Chris J. Milne

15 total papers · 941 total citations
11 papers, 761 citations indexed

About

Chris J. Milne is a scholar working on Pollution, Geochemistry and Petrology and Environmental Chemistry. According to data from OpenAlex, Chris J. Milne has authored 11 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pollution, 3 papers in Geochemistry and Petrology and 3 papers in Environmental Chemistry. Recurrent topics in Chris J. Milne's work include Radioactive element chemistry and processing (3 papers), Heavy metals in environment (3 papers) and Mine drainage and remediation techniques (3 papers). Chris J. Milne is often cited by papers focused on Radioactive element chemistry and processing (3 papers), Heavy metals in environment (3 papers) and Mine drainage and remediation techniques (3 papers). Chris J. Milne collaborates with scholars based in United Kingdom, Netherlands and Switzerland. Chris J. Milne's co-authors include Iso Christl, David G. Kinniburgh, Ruben Kretzschmar, Daren C. Gooddy, Luuk K. Koopal, W.H. van Riemsdijk, Marc F. Benedetti, Daniel R. S. Middleton, R. M. Lark and Michael J. Watts and has published in prestigious journals such as Environmental Science & Technology, Geochimica et Cosmochimica Acta and Sports Medicine.

In The Last Decade

Chris J. Milne

11 papers receiving 735 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chris J. Milne	297	179	164	150	134	11	761
H. Kerndorff	289 1.0×	152 0.8×	105 0.6×	154 1.0×	114 0.9×	14	670
Elisabeth Neubauer	257 0.9×	105 0.6×	183 1.1×	164 1.1×	133 1.0×	18	903
Ksenija Namjesnik-Dejanović	157 0.5×	124 0.7×	148 0.9×	107 0.7×	149 1.1×	12	648
Seunghun Kang	247 0.8×	171 1.0×	90 0.5×	73 0.5×	131 1.0×	14	673
Edward M. Perdue	202 0.7×	151 0.8×	200 1.2×	104 0.7×	117 0.9×	14	756
Marie Ponthieu	475 1.6×	171 1.0×	181 1.1×	242 1.6×	71 0.5×	16	870
Andrew S. Madison	194 0.7×	168 0.9×	115 0.7×	371 2.5×	88 0.7×	14	781
Christine Laskov	192 0.6×	173 1.0×	238 1.5×	108 0.7×	70 0.5×	13	720
Qunhui Zhou	183 0.6×	319 1.8×	156 1.0×	111 0.7×	298 2.2×	6	906
Paul Borer	130 0.4×	108 0.6×	186 1.1×	203 1.4×	138 1.0×	13	719

Countries citing papers authored by Chris J. Milne

Since Specialization

Citations

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

Fields of papers citing papers by Chris J. Milne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. Milne. 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 Chris J. Milne. The network helps show where Chris J. Milne may publish in the future.

Co-authorship network of co-authors of Chris J. Milne

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

All Works

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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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