Hans Schmid

2.9k total citations
34 papers, 1.6k citations indexed

About

Hans Schmid is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Hans Schmid has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecological Modeling, 22 papers in Ecology and 18 papers in Nature and Landscape Conservation. Recurrent topics in Hans Schmid's work include Species Distribution and Climate Change (23 papers), Ecology and Vegetation Dynamics Studies (17 papers) and Wildlife Ecology and Conservation (17 papers). Hans Schmid is often cited by papers focused on Species Distribution and Climate Change (23 papers), Ecology and Vegetation Dynamics Studies (17 papers) and Wildlife Ecology and Conservation (17 papers). Hans Schmid collaborates with scholars based in Switzerland, Germany and United States. Hans Schmid's co-authors include Marc Kéry, J. Andrew Royle, Niklaus Zbinden, Rudi Suchant, Raphaël Arlettaz, Kurt Bollmann, Veronika Braunisch, Joy Coppes, Ramona Maggini and Anthony Lehmann and has published in prestigious journals such as Global Change Biology, Conservation Biology and Ecological Monographs.

In The Last Decade

Hans Schmid

32 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Schmid Switzerland 18 1.1k 964 789 301 264 34 1.6k
Laëtitia Buisson France 17 1.4k 1.3× 1.1k 1.1× 1.5k 1.9× 380 1.3× 242 0.9× 37 2.3k
Miia Parviainen Finland 9 789 0.7× 998 1.0× 572 0.7× 266 0.9× 256 1.0× 12 1.4k
Patricia J. Heglund United States 19 1.7k 1.6× 827 0.9× 631 0.8× 574 1.9× 275 1.0× 39 2.2k
Nathaniel E. Seavy United States 24 1.4k 1.3× 665 0.7× 587 0.7× 656 2.2× 397 1.5× 80 2.0k
Hideyasu Shimadzu United Kingdom 15 857 0.8× 533 0.6× 832 1.1× 446 1.5× 434 1.6× 27 1.6k
Glenn Manion Australia 14 793 0.7× 794 0.8× 852 1.1× 480 1.6× 372 1.4× 23 1.7k
Jacob B. Socolar United States 12 861 0.8× 511 0.5× 886 1.1× 402 1.3× 409 1.5× 29 1.6k
Bruce A. Stein United States 16 782 0.7× 770 0.8× 639 0.8× 675 2.2× 397 1.5× 26 1.8k
Christine A. Howell United States 17 1.3k 1.2× 1.2k 1.2× 991 1.3× 673 2.2× 371 1.4× 29 2.1k
Peter W. C. Paton United States 22 1.8k 1.6× 481 0.5× 768 1.0× 760 2.5× 355 1.3× 78 2.2k

Countries citing papers authored by Hans Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Hans Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Schmid. A scholar is included among the top collaborators of Hans Schmid 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 Hans Schmid. Hans Schmid 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.
Kéry, Marc, et al.. (2021). Spatio-temporal variation in post-recovery dynamics in a large Peregrine Falcon (Falco peregrinus) population in the Jura mountains 2000–2020. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
2.
García‐Navas, Vicente, Thomas Sattler, Hans Schmid, & Arpat Özgül. (2021). Bird species co‐occurrence patterns in an alpine environment supports the stress‐gradient hypothesis. Oikos. 130(11). 1905–1918. 10 indexed citations
3.
Briscoe, Natalie J., Damaris Zurell, Jane Elith, et al.. (2021). Can dynamic occupancy models improve predictions of species' range dynamics? A test using Swiss birds. Global Change Biology. 27(18). 4269–4282. 24 indexed citations
4.
García‐Navas, Vicente, Thomas Sattler, Hans Schmid, & Arpat Özgül. (2021). High elevation bird communities in the Swiss Alps exhibit reduced fecundity and lifespan independently of phylogenetic effects. Biodiversity and Conservation. 30(4). 991–1010. 3 indexed citations
5.
6.
García‐Navas, Vicente, Thomas Sattler, Hans Schmid, & Arpat Özgül. (2020). Temporal homogenization of functional and beta diversity in bird communities of the Swiss Alps. Diversity and Distributions. 26(8). 900–911. 51 indexed citations
7.
Jørgensen, Peter Søgaard, Katrin Böhning‐Gaese, Kasper Thorup, et al.. (2015). Continent‐scale global change attribution in European birds ‐ combining annual and decadal time scales. Global Change Biology. 22(2). 530–543. 50 indexed citations
8.
Zbinden, Niklaus, et al.. (2014). A resampling-based method for effort correction in abundance trend analyses from opportunistic biological records. Bird Study. 61(4). 506–517. 9 indexed citations
9.
Revermann, Rasmus, Hans Schmid, Niklaus Zbinden, Reto Spaar, & Boris Schröder. (2012). Habitat at the mountain tops: how long can Rock Ptarmigan (Lagopus muta helvetica) survive rapid climate change in the Swiss Alps? A multi-scale approach. Journal für Ornithologie. 153(3). 891–905. 57 indexed citations
10.
Maggini, Ramona, Anthony Lehmann, Marc Kéry, et al.. (2011). Are Swiss birds tracking climate change?. Detecting elevational shifts using response curve shapes. Queensland's institutional digital repository (The University of Queensland). 7 indexed citations
11.
Kéry, Marc, et al.. (2010). Site‐Occupancy Distribution Modeling to Correct Population‐Trend Estimates Derived from Opportunistic Observations. Conservation Biology. 24(5). 1388–1397. 126 indexed citations
12.
13.
Kéry, Marc, J. Andrew Royle, & Hans Schmid. (2007). Importance of sampling design and analysis in animal population studies: a comment on Sergio et al.. Journal of Applied Ecology. 45(3). 981–986. 25 indexed citations
14.
Royle, J. Andrew, et al.. (2007). HIERARCHICAL SPATIAL MODELS OF ABUNDANCE AND OCCURRENCE FROM IMPERFECT SURVEY DATA. Ecological Monographs. 77(3). 465–481. 139 indexed citations
15.
Keller, Véréna, et al.. (2005). A Case Study in Applying the IUCN Regional Guidelines for National Red Lists and Justifications for their Modification. Conservation Biology. 19(6). 1827–1834. 19 indexed citations
16.
Kéry, Marc, J. Andrew Royle, & Hans Schmid. (2005). MODELING AVIAN ABUNDANCE FROM REPLICATED COUNTS USING BINOMIAL MIXTURE MODELS. Ecological Applications. 15(4). 1450–1461. 278 indexed citations
17.
Pasinelli, Gilberto, Beat Naef‐Daenzer, Hans Schmid, et al.. (2001). An avifaunal zonation of Switzerland and its relation to environmental conditions. Global Ecology and Biogeography. 10(3). 261–274. 11 indexed citations
18.
Schmid, Hans, et al.. (1999). Environmental indicators - interface between economy and ecology. 6(1). 29–32. 2 indexed citations
19.
Schmid, Hans, et al.. (1998). Determination of algal biomass with HPLC pigment analysis from lakes of different trophic state in comparison to microscopically measured biomass. Journal of Plankton Research. 20(9). 1651–1661. 34 indexed citations
20.
Schmid, Hans, et al.. (1995). HPLC-analysis of algal pigments: comparison of columns, column properties and eluents. Journal of Applied Phycology. 7(5). 487–494. 23 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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