Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Numerical inversion of the laplace transform: a survey and comparison of methods
1979513 citationsBrian Davies, Brian MartinJournal of Computational Physicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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This map shows the geographic impact of Brian Martin'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 Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Martin more than expected).
This network shows the impact of papers produced by Brian Martin. 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 Martin. The network helps show where Brian Martin may publish in the future.
Co-authorship network of co-authors of Brian Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Martin.
A scholar is included among the top collaborators of Brian Martin 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 Brian Martin. Brian Martin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Diesendorf, Mark & Brian Martin. (1984). Optimal generation planning for electricity grids containing wind farms. Research Online (University of Wollongong). 223.
7.
Martin, Brian, et al.. (1983). Wind-load correlation and estimates of the capacity credit of wind power - An empirical investigation. Wind Engineering. 7(2). 79–84.10 indexed citations
Diesendorf, Mark, et al.. (1981). The economic value of wind power in electricity grids. Research Online (University of Wollongong). 127.3 indexed citations
11.
Diesendorf, Mark & Brian Martin. (1980). Integration of wind power into Australian electricity grids without storage - A computer simulation. Wind Engineering. 4(4). 211–226.5 indexed citations
12.
Martin, Brian & Mark Diesendorf. (1980). The capacity credit of wind power - A numerical model. 555–564.7 indexed citations
Martin, Brian & Mark Diesendorf. (1980). Calculating the capacity credit of wind power. Research Online (University of Wollongong). 36.10 indexed citations
Diesendorf, Mark & Brian Martin. (1979). Large scale wind power for Western Australia. Research Online (University of Wollongong). 47.1 indexed citations
Davies, Brian & Brian Martin. (1979). Numerical inversion of the laplace transform: a survey and comparison of methods. Journal of Computational Physics. 33(1). 1–32.513 indexed citations breakdown →
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.