Ewald Macha

55 total papers · 1.2k total citations
34 papers, 931 citations indexed

About

Ewald Macha is a scholar working on Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Ewald Macha has authored 34 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 23 papers in Mechanics of Materials and 10 papers in Civil and Structural Engineering. Recurrent topics in Ewald Macha's work include Fatigue and fracture mechanics (20 papers), Mechanical and Thermal Properties Analysis (9 papers) and Mechanical Engineering Research and Applications (7 papers). Ewald Macha is often cited by papers focused on Fatigue and fracture mechanics (20 papers), Mechanical and Thermal Properties Analysis (9 papers) and Mechanical Engineering Research and Applications (7 papers). Ewald Macha collaborates with scholars based in Poland, Italy and Israel. Ewald Macha's co-authors include Aleksander Karolczuk, Adam Niesłony, Andrea Carpinteri, Т. Łagoda, Roberto Brighenti, Andrea Spagnoli, Dariusz Rozumek, Zbigniew Marciniak, Wojciech Macek and Masao Sakane and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mechanical Systems and Signal Processing and Engineering Fracture Mechanics.

In The Last Decade

Ewald Macha

31 papers receiving 887 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ewald Macha 813 571 354 188 166 34 931
Lintao Yang 856 1.1× 562 1.0× 434 1.2× 238 1.3× 167 1.0× 26 1.2k
Adam Niesłony 731 0.9× 480 0.8× 463 1.3× 196 1.0× 223 1.3× 61 1.0k
Miguel Muñiz‐Calvente 675 0.8× 533 0.9× 303 0.9× 135 0.7× 194 1.2× 60 953
Sylvie Pommier 856 1.1× 591 1.0× 195 0.6× 305 1.6× 76 0.5× 52 1.1k
Aleksander Karolczuk 882 1.1× 787 1.4× 346 1.0× 230 1.2× 170 1.0× 70 1.1k
Yung–Li Lee 604 0.7× 599 1.0× 291 0.8× 138 0.7× 152 0.9× 42 970
Nagaraja Iyyer 594 0.7× 463 0.8× 182 0.5× 200 1.1× 131 0.8× 61 820
Nancy Frost 945 1.2× 587 1.0× 237 0.7× 416 2.2× 121 0.7× 56 1.2k
Jian‐Guo Gong 605 0.7× 681 1.2× 187 0.5× 134 0.7× 111 0.7× 44 885
A. F. Grandt 688 0.8× 400 0.7× 230 0.6× 116 0.6× 71 0.4× 52 802

Countries citing papers authored by Ewald Macha

Since Specialization
Citations

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

Fields of papers citing papers by Ewald Macha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewald Macha

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

All Works

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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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