Martin Lukáč

5.9k total citations · 1 hit paper
111 papers, 3.4k citations indexed

About

Martin Lukáč is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Martin Lukáč has authored 111 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 28 papers in Nature and Landscape Conservation and 27 papers in Plant Science. Recurrent topics in Martin Lukáč's work include Soil Carbon and Nitrogen Dynamics (24 papers), Plant Water Relations and Carbon Dynamics (16 papers) and Plant responses to elevated CO2 (14 papers). Martin Lukáč is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (24 papers), Plant Water Relations and Carbon Dynamics (16 papers) and Plant responses to elevated CO2 (14 papers). Martin Lukáč collaborates with scholars based in United Kingdom, Czechia and Slovakia. Martin Lukáč's co-authors include Douglas L. Godbold, Carlo Calfapietra, Paolo De Angelis, R. Ceulemans, Syed Amir Manzoor, Geoffrey Griffiths, Bohdan Konôpka, Jozef Pajtík, Marcel R. Hoosbeek and Giuseppe Scarascia Mugnozza and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Lukáč

106 papers receiving 3.3k 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.

Forest response to elevated CO₂is conserved across a broad range of productivity

2005 786 citations Martin Lukáč et al. profile →

Peers

Martin Lukáč

GPC

NLC

ECOLO

Andreas Heinemeyer United Kingdom

Marcel van Oijen United Kingdom

Weifeng Wang China

Heather Keith Australia

Mikko Peltoniemi Finland

Gervasio Piñeiro Argentina

Xin Jing China

Stefan Erasmi Germany

Shiping Chen China

Kai Zhu China

Andreas Heinemeyer United Kingdom

Martin Lukáč

2.3k ×1.6

GPC

1.1k ×0.8

854 ×0.9

NLC

1.0k ×1.2

1.1k ×1.8

ECOLO

Citations per year, relative to Martin Lukáč Martin Lukáč (= 1×) peers Andreas Heinemeyer

Countries citing papers authored by Martin Lukáč

Since Specialization

Citations

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

Fields of papers citing papers by Martin Lukáč

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Lukáč

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

All Works

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20 of 20 papers shown

Huang, Tingting, et al.. (2025). Advancing landscape characterisation: A comparative study of machine learning and manual classification methods. Ecological Informatics. 90. 103349–103349. 1 indexed citations

Šimanský, Vladimír & Martin Lukáč. (2025). Interactions Between Soil Texture and Cover Crop Diversity Shape Carbon Dynamics and Aggregate Stability. Land. 14(10). 2044–2044.

Šimanský, Vladimír, Jan Hořák, & Martin Lukáč. (2024). Addition of Biochar and Fertiliser Drives Changes in Soil Organic Matter and Humic Substance Content in Haplic Luvisol. Land. 13(4). 481–481. 4 indexed citations

Berchová‐Bímová, Kateřina, et al.. (2024). Microgranular biochar improves soil fertility and mycorrhization in crop systems. Soil Use and Management. 40(2). 3 indexed citations

Bishop, Jacob, et al.. (2024). Modern arable and diverse ley farming systems can increase soil organic matter faster than global targets. Renewable Agriculture and Food Systems. 39. 1 indexed citations

Šimanský, Vladimír, et al.. (2023). Grass sward cover improves soil organic carbon and nitrogen in a vineyard. Soil Science & Plant Nutrition. 69(4). 240–249. 5 indexed citations

Manzoor, Syed Amir, et al.. (2023). Areas of the Terai Arc landscape in Nepal at risk of forest fire identified by fuzzy analytic hierarchy process. Environmental Development. 45. 100810–100810. 16 indexed citations

Huang, Tingting, et al.. (2023). Harnessing machine learning for landscape character management in a shallow relief region of China. Landscape Research. 48(8). 1019–1040. 8 indexed citations

Šimanský, Vladimír, Elżbieta Wójcik‐Gront, Tomáš Lošák, et al.. (2022). Changes in Relationships between Humic Substances and Soil Structure following Different Mineral Fertilization of Vitis vinifera L. in Slovakia. Agronomy. 12(6). 1460–1460. 11 indexed citations

10.

Khan, Fawad, Syed Amir Manzoor, Mudssar Ali, et al.. (2021). Drivers of farmers’ intention to adopt integrated pest management: a case study of vegetable farmers in Pakistan. Ecosphere. 12(10). 13 indexed citations

11.

Garratt, Michael P. D., et al.. (2020). Quantifying crop pollinator-dependence and pollination deficits: The effects of experimental scale on yield and quality assessments. Agriculture Ecosystems & Environment. 304. 107106–107106. 32 indexed citations

12.

Khan, Fawad, Syed Amir Manzoor, Muhammad Akmal, et al.. (2020). Modeling pesticide use intention in Pakistani farmers using expanded versions of the theory of planned behavior. Human and Ecological Risk Assessment An International Journal. 27(3). 687–707. 19 indexed citations

13.

Jones, Hannah E., et al.. (2019). Crop rotations in a climate change scenario: short-term effects of crop diversity on resilience and ecosystem service provision under drought. Agriculture Ecosystems & Environment. 285. 106625–106625. 98 indexed citations

14.

Bishop, Jacob, Hannah Jones, Martin Lukáč, & Simon G. Potts. (2016). Insect pollination reduces yield loss following heat stress in faba bean (Vicia faba L.). Agriculture Ecosystems & Environment. 220. 89–96. 47 indexed citations

15.

Toet, Sylvia, et al.. (2014). The hysteretic response of peatland methane fluxes: an improved approch to identify the factors controlling methane flux.. EGUGA. 15940. 2 indexed citations

16.

Ramanathan, Nithya, et al.. (2011). Comparison Between Elemental Carbon Measured Using Thermal-Optical Analysis and Black Carbon Measurements Using A Novel Cellphone-Based System. AGUFM. 2011. 1 indexed citations

17.

Acker, Amelia, Martin Lukáč, & Deborah Estrin. (2010). Participatory Sensing for Community Data Campaigns: A case study. eScholarship (California Digital Library). 4 indexed citations

18.

Ramanathan, Nithya, et al.. (2010). Cellphones as a Distributed Platform for Black Carbon Data Collection. AGU Fall Meeting Abstracts. 2010. 1 indexed citations

19.

Lukáč, Martin, et al.. (2010). Tree exposure to elevated CO2 increases availability of soil phosphorus.. Pakistan Journal of Botany. 42(2). 907–916. 3 indexed citations

20.

Girod, Lewis, Martin Lukáč, Thanos Stathopoulos, et al.. (2005). A Reliable Multicast Mechanism for Sensor Network Applications. eScholarship (California Digital Library). 3 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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