M. Pohlak

988 citations
39 papers · 794 · h-index 16

Impact in

Papers in

M. Pohlak

36 papers receiving 749 citations

Peers

M. Pohlak
Comparison fields: 5 of 65
  • Modeling and Simulation 313
  • Numerical Analysis 246
  • Mechanics of Materials 314
  • Statistical and Nonlinear Physics 108
  • Applied Mathematics 70
Replace Mikael Enelund with:
Mikael Enelund Sweden
Kamal Pal India
Ehsan Mohseni United Kingdom
Thierry Poinot France
Fengxin Sun China
A. D. Kraus United States
Ming‐Hsiang Shih Taiwan
K. Subbaraj Canada
Xiaohui Liu China
M. Pohlak relative to Mikael Enelund Sweden Mikael Enelund's profile →
Citations per field
00.5×1.5×2.1×
Mikael Enelund · 1×
Citations per year

Countries citing papers authored by M. Pohlak

Since Specialization
Citations

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

Fields of papers citing papers by M. Pohlak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside M. Pohlak, 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 M. Pohlak Line = papers co-authored together M. Pohlak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 201887
3 201581
4 200954
5 200951
6 201244
7 202041
8 200931
9 201626
10 201925
11 201224
12 200519
13 200719
14 201617
15 200717
16 201015
17 201015
18 200914
19 20188
20 20217

About M. Pohlak

M. Pohlak is a scholar working on Mechanics of Materials, Mechanical Engineering, Industrial and Manufacturing Engineering, Modeling and Simulation and Automotive Engineering, having authored 39 papers that have together received 794 indexed citations. Recurring topics across this work include Metallurgy and Material Forming (8 papers), Metal Forming Simulation Techniques (8 papers), Fractional Differential Equations Solutions (7 papers), Manufacturing Process and Optimization (7 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Composite Structure Analysis and Optimization (6 papers), Numerical methods in engineering (5 papers) and Laser and Thermal Forming Techniques (5 papers). The work is most often cited by research in Modeling and Simulation (313 citations), Numerical Analysis (246 citations), Mechanics of Materials (314 citations), Statistical and Nonlinear Physics (108 citations) and Applied Mathematics (70 citations). M. Pohlak has collaborated with scholars based in Estonia, Germany and France. Frequent co-authors include Jüri Majak, Martin Eerme, B.S. Shvartsman, Kristo Karjust, Jarek Kurnitski, Andres Krumme, David Bassir, Mart Saarna, Jaan Kers and Kashif Mahmood. Their work appears in journals such as Composite Structures, Wear, International Journal of Material Forming, Composites Part B Engineering and Applied Mathematics and Computation.

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.

Explore authors with similar magnitude of impact