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.
Toward a science of learning systems: a research agenda for the high-functioning Learning Health System
Countries citing papers authored by Carl A. Gunter
Since
Specialization
Citations
This map shows the geographic impact of Carl A. Gunter'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 Carl A. Gunter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl A. Gunter more than expected).
This network shows the impact of papers produced by Carl A. Gunter. 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 Carl A. Gunter. The network helps show where Carl A. Gunter may publish in the future.
Co-authorship network of co-authors of Carl A. Gunter
This figure shows the co-authorship network connecting the top 25 collaborators of Carl A. Gunter.
A scholar is included among the top collaborators of Carl A. Gunter 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 Carl A. Gunter. Carl A. Gunter 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.
Qian, Jingyu, et al.. (2020). See No Evil: Phishing for Permissions with False Transparency.. USENIX Security Symposium. 415–432.11 indexed citations
Zhu, Quanyan, Carl A. Gunter, & Tamer Başar. (2012). Tragedy of anticommons in digital right management of medical records. USENIX Security Symposium. 10–10.2 indexed citations
8.
Green, Jeff, et al.. (2011). Reconstructing hash reversal based proof of work schemes. 10–10.7 indexed citations
Gunter, Carl A., et al.. (2004). DoS Protection for Reliably Authenticated Broadcast.. Network and Distributed System Security Symposium.32 indexed citations
Gunter, Carl A., Elsa L. Gunter, Michael Jackson, & Pamela Zave. (2000). A Reference Model for Requirements and Specifications. 189.130 indexed citations
14.
Gunter, Carl A.. (1992). The mixed powerdomain. Theoretical Computer Science. 103(2). 311–334.24 indexed citations
15.
Gunter, Carl A., et al.. (1991). The common order-theoretic structure of version spaces and ATMS's. ScholarlyCommons (University of Pennsylvania). 500–505.11 indexed citations
16.
Breazu-Tannen, Val, Thierry Coquand, Carl A. Gunter, & Andre Scedrov. (1991). Inheritance as implicit coercion. Information and Computation. 93(1). 172–221.114 indexed citations
17.
Coquand, Thierry, Carl A. Gunter, & Glynn Winskel. (1989). Domain theoretic models of polymorphism. Information and Computation. 81(2). 123–167.45 indexed citations
18.
Tannen, Val, Thierry Coquand, Carl A. Gunter, & Andre Scedrov. (1989). INHERITANCE AND EXPLICIT COERCION (Preliminary Report). 112–129.7 indexed citations
19.
Gunter, Carl A. & Achim Jung. (1988). Coherence and Consistency in Domains (Extended Outline). ScholarlyCommons (University of Pennsylvania). 309–317.7 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.