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.
The conformal bootstrap: Theory, numerical techniques, and applications
2019411 citationsDavid Poland, Slava Rychkov et al.Reviews of Modern Physicsprofile →
Solving the 3D Ising model with the conformal bootstrap
2012398 citationsSheer El-Showk, Miguel F. Paulos et al.profile →
Solving the 3d Ising Model with the Conformal Bootstrap II. $$c$$ c -Minimization and Precise Critical Exponents
2014311 citationsSheer El-Showk, Miguel F. Paulos et al.Journal of Statistical Physicsprofile →
Precision islands in the Ising and O(N ) models
2016285 citationsFilip Kos, David Poland et al.Journal of High Energy Physicsprofile →
The analytic bootstrap and AdS superhorizon locality
2013273 citationsDavid Poland, David Simmons–Duffin et al.Journal of High Energy Physicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of David Poland'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 David Poland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Poland more than expected).
This network shows the impact of papers produced by David Poland. 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 David Poland. The network helps show where David Poland may publish in the future.
Co-authorship network of co-authors of David Poland
This figure shows the co-authorship network connecting the top 25 collaborators of David Poland.
A scholar is included among the top collaborators of David Poland 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 David Poland. David Poland is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Poland, David, Slava Rychkov, & Alessandro Vichi. (2019). The conformal bootstrap: Theory, numerical techniques, and applications. Reviews of Modern Physics. 91(1).411 indexed citations breakdown →
13.
Poland, David, Slava Rychkov, & Alessandro Vichi. (2018). The Conformal Bootstrap: Numerical Techniques and Applications. CERN Document Server (European Organization for Nuclear Research).2 indexed citations
14.
Dymarsky, Anatoly, Filip Kos, Petr Kravchuk, David Poland, & David Simmons–Duffin. (2018). The 3d stress-tensor bootstrap. Journal of High Energy Physics. 2018(2).53 indexed citations
15.
Kos, Filip, David Poland, David Simmons–Duffin, & Alessandro Vichi. (2016). Precision islands in the Ising and O(N ) models. Journal of High Energy Physics. 2016(8).285 indexed citations breakdown →
El-Showk, Sheer, Miguel F. Paulos, David Poland, et al.. (2014). Solving the 3d Ising Model with the Conformal Bootstrap II. $$c$$ c -Minimization and Precise Critical Exponents. Journal of Statistical Physics. 157(4-5). 869–914.311 indexed citations breakdown →
18.
Morrissey, David E., David Poland, & Kathryn M. Zurek. (2009). Abelian hidden sectors at a GeV. Journal of High Energy Physics. 2009(7). 50–50.100 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.