Brian R. Kirsch

576 citations
12 papers · 459 indexed · h-index 6

Brian R. Kirsch

12 papers receiving 444 citations

Peers

Brian R. Kirsch
Comparison fields: 5 of 65
  • Ocean Engineering 330
  • Water Science and Technology 213
  • Civil and Structural Engineering 151
  • Global and Planetary Change 106
  • Computational Theory and Mathematics 75
Replace Evgenii S. Matrosov with:
Evgenii S. Matrosov United Kingdom
Enrico Weber Italy
José Alberto Tejada-Guibert United States
Maria Elvira Piñeiro Maceira Brazil
Seyed Mohammad Ashrafi Iran
João Marques Portugal
Michael Bender Germany
Daniel P. Sheer United States
Walter R. Lynn United States
Xiang Fu China
Brian R. Kirsch relative to Evgenii S. Matrosov United Kingdom Evgenii S. Matrosov's profile →
Citations per field
00.5×9.4×
Evgenii S. Matrosov · 1×
Citations per year

Countries citing papers authored by Brian R. Kirsch

Since Specialization
Citations

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

Fields of papers citing papers by Brian R. Kirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian R. Kirsch. 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 Brian R. Kirsch. The network helps show where Brian R. Kirsch may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Brian R. Kirsch, 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 Brian R. Kirsch Line = papers co-authored together Brian R. Kirsch links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20243
2 20152
3 201260
4 2011126
5 200926
6 2009140
7
Completion Criteria for Rehabilitated Forest Ecosystems on Mined Land - Should They be Based on Unmined Reference Sites?
20072
8 200673
9 20062
10 200620
11 20041
12 20014

About Brian R. Kirsch

Brian R. Kirsch is a scholar working on Ocean Engineering, Water Science and Technology and Global and Planetary Change, having authored 12 papers that have together received 459 indexed citations. Recurring topics across this work include Water resources management and optimization (7 papers), Water Systems and Optimization (4 papers), Water-Energy-Food Nexus Studies (3 papers), Flood Risk Assessment and Management (2 papers), Hydrology and Watershed Management Studies (2 papers), Hydrology and Drought Analysis (2 papers), Influenza Virus Research Studies (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Ocean Engineering (330 citations), Water Science and Technology (213 citations) and Civil and Structural Engineering (151 citations). Brian R. Kirsch has collaborated with scholars based in United States and Mexico. Frequent co-authors include Gregory W. Characklis, Patrick M. Reed, Joseph Kasprzyk, C. T. Kelley, Harrison B. Zeff, Laura Zimmerman, David L. Bartlett, Kyle S. Enger, Philip B. Bedient and R. M. Maxwell. Their work appears in journals such as Water Resources Research, Environmental Modelling & Software and Journal of Water Resources Planning and Management.

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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