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.
This map shows the geographic impact of Brian Baptie'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 Baptie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Baptie more than expected).
This network shows the impact of papers produced by Brian Baptie. 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 Baptie. The network helps show where Brian Baptie may publish in the future.
Co-authorship network of co-authors of Brian Baptie
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Baptie.
A scholar is included among the top collaborators of Brian Baptie 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 Baptie. Brian Baptie is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Marra, Giuseppe, Cecilia Clivati, Richard Luckett, et al.. (2019). A global network for underwater earthquake detection using the existing submarine optical fibre network. EGU General Assembly Conference Abstracts. 5473.1 indexed citations
7.
Hammond, J. O. S., Richard England, Nicholas Rawlinson, et al.. (2019). The future of passive seismic acquisition. Astronomy & Geophysics. 60(2). 2.37–2.42.11 indexed citations
Marra, Giuseppe, Cecilia Clivati, Richard Luckett, et al.. (2018). Ultrastable laser interferometry for earthquake detection with terrestrial and submarine cables. Science. 361(6401). 486–490.237 indexed citations breakdown →
10.
Schlaphorst, David, Elena Melekhova, J. M. Kendall, et al.. (2018). Crustal Structure Variation Along the Lesser Antilles Arc Inferred from Seismology and Petrology. EGUGA. 15778.1 indexed citations
Schlaphorst, David, J. M. Kendall, Jon Blundy, et al.. (2014). Observations and modeling of the crustal structure and Moho strength variation along the Lesser Antilles Arc. 2014 AGU Fall Meeting. 2014.1 indexed citations
14.
Galetti, Erica, et al.. (2013). Transdimensional Love-wave tomography of the British Isles. EGUGA. 13193.1 indexed citations
15.
Ottemöller, Lars, S. Sargeant, & Brian Baptie. (2009). The ML 5.2 Lincolnshire earthquake in 2008: A high stress drop event. EGU General Assembly Conference Abstracts. 9770.
16.
Curtis, A. R., et al.. (2008). Chicken or Egg? Turning Earthquakes Into Virtual Seismometers. AGU Fall Meeting Abstracts. 2008.1 indexed citations
17.
Sargeant, S., Lars Ottemöller, & Brian Baptie. (2008). A Comparison of two Recent Damaging Earthquakes in the UK. AGUFM. 2008.1 indexed citations
18.
Baptie, Brian, et al.. (2003). The Manchester earthquake swarm of October 2002. EAEJA. 10286.4 indexed citations
19.
Young, S. R., Paul Cole, Eliza S. Calder, et al.. (1999). Dome collapse and vulcanian explosive activity, September to October 1997. MVO Special Report 5. Archive ouverte UNIGE (University of Geneva).1 indexed citations
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.