David M. Cobby

708 citations
7 papers · 555 indexed · h-index 6
Topics
Remote Sensing and LiDAR Applications (5 papers)Flood Risk Assessment and Management (4 papers)Hydrology and Sediment Transport Processes (4 papers)
Partner nations
United Kingdom

In The Last Decade

David M. Cobby

7 papers receiving 507 citations

Peers

David M. Cobby
Comparison fields: 5 of 38
  • Global and Planetary Change 322
  • Ecology 290
  • Environmental Engineering 247
  • Water Science and Technology 232
  • Soil Science 109
Replace A. Casas with:
A. Casas Spain
Harish Sangireddy United States
Jessika Töyrä Canada
Amar Nayegandhi United States
Suzanne P. Wechsler United States
Chandra D. Holifield Collins United States
Luis A. Méndez‐Barroso Mexico
Sara Kelly United States
Márcio de Morisson Valeriano Brazil
Alan Kasprak United States
David M. Cobby relative to A. Casas Spain A. Casas's profile →
Citations per field
00.5×1.5×2.0×
A. Casas · 1×
Citations per year

Countries citing papers authored by David M. Cobby

Since Specialization
Citations

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

Fields of papers citing papers by David M. Cobby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Cobby. 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 David M. Cobby. The network helps show where David M. Cobby may publish in the future.

Co-authorship network of co-authors of David M. Cobby

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Cobby. A scholar is included among the top collaborators of David M. Cobby 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 David M. Cobby. David M. Cobby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 162
2 130
3 29
4
Two-dimensional Hydraulic Flood Modelling Using Floodplain Topographic and Vegetation Features Derived From Airborne Scanning Laser Al Timetry
1
5 222
6 5
7 6

About David M. Cobby

David M. Cobby is a scholar working on Environmental Engineering, Ecology and Ecological Modeling, having authored 7 papers that have together received 555 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (5 papers), Flood Risk Assessment and Management (4 papers) and Hydrology and Sediment Transport Processes (4 papers). The work is most often cited by research in Environmental Engineering (247 citations), Water Science and Technology (232 citations) and Global and Planetary Change (322 citations). David M. Cobby has collaborated with scholars based in United Kingdom. Frequent co-authors include David C. Mason, I. J. Davenport, Matthew S. Horritt, Paul Bates, Richard B. Bradbury, Jeremy D. Wilson, Guy Q.A. Anderson and M. S. Horritt. Their work appears in journals such as International Journal of Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and Hydrological Processes.

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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