Szilárd Szabó

5.0k total citations
178 papers, 3.4k citations indexed

About

Szilárd Szabó is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Szilárd Szabó has authored 178 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Ecology, 40 papers in Environmental Engineering and 37 papers in Global and Planetary Change. Recurrent topics in Szilárd Szabó's work include Remote Sensing in Agriculture (32 papers), Land Use and Ecosystem Services (25 papers) and Soil erosion and sediment transport (24 papers). Szilárd Szabó is often cited by papers focused on Remote Sensing in Agriculture (32 papers), Land Use and Ecosystem Services (25 papers) and Soil erosion and sediment transport (24 papers). Szilárd Szabó collaborates with scholars based in Hungary, India and United States. Szilárd Szabó's co-authors include Sudhir Kumar Singh, Prashant K. Srivastava, Sk. Mustak, Tanvir Islam, Béla Tóthmérész, Gergely Szabó, I. J. Holb, Boglárka Bertalan-Balázs, Zoltán Gácsi and László Bertalan and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Szilárd Szabó

167 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Szilárd Szabó Hungary 30 1.3k 961 825 566 414 178 3.4k
Fan‐Rui Meng Canada 34 1.1k 0.8× 600 0.6× 855 1.0× 777 1.4× 368 0.9× 146 3.5k
Elpídio Inácio Fernandes Filho Brazil 25 723 0.5× 599 0.6× 874 1.1× 482 0.9× 272 0.7× 126 2.3k
Xiaodong Yan China 34 1.7k 1.2× 471 0.5× 492 0.6× 189 0.3× 249 0.6× 258 3.9k
Quan Wang China 36 1.9k 1.4× 1.9k 2.0× 979 1.2× 441 0.8× 1.5k 3.5× 250 6.1k
Jinchi Zhang China 34 906 0.7× 727 0.8× 157 0.2× 758 1.3× 1.1k 2.7× 188 3.4k
Jennifer Y. King United States 35 1.3k 1.0× 1.5k 1.5× 245 0.3× 1.7k 3.0× 848 2.0× 60 4.2k
Xingyuan He China 42 2.1k 1.6× 740 0.8× 1.5k 1.8× 584 1.0× 1.8k 4.3× 242 5.9k
Hong‐Yi Li China 41 2.0k 1.5× 522 0.5× 724 0.9× 437 0.8× 403 1.0× 194 5.2k
John Wright United Kingdom 16 2.0k 1.5× 2.3k 2.4× 1.5k 1.8× 353 0.6× 314 0.8× 36 6.4k
Jiaqiang Lei China 28 1.2k 0.9× 659 0.7× 371 0.4× 777 1.4× 280 0.7× 184 2.7k

Countries citing papers authored by Szilárd Szabó

Since Specialization
Citations

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

Fields of papers citing papers by Szilárd Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szilárd Szabó

This figure shows the co-authorship network connecting the top 25 collaborators of Szilárd Szabó. A scholar is included among the top collaborators of Szilárd Szabó 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 Szilárd Szabó. Szilárd Szabó 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.
Tóth, Tibor, Szilárd Szabó, Tibor József Novák, et al.. (2025). Better management zoning with elevation than with three soil classifications in a periodically waterlogged plot. Geoderma Regional. 40. e00927–e00927.
2.
Rodrigo‐Comino, Jesús, Szilárd Szabó, Emanuele Radicetti, et al.. (2025). Integrative Approaches to Enhance Soil Quality and Crop Performance Through Residue Management and Nitrogen Fertilization in Diverse Cropping Rotations. Journal of soil science and plant nutrition.
3.
4.
Holb, I. J., et al.. (2024). Flood risk assessment of a small river with limited available data. Spatial Information Research. 32(6). 787–800. 1 indexed citations
5.
Szabó, Szilárd, et al.. (2024). Improving Urban Mapping Accuracy: Investigating the Role of Data Acquisition Methods and SfM Processing Modes in UAS-Based Survey Through Explainable AI Metrics. Journal of Geovisualization and Spatial Analysis. 8(1). 4 indexed citations
6.
Weidert, Simon, et al.. (2023). Man versus machine: Automatic pedicle screw planning using registration‐based techniques compared with manual screw planning for thoracolumbar fusion surgeries. International Journal of Medical Robotics and Computer Assisted Surgery. 20(1). e2570–e2570. 3 indexed citations
7.
Rawat, Kishan Singh, et al.. (2023). Assessment of multi-source satellite products using hydrological modelling approach. Physics and Chemistry of the Earth Parts A/B/C. 133. 103507–103507. 7 indexed citations
8.
Mohammed, Safwan, Glory O. Enaruvbe, Bashar Bashir, et al.. (2023). Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria. Land Degradation and Development. 34(10). 2896–2911. 11 indexed citations
9.
Harsányi, Endre, et al.. (2023). A bibliographic review of climate change and fertilization as the main drivers of maize yield: implications for food security. Agriculture & Food Security. 12(1). 22 indexed citations
10.
Díaz‐Pinés, Eugenio, et al.. (2023). Assessment of soil CO2 and NO fluxes in a semi-arid region using machine learning approaches. Journal of Arid Environments. 211. 104947–104947. 9 indexed citations
11.
Phinzi, Kwanele, et al.. (2023). Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest. Earth Science Informatics. 16(4). 3667–3677. 11 indexed citations
12.
13.
Kumar, Mukesh, et al.. (2018). Landscape metrics for assessment of land cover change and fragmentation of a heterogeneous watershed. Remote Sensing Applications Society and Environment. 10. 224–233. 83 indexed citations
14.
Singh, Sudhir Kumar, Prashant K. Srivastava, Szilárd Szabó, et al.. (2015). Landscape transform and spatial metrics for mapping spatiotemporal land cover dynamics using Earth Observation data-sets. Geocarto International. 32(2). 113–127. 87 indexed citations
15.
Szabó, Szilárd. (2010). The comparison of CLC2000 and CLC50 databases in terms of landscape metrics.. Tájökológiai Lapok. 8(1). 23–33. 1 indexed citations
16.
Szabó, Szilárd, Lajos Molnár, György Szabó, et al.. (2010). Gis database of heavy metals in the floodplain of the Tisza river. University of Debrecen Electronic Archive (University of Debrecen). 20(4). 97–104. 2 indexed citations
17.
Szabó, Szilárd, et al.. (2009). Possible methodology for the selection of landscape metrics.. Tájökológiai Lapok. 7(1). 141–153. 2 indexed citations
18.
Antal, Károly, Joyce M. Budai, & Szilárd Szabó. (2009). How to protect the plants from heavy metal stress in contaminated mine sites with sheep manure compost. Cereal Research Communications. 37. 549–552.
19.
Szabó, György, Zoltán Elek, & Szilárd Szabó. (2008). STUDY OF HEAVY METALS IN THE SOIL-PLANT SYSTEM. Cereal Research Communications. 36. 403–406. 8 indexed citations
20.
Szabó, Szilárd, et al.. (2000). 3-Dimensional Potential Based Guiding. SZTAKI Publication Repository (Hungarian Academy of Sciences). 4 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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