Richard P. Ibbitt

1.3k citations
29 papers · 915 indexed · h-index 14

Richard P. Ibbitt

29 papers receiving 829 citations

Peers

Richard P. Ibbitt
Comparison fields: 5 of 57
  • Water Science and Technology 722
  • Global and Planetary Change 519
  • Environmental Engineering 331
  • Atmospheric Science 258
  • Soil Science 89
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Countries citing papers authored by Richard P. Ibbitt

Since Specialization
Citations

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

Fields of papers citing papers by Richard P. Ibbitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard P. Ibbitt. 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 Richard P. Ibbitt. The network helps show where Richard P. Ibbitt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Richard P. Ibbitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Richard P. Ibbitt Line = papers co-authored together Richard P. Ibbitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2
Assimilating Streamflow Data to Update Water Table Positions in Rainfall-to-runoff Models Based on TOPMODEL Concepts
20091
3
Hydrological Data Assimilation with the Ensemble Kalman Filter: Use of Streamflow Observations to Update States in a Distributed Hydrological Model
20072
4
Skill assessment of a linked precipitation-runoff flood forecasting system
20055
5 200523
6 20042
7
Towards rainfall-runoff models that do not need calibration to flow data
20026
8 20025
9
Experimental Design and Initial Results from the Mahurangi River Variability Experiment: MARVEX: Observations and Modelling of Land Surface Hydrological Processes
200113
10 200036
11
Distributed Hydrologic Modeling using GIS and Topmodel
19991
12 199931
13 199815
14 199812
15
Hydrological processes of extreme events.
19971
16
Floods and droughts: the New Zealand experience.
199733
17 199611
18
Catalogue of rivers for Southeast Asia and the Pacific
199534
19 198718
20 197229

About Richard P. Ibbitt

Richard P. Ibbitt is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering, having authored 29 papers that have together received 915 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (26 papers), Flood Risk Assessment and Management (13 papers), Hydrology and Sediment Transport Processes (11 papers), Soil erosion and sediment transport (5 papers), Hydrology and Drought Analysis (5 papers), Hydrological Forecasting Using AI (3 papers), Groundwater flow and contamination studies (3 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Water Science and Technology (722 citations), Global and Planetary Change (519 citations) and Environmental Engineering (331 citations). Richard P. Ibbitt has collaborated with scholars based in New Zealand, United Kingdom and Ireland. Frequent co-authors include Ross Woods, Michael Uddstrom, A. G. Slater, Martyn Clark, David E. Rupp, Xiaogu Zheng, Jochen Schmidt, Soroosh Sorooshian, Qingyun Duan and Alistair I McKerchar. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

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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