Martin Hais

1.1k total citations
21 papers, 530 citations indexed

About

Martin Hais is a scholar working on Ecology, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Martin Hais has authored 21 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 7 papers in Atmospheric Science and 7 papers in Global and Planetary Change. Recurrent topics in Martin Hais's work include Forest Insect Ecology and Management (6 papers), Species Distribution and Climate Change (6 papers) and Geology and Paleoclimatology Research (4 papers). Martin Hais is often cited by papers focused on Forest Insect Ecology and Management (6 papers), Species Distribution and Climate Change (6 papers) and Geology and Paleoclimatology Research (4 papers). Martin Hais collaborates with scholars based in Czechia, Germany and United States. Martin Hais's co-authors include Tomáš Kučera, Magda Jonášová, Jakub Langhammer, Milan Chytrý, Luděk Berec, Karel Prach, Petr Doležal, Jitka Klimešová, Jiří Košnar and Michal Horsák and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Martin Hais

20 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Hais Czechia 12 299 226 159 126 100 21 530
François Morneau Canada 13 182 0.6× 315 1.4× 133 0.8× 95 0.8× 44 0.4× 32 599
Vachel A. Carter United States 13 240 0.8× 223 1.0× 183 1.2× 34 0.3× 114 1.1× 23 461
J. D. Muss United States 11 313 1.0× 501 2.2× 244 1.5× 94 0.7× 66 0.7× 15 828
Colin Edwards United Kingdom 12 146 0.5× 212 0.9× 65 0.4× 71 0.6× 66 0.7× 19 444
Rafi Kent Israel 12 295 1.0× 151 0.7× 44 0.3× 135 1.1× 31 0.3× 21 520
Julius Sebald Austria 6 158 0.5× 336 1.5× 90 0.6× 64 0.5× 141 1.4× 6 503
Chris Toney United States 11 233 0.8× 281 1.2× 33 0.2× 146 1.2× 62 0.6× 20 465
David Hladnik Slovenia 11 147 0.5× 310 1.4× 54 0.3× 69 0.5× 170 1.7× 40 555
Meelis Seedre Czechia 15 167 0.6× 408 1.8× 107 0.7× 47 0.4× 219 2.2× 23 627
W. John Calder United States 11 224 0.7× 337 1.5× 123 0.8× 26 0.2× 36 0.4× 18 614

Countries citing papers authored by Martin Hais

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hais

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hais. A scholar is included among the top collaborators of Martin Hais 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 Martin Hais. Martin Hais 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.
Beudert, Burkhard, Franz J. Conraths, Carolina Probst, et al.. (2025). Temperature and pH dynamics during carcass decomposition and implications for disease management. Scientific Reports. 15(1). 25795–25795.
2.
Tumajer, Jan, Jelena Lange, Monika Vejpustková, et al.. (2023). Shifting climatic responses of tree rings and NDVI along environmental gradients. The Science of The Total Environment. 908. 168275–168275. 7 indexed citations
3.
Hais, Martin, et al.. (2022). Green and blue infrastructure: means of reducing surface temperatures in the urban environment. International Journal of Environment and Sustainable Development. 21(4). 388–388. 4 indexed citations
4.
Latifi, Hooman, Stefanie Holzwarth, Andrew K. Skidmore, et al.. (2021). A laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘Data pool initiative for the Bohemian Forest Ecosystem’. Methods in Ecology and Evolution. 12(11). 2073–2083. 19 indexed citations
5.
Hais, Martin, et al.. (2021). Dynamics of forest disturbance in central part of the Šumava mountains between 1985 and 2007 based on Landsat TM/ETM satellite data. SHILAP Revista de lepidopterología. 43(1). 53–62. 1 indexed citations
6.
Doležal, Petr, et al.. (2020). Multisensor UAV System for the Forest Monitoring. 293–296. 9 indexed citations
7.
Hais, Martin, et al.. (2019). Potential of Landsat spectral indices in regard to the detection of forest health changes due to drought effects. Journal of Forest Science. 65(2). 70–78. 8 indexed citations
8.
Hais, Martin, et al.. (2019). Cross-Border Comparison of Non-Forest Woody Vegetation in the White Carpathians (Central Europe) Over Last 65 Years. Journal of Landscape Ecology. 12(2). 64–78. 3 indexed citations
9.
Řičánková, Věra Pavelková, Michal Horsák, Martin Hais, Jan Robovský, & Milan Chytrý. (2017). Environmental correlates of the Late Quaternary regional extinctions of large and small Palaearctic mammals. Ecography. 41(3). 516–527. 11 indexed citations
10.
Hais, Martin, Milan Chytrý, & Michal Horsák. (2016). Exposure-related forest-steppe: A diverse landscape type determined by topography and climate. Journal of Arid Environments. 135. 75–84. 38 indexed citations
11.
Hais, Martin, Jan Wild, Luděk Berec, et al.. (2016). Landsat Imagery Spectral Trajectories—Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance. Remote Sensing. 8(8). 687–687. 36 indexed citations
12.
Paudel, Prakash Kumar, Martin Hais, & Pavel Kindlmann. (2015). Habitat suitability models of mountain ungulates: identifying potential areas for conservation. Zoological studies. 54(1). e37–e37. 14 indexed citations
13.
Hais, Martin, Klára Komprdová, Nikolai Ermakov, & Milan Chytrý. (2015). Modelling the Last Glacial Maximum environments for a refugium of Pleistocene biota in the Russian Altai Mountains, Siberia. Palaeogeography Palaeoclimatology Palaeoecology. 438. 135–145. 32 indexed citations
14.
Řičánková, Věra Pavelková, et al.. (2013). Habitat preferences in gray marmots (Marmota baibacina). ACTA THERIOLOGICA. 59(2). 317–324. 6 indexed citations
15.
Berec, Luděk, Petr Doležal, & Martin Hais. (2013). Population dynamics of Ips typographus in the Bohemian Forest (Czech Republic): Validation of the phenology model PHENIPS and impacts of climate change. Forest Ecology and Management. 292. 1–9. 44 indexed citations
16.
Prach, Karel, et al.. (2012). Variability of contemporary vegetation around Petuniabukta, central Spitsbergen. Polish Polar Research. 33(4). 383–394. 24 indexed citations
17.
Hais, Martin, Magda Jonášová, Jakub Langhammer, & Tomáš Kučera. (2009). Comparison of two types of forest disturbance using multitemporal Landsat TM/ETM+ imagery and field vegetation data. Remote Sensing of Environment. 113(4). 835–845. 100 indexed citations
18.
Hais, Martin & Tomáš Kučera. (2009). The influence of topography on the forest surface temperature retrieved from Landsat TM, ETM + and ASTER thermal channels. ISPRS Journal of Photogrammetry and Remote Sensing. 64(6). 585–591. 56 indexed citations
19.
Prach, Karel, Jiří Košnar, Jitka Klimešová, & Martin Hais. (2009). High Arctic vegetation after 70 years: a repeated analysis from Svalbard. Polar Biology. 33(5). 635–639. 43 indexed citations
20.
Hais, Martin & Tomáš Kučera. (2008). Surface temperature change of spruce forest as a result of bark beetle attack: remote sensing and GIS approach. European Journal of Forest Research. 127(4). 327–336. 58 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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