G. Kugler

970 total citations
47 papers, 789 citations indexed

About

G. Kugler is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, G. Kugler has authored 47 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanical Engineering, 29 papers in Materials Chemistry and 25 papers in Mechanics of Materials. Recurrent topics in G. Kugler's work include Metal Alloys Wear and Properties (23 papers), Metallurgy and Material Forming (17 papers) and Microstructure and Mechanical Properties of Steels (17 papers). G. Kugler is often cited by papers focused on Metal Alloys Wear and Properties (23 papers), Metallurgy and Material Forming (17 papers) and Microstructure and Mechanical Properties of Steels (17 papers). G. Kugler collaborates with scholars based in Slovenia, United Kingdom and Germany. G. Kugler's co-authors include R. Turk, Milan Terčelj, David Bombač, Peter Fajfar, Iztok Peruš, Matjaž Godec, A. Saha Podder, Heinz Palkowski, Boštjan Markoli and Irena Paulin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Construction and Building Materials.

In The Last Decade

G. Kugler

47 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Kugler Slovenia 15 577 571 504 170 30 47 789
Leonardo Pelcastre Sweden 16 534 0.9× 327 0.6× 436 0.9× 62 0.4× 27 0.9× 42 661
Ji Hoon Kim South Korea 16 706 1.2× 291 0.5× 452 0.9× 110 0.6× 48 1.6× 39 791
S. Rahimi United Kingdom 17 595 1.0× 334 0.6× 272 0.5× 124 0.7× 30 1.0× 63 761
Gilles Dour France 16 540 0.9× 213 0.4× 243 0.5× 291 1.7× 32 1.1× 37 676
G. Mrówka-Nowotnik Poland 11 538 0.9× 233 0.4× 176 0.3× 395 2.3× 30 1.0× 48 615
Shahin Khoddam Australia 18 734 1.3× 532 0.9× 460 0.9× 98 0.6× 31 1.0× 73 871
C. Levaillant France 13 677 1.2× 449 0.8× 409 0.8× 130 0.8× 32 1.1× 29 778
Yun Wu China 17 552 1.0× 283 0.5× 221 0.4× 288 1.7× 70 2.3× 43 704
Kaiyu Luo China 23 1.1k 1.9× 322 0.6× 221 0.4× 304 1.8× 28 0.9× 47 1.2k

Countries citing papers authored by G. Kugler

Since Specialization
Citations

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

Fields of papers citing papers by G. Kugler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kugler

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kugler. A scholar is included among the top collaborators of G. Kugler 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 G. Kugler. G. Kugler 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.
Terčelj, Milan, Jaka Burja, G. Kugler, & Primož Mrvar. (2023). Thermal fatigue degradation progress in SiMo ductile cast iron under oxidation conditions. Engineering Failure Analysis. 156. 107823–107823. 2 indexed citations
2.
Kugler, G., et al.. (2020). Enabling simulations of grains within a full rotation range in amplitude expansion of the phase-field crystal model. Physical review. E. 101(4). 43309–43309. 2 indexed citations
3.
Bombač, David, et al.. (2020). In-Depth Comparison of an Industrially Extruded Powder and Ingot Al Alloys. Metals. 10(11). 1483–1483. 2 indexed citations
4.
Bombač, David, et al.. (2020). Mechanisms of Oxidation Degradation of Cr12 Roller Steel during Thermal Fatigue Tests. Metals. 10(4). 450–450. 6 indexed citations
5.
Fajfar, Peter, et al.. (2019). A NiTi alloy weft knitted fabric for smart firefighting clothing. Smart Materials and Structures. 28(6). 65014–65014. 23 indexed citations
6.
Bombač, David, et al.. (2018). Thermal fatigue behaviour of Fe-1.7C-11.3Cr-1.9Ni-1.2Mo roller steel in temperature range 500–700 °C. International Journal of Fatigue. 121. 98–111. 11 indexed citations
7.
Bombač, David, G. Kugler, Boštjan Markoli, & Milan Terčelj. (2017). Hot work roller surface layer degradation progress during thermal fatigue in the temperature range 500–700 °C. International Journal of Fatigue. 104. 355–365. 18 indexed citations
8.
Terčelj, Milan, Peter Fajfar, Matjaž Godec, & G. Kugler. (2017). Characteristics of the thermal fatigue resistance for 3.1C, 0.8Si, 0.9Mn, 1.7Cr, 4.5Ni and 0.3Mo ICDP cast iron roll at 600 °C. Materiali in tehnologije. 51(3). 515–521. 5 indexed citations
9.
Terčelj, Milan, et al.. (2014). Increasing of Service Times of Nitrided and CrN Coated Dies for Al Hot Extrusion. Procedia Engineering. 81. 1952–1957. 4 indexed citations
10.
Terčelj, Milan, et al.. (2013). Influence of the chemical composition and process parameters on the mechanical properties of an extruded aluminium alloy for highly loaded structural parts. Construction and Building Materials. 44. 781–791. 13 indexed citations
11.
Kugler, G., et al.. (2013). The behaviour of the carbides of ledeburitic AISI D2 tool steel during multiple hot deformation cycles. Materials Characterization. 83. 97–108. 53 indexed citations
12.
Kugler, G., et al.. (2012). Development of New Testing Procedure for Physical Simulation of the Continuous‐Casting Process for Steels. steel research international. 83(12). 1221–1228. 2 indexed citations
13.
Peruš, Iztok, Milan Terčelj, & G. Kugler. (2011). Determination of scrap/supply probability curves for the mechanical properties of aluminium alloys in hot extrusion using a neural network-like approach. Expert Systems with Applications. 39(5). 5634–5640. 7 indexed citations
14.
Peruš, Iztok, et al.. (2010). On the influence of human factor on mechanical properties in aluminium hot extrusion process. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Kugler, G., et al.. (2010). Analysis of the main types of damage on a pair of industrial dies for hot forging car steering mechanisms. Engineering Failure Analysis. 18(4). 1143–1152. 58 indexed citations
16.
Turk, R., Iztok Peruš, Marina Bubalo Kovačić, G. Kugler, & Milan Terčelj. (2008). Genetic programming and cae neural networks approach for prediction of the bending capability of ZnTiCu sheets. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Peruš, Iztok, et al.. (2008). Hot forming of AISI A2 tool steel. SHILAP Revista de lepidopterología. 5 indexed citations
18.
Kugler, G., et al.. (2005). Wear Beahaviour of Nitrided Microstructures of AlSl H13 Dies for Hot Extrusion of Aluminium. SHILAP Revista de lepidopterología. 19 indexed citations
19.
Kugler, G., et al.. (2004). Estimation of Activation Energy for Calculating the Hot Workability Properties of Metals. Metalurgija. 43(4). 267–272. 10 indexed citations
20.
Turk, R., et al.. (2004). Improved Method For Better TemperatureAssessment In The Contact Of Die Bearing SurfaceWith Profile Surface In Aluminium Hot Extrusion. WIT transactions on engineering sciences. 46. 1 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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