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.
Rheology of Soft Glassy Materials
1997868 citationsPeter Sollich et al.Physical Review Lettersprofile →
Rheological constitutive equation for a model of soft glassy materials
This map shows the geographic impact of Peter Sollich'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 Peter Sollich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sollich more than expected).
This network shows the impact of papers produced by Peter Sollich. 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 Peter Sollich. The network helps show where Peter Sollich may publish in the future.
Co-authorship network of co-authors of Peter Sollich
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Sollich.
A scholar is included among the top collaborators of Peter Sollich 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 Peter Sollich. Peter Sollich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cvetković, Zoran, et al.. (2013). Phoneme Classification in High-Dimensional Linear Feature Domains.. arXiv (Cornell University).2 indexed citations
14.
Sollich, Peter, et al.. (2010). Exact learning curves for Gaussian process regression on large random graphs. Neural Information Processing Systems. 23. 2316–2324.1 indexed citations
15.
Cvetković, Zoran, et al.. (2008). Combined PLP - Acoustic waveform classification for robust phoneme recognition using support vector machines. Research Portal (King's College London). 1–5.3 indexed citations
16.
Ghahramani, Zoubin, et al.. (2006). Bayesian nonparametric latent feature models (with discussion). Cambridge University Engineering Department Publications Database.4 indexed citations
17.
Sollich, Peter. (1999). Probabilistic Methods for Support Vector Machines. Neural Information Processing Systems. 12. 349–355.47 indexed citations
Sollich, Peter. (1998). Learning Curves for Gaussian Processes. Research Portal (King's College London). 11. 344–350.16 indexed citations
20.
Sollich, Peter & David Saad. (1994). Learning from queries for maximum information gain in imperfectly learnable problems. Neural Information Processing Systems. 7. 287–294.15 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.