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.
Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center
2003673 citationsJennifer Casper, Robin R. Murphyprofile →
Countries citing papers authored by Robin R. Murphy
Since
Specialization
Citations
This map shows the geographic impact of Robin R. Murphy'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 Robin R. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin R. Murphy more than expected).
This network shows the impact of papers produced by Robin R. Murphy. 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 Robin R. Murphy. The network helps show where Robin R. Murphy may publish in the future.
Co-authorship network of co-authors of Robin R. Murphy
This figure shows the co-authorship network connecting the top 25 collaborators of Robin R. Murphy.
A scholar is included among the top collaborators of Robin R. Murphy 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 Robin R. Murphy. Robin R. Murphy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Matsuno, Fumitoshi, Noritaka Sato, Kazuyuki Kon, et al.. (2012). Utilization of Robot Systems in Disaster Sites of the Great Eastern Japan Earthquake.. 1–17.1 indexed citations
7.
Groom, Victoria, et al.. (2010). The Social Medium Is the Message.. National Conference on Artificial Intelligence.2 indexed citations
Groom, Victoria, et al.. (2010). A Toolkit for Exploring the Role of Voice in Human-Robot Interaction.. National Conference on Artificial Intelligence.1 indexed citations
10.
Bethel, Cindy L. & Robin R. Murphy. (2010). Emotive Non-Anthropomorphic Robots Perceived as More Calming, Friendly, and Attentive for Victim Management. National Conference on Artificial Intelligence.7 indexed citations
11.
Carlson, Jennifer & Robin R. Murphy. (2006). Use of Dempster-Shafer Conflict Metric to Adapt Sensor Allocation to Unknown Environments.. The Florida AI Research Society. 866–867.5 indexed citations
12.
Carlson, Jennifer & Robin R. Murphy. (2005). Use of dempster-shafer conflict metric to detect interpretation inconsistency. arXiv (Cornell University). 94–103.2 indexed citations
Murphy, Robin R., et al.. (2004). Affective recruitment of distributed heterogeneous agents. National Conference on Artificial Intelligence. 14–19.15 indexed citations
15.
Murphy, Robin R.. (2003). Rescue Robots at the WTC. 106(1019). 794–802.3 indexed citations
16.
Murphy, Robin R., et al.. (2002). AAAI/Robocup-2001 urban search and rescue events: reality and competition. AI Magazine. 23(1). 37–42.24 indexed citations
Bonasso, R. Peter, David Kortenkamp, & Robin R. Murphy. (1998). Mobile robots: a proving ground for artificial intelligence. MIT Press eBooks. 3–18.2 indexed citations
19.
Kortenkamp, David, R. Peter Bonasso, & Robin R. Murphy. (1998). Artificial intelligence and mobile robots: case studies of successful robot systems. MIT Press eBooks.168 indexed citations
20.
Murphy, Robin R., et al.. (1994). Tele-Assistance for Semi-Autonomous Robots. DigitalCommons - CalPoly (California State Polytechnic University). 3251(1). 500–508.4 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.