Milan Terčelj
Impact in
- Mechanics of Materials top 5%
- Metal and Thin Film Mechanics
- Metallurgy and Material Forming
- Mechanical Engineering top 5%
- Microstructure and Mechanical Properties of Steels
- Advanced materials and composites
- Aluminum Alloys Composites Properties
- High Entropy Alloys Studies
Papers in
-
- Metallurgy and Material Forming 17
- Metal and Thin Film Mechanics 14
- Tribology and Wear Analysis 4
-
- Microstructure and Mechanical Properties of Steels 13
- Aluminum Alloys Composites Properties 12
- Advanced materials and composites 5
Milan Terčelj
48 papers receiving 576 citations
Peers
Comparison fields: 5 of 34
- Mechanics of Materials 393
- Mechanical Engineering 486
- Materials Chemistry 420
- Ceramics and Composites 26
- Metals and Alloys 9
Countries citing papers authored by Milan Terčelj
This map shows the geographic impact of Milan Terčelj'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 Milan Terčelj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Terčelj more than expected).
Fields of papers citing papers by Milan Terčelj
This network shows the impact of papers produced by Milan Terčelj. 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 Milan Terčelj. The network helps show where Milan Terčelj may publish in the future.
Co-authors
The 20 scholars most cited alongside Milan Terčelj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 6 | |
| 7 | 2017 | 18 | |
| 8 | 2017 | 5 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 17 | |
| 11 | 2013 | 13 | |
| 12 | 2013 | 53 | |
| 13 | 2011 | 7 | |
| 14 | 2010 | 58 | |
| 15 | Genetic programming and cae neural networks approach for prediction of the bending capability of ZnTiCu sheets | 2008 | 2 |
| 16 | Hot forming of AISI A2 tool steel | 2008 | 5 |
| 17 | 2006 | 7 | |
| 18 | Wear Beahaviour of Nitrided Microstructures of AlSl H13 Dies for Hot Extrusion of Aluminium | 2005 | 19 |
| 19 | Predicting of tool wear for hot metal forging - an overview and suggested new approach | 2003 | 1 |
| 20 | 2002 | 54 |
About Milan Terčelj
Milan Terčelj is a scholar working on Mechanics of Materials, Mechanical Engineering, Metals and Alloys, Materials Chemistry and Ceramics and Composites, having authored 49 papers that have together received 610 indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (29 papers), Metallurgy and Material Forming (17 papers), Metal and Thin Film Mechanics (14 papers), Microstructure and Mechanical Properties of Steels (13 papers), Aluminum Alloys Composites Properties (12 papers), Aluminum Alloy Microstructure Properties (6 papers), Advanced materials and composites (5 papers) and Tribology and Wear Analysis (4 papers). The work is most often cited by research in Mechanics of Materials (393 citations), Mechanical Engineering (486 citations), Materials Chemistry (420 citations), Ceramics and Composites (26 citations) and Metals and Alloys (9 citations). Milan Terčelj has collaborated with scholars based in Slovenia, United Kingdom and Lithuania. Frequent co-authors include G. Kugler, R. Turk, Iztok Peruš, Peter Fajfar, David Bombač, P. Panjan, Matjaž Godec, B. Navinšek, Miha Čekada and Vojteh Leskovšek. Their work appears in journals such as Engineering Failure Analysis, Metals, Materials Characterization, Metallurgical and Materials Transactions A and Tribology International.
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.