David G. Kinniburgh

6.1k citations
30 papers · 5.0k indexed · 5 hit papers · h-index 22

David G. Kinniburgh

30 papers receiving 4.8k citations

Hit Papers

Generic NICA−Donnan Model Parameters for Metal-Io...198620261999201220031999198619951996200400600

Peers

David G. Kinniburgh
Comparison fields: 5 of 119
  • Pollution 1.8k
  • Environmental Chemistry 1.3k
  • Water Science and Technology 1.0k
  • Inorganic Chemistry 933
  • Geochemistry and Petrology 903
Replace George R. Helz with:
George R. Helz United States
Bert Allard Sweden
Marcelo J. Avena Argentina
Edward J. O’Loughlin United States
Peter R. Teasdale Australia
Montserrat Filella Switzerland
Stephen E. Cabaniss United States
Laurie S. Balistrieri United States
Stefan B. Haderlein Germany
Yu‐Ping Chin United States
David G. Kinniburgh relative to George R. Helz United States George R. Helz's profile →
Citations per field
00.5×1.5×
George R. Helz · 1×
Citations per year

Countries citing papers authored by David G. Kinniburgh

Since Specialization
Citations

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

Fields of papers citing papers by David G. Kinniburgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Kinniburgh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 1
3 22
4 276
5 120
6
PhreePlot: Creating graphical output with PHREEQC
85
7 36
8 68
9 4
10 107
11 47
12
Generic NICA−Donnan Model Parameters for Metal-Ion Binding by Humic Substancesbreakdown →
695
13 152
14 11
15 101
16 57
17 76
18
General purpose adsorption isothermsbreakdown →
585
19 99
20 122

About David G. Kinniburgh

David G. Kinniburgh is a scholar working on Environmental Chemistry, Geochemistry and Petrology and Oceanography, having authored 30 papers that have together received 5.0k indexed citations. Recurring topics across this work include Heavy metals in environment (7 papers), Marine and coastal ecosystems (7 papers) and Isotope Analysis in Ecology (6 papers). The work is most often cited by research in Geochemistry and Petrology (903 citations), Pollution (1.8k citations) and Environmental Chemistry (1.3k citations). David G. Kinniburgh has collaborated with scholars based in United Kingdom, Netherlands and Canada. Frequent co-authors include W.H. van Riemsdijk, Luuk K. Koopal, Christopher J. Milne, Marc F. Benedetti, Edward Tipping, Pauline Smedley, Michal Borkovec, Marcelo J. Avena, Christopher J. Milne and Chris J. Milne. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and Geochimica et Cosmochimica Acta.

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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