Countries citing papers authored by Mark S. Miller
Since
Specialization
Citations
This map shows the geographic impact of Mark S. Miller'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 Mark S. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Miller more than expected).
This network shows the impact of papers produced by Mark S. Miller. 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 Mark S. Miller. The network helps show where Mark S. Miller may publish in the future.
Co-authorship network of co-authors of Mark S. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Miller.
A scholar is included among the top collaborators of Mark S. Miller 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 Mark S. Miller. Mark S. Miller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Miller, Mark S., Daniel von Dincklage, Vuk Ercegovac, & Brian Chin. (2017). Uncanny Valleys in Declarative Language Design. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).3 indexed citations
2.
Noble, James, Andrew P. Black, Kim B. Bruce, Michael Homer, & Mark S. Miller. (2016). The left hand of equals. 5. 224–237.3 indexed citations
Chin, Brian, Daniel von Dincklage, Vuk Ercegovac, et al.. (2015). Yedalog: Exploring Knowledge at Scale. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 32. 78.13 indexed citations
5.
Cutsem, Tom Van & Mark S. Miller. (2012). On the design of the ECMAScript Reflection API.6 indexed citations
Cutsem, Tom Van & Mark S. Miller. (2010). Proxies. ACM SIGPLAN Notices. 45(12). 59–72.10 indexed citations
8.
Meyerovich, Leo A., Adrienne Porter Felt, & Mark S. Miller. (2010). Object views. 721–730.22 indexed citations
9.
Miller, Mark S., et al.. (2007). Delegating responsibility in digital systems: Horton's who done it?. University of North Texas Digital Library (University of North Texas). 2.3 indexed citations
10.
Shapiro, Jonathan & Mark S. Miller. (2006). Robust composition: towards a unified approach to access control and concurrency control.146 indexed citations
11.
Karp, Alan H., et al.. (2006). Avoid the Trap of Unrealistic Expectations. Communications of the ACM. 49(11). 11–12.1 indexed citations
12.
Miller, Mark S., et al.. (2005). 72 Hours to DonutLab: A PlanetLab with No Center.2 indexed citations
13.
Miller, Mark S., et al.. (2005). Concurrency among strangers: programming in E as plan coordination. 195–229.59 indexed citations
Miller, Mark S., et al.. (1991). The State of Quality in Logistics. International Journal of Physical Distribution & Logistics Management. 21(6). 32–47.30 indexed citations
16.
Miller, Mark S., et al.. (1988). Logical secrets. 140–161.2 indexed citations
17.
Miller, Mark S., et al.. (1987). Channels: A Generalization of Streams.. International Conference on Lightning Protection. 446–463.5 indexed citations
18.
Bobrow, Daniel G., et al.. (1987). Definition groups: making sources into first-class objects. MIT Press eBooks. 129–146.6 indexed citations
19.
Kahn, Ken, et al.. (1987). Vulcan: logical concurrent objects. MIT Press eBooks. 274–112.13 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.