Tom Chapman

1.8k citations
39 papers · 1.5k · h-index 16

Impact in

Papers in

Tom Chapman

36 papers receiving 1.3k citations

Peers

Tom Chapman
Comparison fields: 5 of 73
  • Water Science and Technology 1.0k
  • Environmental Engineering 625
  • Global and Planetary Change 743
  • Soil Science 187
  • Geochemistry and Petrology 103
Replace David H. Pilgrim with:
David H. Pilgrim Australia
Ray K. Linsley United States
John Ewen United Kingdom
Tim Peterson Australia
V. P. Singh India
Russell G Mein Australia
Stefano Orlandini Italy
P. J. Restrepo United States
Charles W. Downer United States
J. Rasmussen Denmark
Tom Chapman relative to David H. Pilgrim Australia David H. Pilgrim's profile →
Citations per field
00.5×1.7×
David H. Pilgrim · 1×
Citations per year

Countries citing papers authored by Tom Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Chapman, 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 Tom Chapman Line = papers co-authored together Tom Chapman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988364
2 1999364
3 1991155
4 198685
5 196670
6 198064
7 199739
8 199838
9 200228
10 198427
11 200326
12 200523
13 200619
14 198918
15 195717
16 199517
17 199313
18
Stochastic Models for Daily Rainfall
199413
19 201912
20 19689

About Tom Chapman

Tom Chapman is a scholar working on Water Science and Technology, Environmental Engineering, Global and Planetary Change, Civil and Structural Engineering and Ocean Engineering, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (20 papers), Groundwater flow and contamination studies (13 papers), Hydrology and Drought Analysis (8 papers), Soil and Unsaturated Flow (7 papers), Flood Risk Assessment and Management (6 papers), Water resources management and optimization (5 papers), Soil erosion and sediment transport (5 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Water Science and Technology (1.0k citations), Environmental Engineering (625 citations), Global and Planetary Change (743 citations), Soil Science (187 citations) and Geochemistry and Petrology (103 citations). Tom Chapman has collaborated with scholars based in Australia, United States and China. Frequent co-authors include David H. Pilgrim, D. G. Doran, R. A. Wooding, R. F. Dressler, R. W. Malone, K. D. Woodyer, C. A. McGilchrist, C. R. Dietrich, Piyush Kumar and R Fell. Their work appears in journals such as Water Resources Research, Hydrological Processes, Mathematics and Computers in Simulation, Géotechnique and Journal of Geophysical Research Atmospheres.

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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