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.
From dwarf spheroidals to cD galaxies: simulating the galaxy population in a ΛCDM cosmology
2011793 citationsQi Guo, Simon D. M. White et al.Monthly Notices of the Royal Astronomical Societyprofile →
Galaxy formation in the Planck cosmology – I. Matching the observed evolution of star formation rates, colours and stellar masses
2015453 citationsBruno Henriques, Simon D. M. White et al.Monthly Notices of the Royal Astronomical Societyprofile →
This map shows the geographic impact of Gerard Lemson'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 Gerard Lemson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Lemson more than expected).
This network shows the impact of papers produced by Gerard Lemson. 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 Gerard Lemson. The network helps show where Gerard Lemson may publish in the future.
Co-authorship network of co-authors of Gerard Lemson
This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Lemson.
A scholar is included among the top collaborators of Gerard Lemson 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 Gerard Lemson. Gerard Lemson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Haine, Thomas W. N., Renske Gelderloos, Gerard Lemson, et al.. (2021). Is Computational Oceanography Coming of Age?. Bulletin of the American Meteorological Society. 102(8). E1481–E1493.10 indexed citations
6.
Taghizadeh-Popp, Manuchehr, et al.. (2020). SciServer: a Collaborative Workspace for Data Analysis, Sharing and Storage in the Cloud. 522. 279.1 indexed citations
7.
Raddick, M. Jordan, et al.. (2019). SciServerCompute: Bring Analysis Close to the Data. ASPC. 521. 749.2 indexed citations
8.
Lemson, Gerard, et al.. (2017). SciServer: An Online Collaborative Environment for Big Data in Research and Education. 229.2 indexed citations
Lemson, Gerard, M. Meneghetti, G. Meylan, Margarita Petkova, & S. Pires. (2014). A PCA-based automated finder for galaxy-scale strong lenses.24 indexed citations
13.
Overzier, Roderik, Gerard Lemson, Raúl E. Angulo, et al.. (2012). The Millennium Run Observatory: first light. Monthly Notices of the Royal Astronomical Society. 428(1). 778–803.39 indexed citations
14.
Guo, Qi, Simon D. M. White, Michael Boylan-Kolchin, et al.. (2011). From dwarf spheroidals to cD galaxies: simulating the galaxy population in a ΛCDM cosmology. Monthly Notices of the Royal Astronomical Society. 413(1). 101–131.793 indexed citations breakdown →
Demleitner, Markus, Gerard Lemson, T. Rauch, et al.. (2007). The German Astrophysical Virtual Observatory (GAVO): Archives and Applications, Status and Services. 328(7). 713.1 indexed citations
Reiser, Angelika, Alfons Kemper, H. M. Adorf, et al.. (2004). Datenstrom-Management für e-Science mit StreamGlobe.. Datenbank-Spektrum. 11. 14–22.1 indexed citations
Somerville, Rachel S., Gerard Lemson, Tsafrir Kolatt, & Avishai Dekel. (2000). Evaluating approximations for halo merging histories. Monthly Notices of the Royal Astronomical Society. 316(3). 479–490.41 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.