Attila Nagy

Attila Nagy

Debreceni Egyetem

H-index: 12

Europe-Hungary

About Attila Nagy

Attila Nagy, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Debreceni Egyetem, specializes in the field of water management, remote sensing, GIS, drought management, urban hydrolgy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing Water Balance Assessment in Urban Areas through High-Resolution Land Cover Mapping: Case Study of Debrecen, Hungary

Evaluation of spectral data based soil organic carbon content estimation models in VIS-NIR

Non-invasive indicators in the poultry manure composting process

Mobile photogrammetric raster clouds to apply classification of time series data

Meteorological Data Fusion Approach for Modeling Crop Water Productivity Based on Ensemble Machine Learning

Modeling of soil moisture and water fluxes in a maize field for the optimization of irrigation

Evaluation of new pivoting linear‐move precision irrigation machine

Composted sewage sludge utilization in phytostabilization of heavy metals contaminated soils

Attila Nagy Information

University

Position

___

Citations(all)

570

Citations(since 2020)

452

Cited By

205

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

17

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Attila Nagy Skills & Research Interests

water management

remote sensing

GIS

drought management

urban hydrolgy

Top articles of Attila Nagy

Enhancing Water Balance Assessment in Urban Areas through High-Resolution Land Cover Mapping: Case Study of Debrecen, Hungary

Environmental Challenges

2024/4/2

Evaluation of spectral data based soil organic carbon content estimation models in VIS-NIR

Soil Science Annual

2024/3/25

Non-invasive indicators in the poultry manure composting process

International Journal of Recycling Organic Waste in Agriculture

2024/3/1

Mobile photogrammetric raster clouds to apply classification of time series data

2023

Meteorological Data Fusion Approach for Modeling Crop Water Productivity Based on Ensemble Machine Learning

Water

2023/1

Modeling of soil moisture and water fluxes in a maize field for the optimization of irrigation

Computers and Electronics in Agriculture

2023/10/1

Evaluation of new pivoting linear‐move precision irrigation machine

Irrigation and Drainage

2023/10

Composted sewage sludge utilization in phytostabilization of heavy metals contaminated soils

International Journal of Phytoremediation

2023/9/19

Comparing the environmental impact of poultry manure and chemical fertilizers

Frontiers in Built Environment

2023/8/31

Hydrological decision-making systems using high-resolution weather radar observations-a case study from Hungary

EGU General Assembly Conference Abstracts

2023/5

UAV-based heterogeneity analysis of soil-plant-water system of small-plot experiment with different oat genotypes under Si and S foliar fertilization treatments

EGU General Assembly Conference Abstracts

2023/5

Enhancing the Urban Atlas Features with the Water Balance Estimates Using the Landsat 8 Imagery

IOP Conference Series: Earth and Environmental Science

2023/5/1

Management of alternative water resources for variable rate irrigation-a Hungarian case study

EGU General Assembly Conference Abstracts

2023/5

D7. 5: Data Assimilation System for Physically Based Models-WP7 Framework

2023

Assessment of UAV-based LiDAR and photogrammetry data in crop morphology monitoring for advanced irrigation

2023

Baromfitrágya alapú komposzt szuszpenzió hatásának vizsgálata káposzta (Brassica oleracea L. convar. capitata provar. capitata Dutch) tesztnövénnyel

GEORGIKON FOR AGRICULTURE

2022/12/15

A műtrágyák szerves trágyával történő helyettesíthetőségének vizsgálata környezetvédelmi aspektusból az előállításuk alapján

GEORGIKON FOR AGRICULTURE

2022/12/15

Preliminary studies to evaluate the use of spectral data in monitoring of apple orchard parameters

Acta Agraria Debreceniensis

2022/12/6

Comparison of the effects of manure-based product and ammonium nitrate on maize (Zea mays L.).

2022/8/15

Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech watershed, Ethiopia

Environmental Challenges

2022/8/1

See List of Professors in Attila Nagy University(Debreceni Egyetem)