Sabine Leischner

60 total papers · 681 total citations
36 papers, 491 citations indexed

About

Sabine Leischner is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Sabine Leischner has authored 36 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Civil and Structural Engineering, 7 papers in Mechanics of Materials and 3 papers in Materials Chemistry. Recurrent topics in Sabine Leischner's work include Asphalt Pavement Performance Evaluation (34 papers), Infrastructure Maintenance and Monitoring (25 papers) and Geotechnical Engineering and Underground Structures (14 papers). Sabine Leischner is often cited by papers focused on Asphalt Pavement Performance Evaluation (34 papers), Infrastructure Maintenance and Monitoring (25 papers) and Geotechnical Engineering and Underground Structures (14 papers). Sabine Leischner collaborates with scholars based in Germany, China and Colombia. Sabine Leischner's co-authors include Markus Oeser, Gustavo Canon Falla, Dawei Wang, Pengfei Liu, Frohmut Wellner, Guoyang Lu, Jonas Kollmann, Jing Hu, Silvia Caro and Huayang Yu and has published in prestigious journals such as Construction and Building Materials, Applied Surface Science and Resources Conservation and Recycling.

In The Last Decade

Sabine Leischner

35 papers receiving 486 citations

Author Peers

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

Author Last Decade Papers Cites
Sabine Leischner 459 89 53 44 30 36 491
Gustavo Canon Falla 400 0.9× 93 1.0× 54 1.0× 38 0.9× 25 0.8× 27 438
Dongdong Han 455 1.0× 110 1.2× 76 1.4× 23 0.5× 46 1.5× 43 523
Xing Fang 327 0.7× 46 0.5× 69 1.3× 35 0.8× 25 0.8× 21 428
Cong Du 445 1.0× 158 1.8× 70 1.3× 18 0.4× 43 1.4× 36 549
Musharraf Zaman 419 0.9× 41 0.5× 66 1.2× 24 0.5× 16 0.5× 68 471
Yuan Ma 368 0.8× 76 0.9× 72 1.4× 31 0.7× 32 1.1× 19 426
Jinguo Ge 443 1.0× 55 0.6× 53 1.0× 91 2.1× 24 0.8× 39 515
Wei Huang 335 0.7× 46 0.5× 103 1.9× 70 1.6× 20 0.7× 41 419
Yun Que 346 0.8× 33 0.4× 60 1.1× 48 1.1× 15 0.5× 50 439
Kairen Shen 484 1.1× 33 0.4× 88 1.7× 40 0.9× 24 0.8× 19 539

Countries citing papers authored by Sabine Leischner

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Leischner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Leischner

This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Leischner. A scholar is included among the top collaborators of Sabine Leischner 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 Sabine Leischner. Sabine Leischner 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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