Chris Barber

109 total papers · 2.7k total citations
62 papers, 1.8k citations indexed

About

Chris Barber is a scholar working on Environmental Engineering, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Chris Barber has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 9 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Chris Barber's work include Groundwater flow and contamination studies (12 papers), Computational Drug Discovery Methods (9 papers) and Groundwater and Isotope Geochemistry (8 papers). Chris Barber is often cited by papers focused on Groundwater flow and contamination studies (12 papers), Computational Drug Discovery Methods (9 papers) and Groundwater and Isotope Geochemistry (8 papers). Chris Barber collaborates with scholars based in United Kingdom, Australia and United States. Chris Barber's co-authors include Greg B. Davis, Philip Kocieński, Matthew Segall, Bradley M. Patterson, Thierry Hanser, Roger P. Dickinson, Robert Engelken, Joseph D. Parker, Jerald B. Johnson and H. R. N. Jones and has published in prestigious journals such as Cell, The Plant Journal and Journal of Medicinal Chemistry.

In The Last Decade

Chris Barber

59 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Chris Barber 393 314 307 302 207 62 1.8k
Sharifuddin M. Zain 261 0.7× 432 1.4× 88 0.3× 140 0.5× 96 0.5× 126 1.9k
Wen Yang 513 1.3× 57 0.2× 89 0.3× 151 0.5× 212 1.0× 115 2.1k
Jingjie Zhang 298 0.8× 300 1.0× 242 0.8× 42 0.1× 94 0.5× 72 2.1k
Anna Liu 576 1.5× 843 2.7× 60 0.2× 55 0.2× 104 0.5× 44 2.3k
Kari Tuppurainen 225 0.6× 223 0.7× 316 1.0× 261 0.9× 189 0.9× 50 1.7k
Qingzhu Zhang 293 0.7× 286 0.9× 76 0.2× 317 1.0× 162 0.8× 114 2.2k
Vishal Tripathi 184 0.5× 313 1.0× 28 0.1× 52 0.2× 124 0.6× 81 1.8k
Chong Dai 154 0.4× 59 0.2× 119 0.4× 104 0.3× 260 1.3× 75 1.5k
Kuan‐Chung Chen 492 1.3× 40 0.1× 134 0.4× 101 0.3× 364 1.8× 80 2.0k
Xiaoxiang Wang 228 0.6× 43 0.1× 146 0.5× 120 0.4× 361 1.7× 107 1.9k

Countries citing papers authored by Chris Barber

Since Specialization
Citations

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

Fields of papers citing papers by Chris Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Barber. A scholar is included among the top collaborators of Chris Barber 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 Barber. Chris Barber 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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