J. Liebert

935 total citations · 1 hit paper
7 papers, 735 citations indexed

About

J. Liebert is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, J. Liebert has authored 7 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 4 papers in Water Science and Technology and 2 papers in Atmospheric Science. Recurrent topics in J. Liebert's work include Hydrology and Watershed Management Studies (3 papers), Climate variability and models (3 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). J. Liebert is often cited by papers focused on Hydrology and Watershed Management Studies (3 papers), Climate variability and models (3 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). J. Liebert collaborates with scholars based in Germany and Sweden. J. Liebert's co-authors include Uwe Ehret, Volker Wulfmeyer, Kirsten Warrach‐Sagi, Erwin Zehe, Doris Duethmann, Bruno Merz, Sven Wagner, Peter Berg, Hendrik Feldmann and Harald Kunstmann and has published in prestigious journals such as Hydrology and earth system sciences, Journal of Hydrometeorology and Advances in geosciences.

In The Last Decade

J. Liebert

7 papers receiving 718 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

HESS Opinions "Should we apply bias correction to global and regional climate model data?"

2012 578 citations Uwe Ehret, Erwin Zehe et al. Hydrology and earth system sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Liebert Germany	3	637	354	315	107	44	7	735
Irene Kohn Germany	11	673 1.1×	358 1.0×	396 1.3×	155 1.4×	51 1.2×	19	943
Reepal Shah India	9	637 1.0×	236 0.7×	268 0.9×	122 1.1×	103 2.3×	17	770
W. van Deursen Netherlands	5	491 0.8×	232 0.7×	311 1.0×	50 0.5×	74 1.7×	10	648
Sonja Folwell United Kingdom	11	672 1.1×	382 1.1×	343 1.1×	79 0.7×	105 2.4×	23	861
Shanti Shwarup Mahto India	10	651 1.0×	265 0.7×	183 0.6×	87 0.8×	73 1.7×	21	775
Amar Deep Tiwari India	11	606 1.0×	234 0.7×	306 1.0×	109 1.0×	116 2.6×	21	762
Marco Braun Canada	13	866 1.4×	511 1.4×	576 1.8×	82 0.8×	110 2.5×	22	1.1k
Hsin-I Chang United States	10	544 0.9×	419 1.2×	170 0.5×	43 0.4×	78 1.8×	21	679
Keith J. Harding United States	10	469 0.7×	259 0.7×	122 0.4×	70 0.7×	51 1.2×	11	551

Countries citing papers authored by J. Liebert

Since Specialization

Citations

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

Fields of papers citing papers by J. Liebert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Liebert

This figure shows the co-authorship network connecting the top 25 collaborators of J. Liebert. A scholar is included among the top collaborators of J. Liebert 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 J. Liebert. J. Liebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Duethmann, Doris, J. Liebert, Peter Berg, et al.. (2013). High-Resolution Climate Change Impact Analysis on Medium-Sized River Catchments in Germany: An Ensemble Assessment. Journal of Hydrometeorology. 14(4). 1175–1193. 30 indexed citations

2.

Ott, Ingmar, J. Liebert, Peter Berg, et al.. (2012). Climate change impact on medium and small sized river catchments in Germany: An ensemble assessment. EGUGA. 9559. 2 indexed citations

3.

Ehret, Uwe, Erwin Zehe, Volker Wulfmeyer, Kirsten Warrach‐Sagi, & J. Liebert. (2012). HESS Opinions "Should we apply bias correction to global and regional climate model data?". Hydrology and earth system sciences. 16(9). 3391–3404. 578 indexed citations breakdown →

4.

Ehret, Uwe, Erwin Zehe, Volker Wulfmeyer, Kirsten Warrach‐Sagi, & J. Liebert. (2012). Should we apply bias correction to global and regional climate model data. 120 indexed citations

5.

Schädler, Gerd, Peter Berg, Hendrik Feldmann, et al.. (2012). Flood hazards in a changing climate. Final report. 2 indexed citations

6.

Liebert, J., et al.. (2007). Information system "BW_Abfluss": regionalisation of flood, mean and low flow parameters. Advances in geosciences. 11. 57–61. 2 indexed citations

7.

Liebert, J., et al.. (2002). Operable Water Quantity Model System to Support Water Quality Management in a River Sub-Basin. 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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