Citations per year, relative to Jeremy Conlin Jeremy Conlin (= 1×)
peers
Kenichi Tada
Countries citing papers authored by Jeremy Conlin
Since
Specialization
Citations
This map shows the geographic impact of Jeremy Conlin'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 Jeremy Conlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Conlin more than expected).
This network shows the impact of papers produced by Jeremy Conlin. 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 Jeremy Conlin. The network helps show where Jeremy Conlin may publish in the future.
Co-authorship network of co-authors of Jeremy Conlin
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Conlin.
A scholar is included among the top collaborators of Jeremy Conlin 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 Jeremy Conlin. Jeremy Conlin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Conlin, Jeremy, et al.. (2017). Open Source Release of NJOY2016 and NJOY21. Transactions of the American Nuclear Society. 116. 693–696.4 indexed citations
Gardiner, S., et al.. (2013). Testing of ENDF71x: A new ACE-formatted neutron data library based on ENDF/B-VII.1. 659–670.1 indexed citations
7.
Conlin, Jeremy, Donald Parsons, Forrest B. Brown, et al.. (2012). Continuous-S(α, β) Capability in MCNP [Slides]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
Conlin, Jeremy, Donald Parsons, Forrest B. Brown, et al.. (2012). Continuous-S(alpha,beta) Capability in MCNP. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
Conlin, Jeremy & Stephen J Tobin. (2010). Predicting fissile content of spent nuclear fuel assemblies with the passive neutron Albedo reactivity technique and Monte Carlo code emulation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 indexed citations
13.
Conlin, Jeremy. (2007). COMPUTATIONAL BENCHMARK OF THE DOPPLER REACTIVITY DEFECT.5 indexed citations
14.
Conlin, Jeremy, Wei Ji, John C. Lee, & William R. Martin. (2005). Pseudo material construct for coupled neutronic-thermal-hydraulic analysis of VHTGR. Transactions of the American Nuclear Society. 92. 225–227.37 indexed citations
15.
Ji, Wei, et al.. (2005). Neutronic analysis to support validation of safety analysis codes for the VHTR. Transactions of the American Nuclear Society. 93(1). 931–933.2 indexed citations
16.
Ji, Wei, Jeremy Conlin, William R. Martin, John C. Lee, & Forrest B. Brown. (2005). Explicit modeling of particle fuel for the very-high temperature gas-cooled reactor. Transactions of the American Nuclear Society. 92. 236–238.15 indexed citations
17.
Brown, Forrest B., William R. Martin, Wei Ji, Jeremy Conlin, & John C. Lee. (2005). STOCHASTIC GEOMETRY AND HTGR MODELING WITH MCNP5.18 indexed citations
18.
No, Hee Cheon, Chang Ho Oh, John C. Lee, et al.. (2005). Very-high-temperature gas-cooled reactors: Progress and challenges.1 indexed citations
19.
Ji, Wei, Jeremy Conlin, William R. Martin, & John C. Lee. (2004). Reactor physics analysis of the VHTGR core. Transactions of the American Nuclear Society. 91. 556–558.7 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.