Daniel P. Satko

569 total citations
6 papers, 432 citations indexed

About

Daniel P. Satko is a scholar working on Materials Chemistry, Mechanical Engineering and Surgery. According to data from OpenAlex, Daniel P. Satko has authored 6 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 3 papers in Mechanical Engineering and 1 paper in Surgery. Recurrent topics in Daniel P. Satko's work include Titanium Alloys Microstructure and Properties (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Machine Learning in Materials Science (2 papers). Daniel P. Satko is often cited by papers focused on Titanium Alloys Microstructure and Properties (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Machine Learning in Materials Science (2 papers). Daniel P. Satko collaborates with scholars based in United States and France. Daniel P. Satko's co-authors include Ayman A. Salem, John J. Lewandowski, Mohsen Seifi, Joshua Shaffer, S. L. Semiatin, Ulf Ackelid, S. L. Semiatin, M.G. Glavicic, Surya R. Kalidindi and Adam L. Pilchak and has published in prestigious journals such as Acta Materialia, Journal of Alloys and Compounds and Scripta Materialia.

In The Last Decade

Daniel P. Satko

6 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Satko United States 6 379 214 171 62 25 6 432
Danqing Zhang China 4 476 1.3× 82 0.4× 238 1.4× 33 0.5× 36 1.4× 11 522
Tyler London United Kingdom 8 298 0.8× 54 0.3× 156 0.9× 70 1.1× 34 1.4× 14 340
Sörn Ocylok Germany 7 420 1.1× 56 0.3× 206 1.2× 40 0.6× 21 0.8× 10 462
Olivier Dedry Belgium 9 305 0.8× 102 0.5× 74 0.4× 80 1.3× 79 3.2× 16 332
Axel Marquardt Germany 10 277 0.7× 99 0.5× 112 0.7× 31 0.5× 37 1.5× 23 300
Magnus Neikter Sweden 11 432 1.1× 176 0.8× 201 1.2× 46 0.7× 19 0.8× 24 474
Wesley A. Tayon United States 10 357 0.9× 182 0.9× 108 0.6× 74 1.2× 127 5.1× 22 407
Amir Reza Ansari Dezfoli Taiwan 11 199 0.5× 148 0.7× 86 0.5× 28 0.5× 58 2.3× 42 352
Weijian Ning China 11 340 0.9× 61 0.3× 52 0.3× 54 0.9× 56 2.2× 14 386
Anton Kidess Netherlands 7 306 0.8× 64 0.3× 95 0.6× 52 0.8× 45 1.8× 8 363

Countries citing papers authored by Daniel P. Satko

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Satko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Satko

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

All Works

6 of 6 papers shown
1.
Dasari, Sriswaroop, Mohan Sai Kiran Kumar Yadav Nartu, Abhishek Sharma, et al.. (2022). 3D printable low density B2+BCC refractory element based complex concentrated alloy with high compressive strength and plasticity. Scripta Materialia. 225. 115160–115160. 23 indexed citations
2.
Salem, Ayman A., et al.. (2017). Microstructure-Informed Cloud Computing for Interoperability of Materials Databases and Computational Models: Microtextured Regions in Ti Alloys. Integrating materials and manufacturing innovation. 6(1). 111–126. 9 indexed citations
3.
Seifi, Mohsen, Ayman A. Salem, Daniel P. Satko, et al.. (2017). Effects of HIP on microstructural heterogeneity, defect distribution and mechanical properties of additively manufactured EBM Ti-48Al-2Cr-2Nb. Journal of Alloys and Compounds. 729. 1118–1135. 109 indexed citations
4.
Satko, Daniel P., Joshua Shaffer, J. Tiley, et al.. (2016). Effect of microstructure on oxygen rich layer evolution and its impact on fatigue life during high-temperature application of α/β titanium. Acta Materialia. 107. 377–389. 60 indexed citations
5.
Seifi, Mohsen, Ayman A. Salem, Daniel P. Satko, Joshua Shaffer, & John J. Lewandowski. (2016). Defect distribution and microstructure heterogeneity effects on fracture resistance and fatigue behavior of EBM Ti–6Al–4V. International Journal of Fatigue. 94. 263–287. 214 indexed citations
6.
Salem, Ayman A., Joshua Shaffer, Daniel P. Satko, S. L. Semiatin, & Surya R. Kalidindi. (2014). Workflow for integrating mesoscale heterogeneities in materials structure with process simulation of titanium alloys. Integrating materials and manufacturing innovation. 3(1). 322–343. 17 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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2026