Т. Łagoda

2.1k citations
140 papers · 1.7k · h-index 24

Impact in

Papers in

Т. Łagoda

128 papers receiving 1.7k citations

Peers

Т. Łagoda
Comparison fields: 5 of 52
  • Mechanics of Materials 1.5k
  • Statistics, Probability and Uncertainty 245
  • Civil and Structural Engineering 649
  • Mechanical Engineering 1.0k
  • Metals and Alloys 38
Replace De‐Guang Shang with:
De‐Guang Shang China
Ayhan Ince Canada
Madhar Haddad United Arab Emirates
R. Craig McClung United States
Michael Vormwald Germany
L. Molent Australia
A. Amrouche France
Daniel Kujawski United States
Simon Barter Australia
Xue‐Ren Wu China
Т. Łagoda relative to De‐Guang Shang China De‐Guang Shang's profile →
Citations per field
00.5×3.0×
De‐Guang Shang · 1×
Citations per year

Countries citing papers authored by Т. Łagoda

Since Specialization
Citations

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

Fields of papers citing papers by Т. Łagoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Т. Łagoda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Т. Łagoda Line = papers co-authored together Т. Łagoda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999112
2 200577
3 200169
4 199965
5 200564
6 201354
7 201446
8 201143
9 201542
10 200141
11 200140
12 202140
13 199433
14 201633
15 201432
16 201730
17 201530
18 201430
19 199129
20 201828

About Т. Łagoda

Т. Łagoda is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Materials Chemistry and Statistics, Probability and Uncertainty, having authored 140 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (111 papers), Material Properties and Failure Mechanisms (40 papers), Mechanical and Thermal Properties Analysis (38 papers), Structural Engineering and Materials Analysis (25 papers), Fire effects on concrete materials (18 papers), Structural Load-Bearing Analysis (14 papers), Engineering Diagnostics and Reliability (13 papers) and Mechanical Behavior of Composites (11 papers). The work is most often cited by research in Mechanics of Materials (1.5k citations), Statistics, Probability and Uncertainty (245 citations), Civil and Structural Engineering (649 citations), Mechanical Engineering (1.0k citations) and Metals and Alloys (38 citations). Т. Łagoda has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Marta Kurek, Krzysztof Kluger, E. Macha, Adam Niesłony, Ewald Macha, Andrzej Kurek, Aleksander Karolczuk, Grzegorz Robak, Sabrina Vantadori and Wojciech Macek. Their work appears in journals such as International Journal of Fatigue, Fatigue & Fracture of Engineering Materials & Structures, Materials, Theoretical and Applied Fracture Mechanics and Engineering Failure Analysis.

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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