OOIR: Observatory of International Research

Papers

(The H4-Index of Environmental Modelling & Software is 36. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)

Article	Citations
Enhancing forest ecosystem simulation in the TASC model through the integration of the DAYCENT forest model	197
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms	168
Developing best practice guidelines for lake modelling to inform quantitative microbial risk assessment	163
Editorial Board	112
Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework	104
Assessing the hillslope-channel contributions to the catchment sediment balance under climate change	86
An integrated, mesh-independent geothermal modelling framework	84
The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model	80
New GIS tools for wind fetch analysis: A case study of changes in wave exposure in Isfjorden (Svalbard) due to reduced fast ice coverage	80
A post-processing machine learning framework for bias-correcting National Water Model outputs by accounting for dominant streamflow drivers	75
A physics-based model of thermodynamically varying fuel moisture content for fire behavior prediction	69
Fine-tuning the BFOLDS Fire Regime Module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape	68
Particle filter for high frequency oxygen data assimilation in river systems	66
Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States	63
A Comprehensive Chemistry Evaluation and Diagnostics Package for E3SM – ChemDyg Version 1.1.0	59
Editorial Board	54
An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data	54
Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics	52
Models and the common good	49
Challenges and opportunities when bringing machines onto the team: Human-AI teaming and flood evacuation decisions	49
PyCHAMP: A crop-hydrological-agent modeling platform for groundwater management	47
XR-based interactive visualization platform for real-time exploring dynamic earth science data	47
Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model	45
Crop modeling frameworks interoperability through bidirectional source code transformation	44
Analysis and comparison of coupled and uncoupled simulations with the COAWST model during the Gloria Storm (January 2020) in the northwestern Mediterranean Sea	43

The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation	42
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat	41
Integrated river basin assessment framework combining probabilistic streamflow reconstruction, Bayesian bias correction, and drought storyline analysis	41
A coupled multiscale description of seasonal Physical–BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone	40
HyPix: 1D physically based hydrological model with novel adaptive time-stepping management and smoothing dynamic criterion for controlling Newton–Raphson step	40
Conditional interval reduction method: A possible new direction for the optimization of process based models	40
Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea	38
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications	37
Modeling in-stream biogeochemical processes at catchment scale: Coupling SWAT and RIVE models	37
Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward?	37
Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion	36