sampurno. Yasa Sampurno 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.
Philipossian, Ara, et al.. (2023). Slurry Activation for Enhanced Surface Redox Reactions in CMP. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 346. 311–317. 2 indexed citations
2.
Borucki, L., Yasa Sampurno, & Ara Philipossian. (2023). The Shear Force Law: A Guide to Modeling CMP Removal Rates. ECS Journal of Solid State Science and Technology. 12(4). 44003–44003. 3 indexed citations
3.
Sampurno, Yasa, et al.. (2021). Communication—An Analysis of Shear Forces in Post-CMP PVA Brush Scrubbing for Stationary and Rotating Wafers. ECS Journal of Solid State Science and Technology. 10(3). 34002–34002. 4 indexed citations
4.
Sampurno, Yasa, et al.. (2021). Understanding the Reasons Behind Defect Levels in Post-Copper-CMP Cleaning Processes with Different Chemistries and PVA Brushes. ECS Journal of Solid State Science and Technology. 10(6). 64011–64011. 3 indexed citations
5.
Philipossian, Ara, et al.. (2021). Tribological Characterization of Anionic Supramolecular Assemblies in Post-STI-CMP Cleaning Solution Using a Novel Post-CMP PVA Brush Scrubber. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 314. 264–269. 1 indexed citations
6.
Sampurno, Yasa, et al.. (2020). Striking a balance: Role of supramolecular assemblies on the modulation of the chemical and mechanical contributions during Post-STI CMP cleaning. Materials Chemistry and Physics. 259. 124170–124170. 8 indexed citations
7.
Sampurno, Yasa, et al.. (2020). Effect of Various CVD-Coated Conditioning Disc Designs and Polisher Kinematics on Fluid Flow Characteristics during CMP. ECS Journal of Solid State Science and Technology. 9(2). 24005–24005. 1 indexed citations
8.
Sampurno, Yasa, et al.. (2018). Communication—Tribology of Retaining Rings in Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 7(5). P266–P268. 4 indexed citations
9.
Sampurno, Yasa, et al.. (2018). Effect of Retaining Ring Slot Designs, Conditioning Discs and Conditioning Schemes on the Slurry Bow Wave Width during Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 7(5). P253–P259. 7 indexed citations
10.
Sampurno, Yasa, et al.. (2018). Insights into the Tribological and Kinetic Attributes of Retaining Rings in Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 7(9). P447–P451. 4 indexed citations
11.
Sampurno, Yasa, et al.. (2018). Visualizing Slurry Flow in Chemical Mechanical Planarization via High-Speed Videography. ECS Journal of Solid State Science and Technology. 7(3). P118–P124. 3 indexed citations
12.
Sampurno, Yasa, et al.. (2018). Application of a Slurry Injection System to Cobalt “Buff Step” Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 7(4). P170–P174. 5 indexed citations
13.
Sampurno, Yasa, et al.. (2018). Real-Time Shear and Normal Force Trends in Copper Chemical Mechanical Planarization with Different Conditioning Discs. ECS Journal of Solid State Science and Technology. 7(3). P125–P131. 5 indexed citations
14.
Sampurno, Yasa, et al.. (2018). Inferences of Slurry Bow Wave Width from Mean Coefficient of Friction and Directivity in Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 8(5). P3018–P3021. 6 indexed citations
15.
Sampurno, Yasa, et al.. (2018). Cobalt “Buff Step” Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 7(3). P114–P117. 5 indexed citations
16.
17.
Sampurno, Yasa, et al.. (2016). Method for Ultra Rapid Determination of the Lubrication Mechanism in Chemical Mechanical Planarization. ECS Journal of Solid State Science and Technology. 6(1). P32–P37. 20 indexed citations
18.
Wei, Xiaomin, et al.. (2015). Method for accelerated diamond fracture characterization in chemical mechanical planarization. Microelectronic Engineering. 149. 37–40. 3 indexed citations
19.
Borucki, L., et al.. (2013). (Invited) Performance Analysis of a Novel Slurry Injection System for Oxide Chemical Mechanical Planarization. ECS Transactions. 52(1). 591–596. 1 indexed citations
20.
Wei, Xiaomin, et al.. (2010). Effect of Retaining Ring Slot Design on Slurry Film Thickness during CMP. Electrochemical and Solid-State Letters. 13(4). H119–H119. 10 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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