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.
Mapping the landscape of sustainable HCI
2010555 citationsCarl DiSalvo, Phoebe Sengers et al.profile →
Sustainably unpersuaded
2012356 citationsHrönn Brynjarsdóttir, Carl DiSalvo et al.profile →
Infrastructuring and the formation of publics in participatory design
2013352 citationsChristopher A. Le Dantec, Carl DiSalvoSocial Studies of Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Carl DiSalvo'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 DiSalvo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl DiSalvo more than expected).
This network shows the impact of papers produced by Carl DiSalvo. 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 DiSalvo. The network helps show where Carl DiSalvo may publish in the future.
Co-authorship network of co-authors of Carl DiSalvo
This figure shows the co-authorship network connecting the top 25 collaborators of Carl DiSalvo.
A scholar is included among the top collaborators of Carl DiSalvo 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 DiSalvo. Carl DiSalvo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shapiro, Ben Rydal, et al.. (2022). “Bettering Data”: The Role of Everyday Language and Visualization in Critical Novice Data Work. SHILAP Revista de lepidopterología.4 indexed citations
DiSalvo, Carl. (2015). Disseminating Research through Design - Challenges and Opportunities Learned. Constructivist Foundations. 11(1). 22–23.2 indexed citations
9.
DiSalvo, Betsy & Carl DiSalvo. (2014). Designing for Democracy in Education: Participatory Design and the Learning Sciences.. ICLS.19 indexed citations
10.
DiSalvo, Carl, et al.. (2014). Making public things. 2397–2406.123 indexed citations
11.
Dantec, Christopher A. Le & Carl DiSalvo. (2013). Infrastructuring and the formation of publics in participatory design. Social Studies of Science. 43(2). 241–264.352 indexed citations breakdown →
Hamner, Emily, Tom Lauwers, Debra Bernstein, Illah Nourbakhsh, & Carl DiSalvo. (2008). Robot Diaries: Broadening Participation in the Computer Science Pipeline through Social Technical Exploration.. National Conference on Artificial Intelligence. 38–43.40 indexed citations
Nourbakhsh, Illah, Carl DiSalvo, Emily Hamner, Tom Lauwers, & Debra Bernstein. (2007). Robot Diaries: An Interdisciplinary Collaboration to Design and Evaluate Educational Robotics.. National Conference on Artificial Intelligence. 56–58.2 indexed citations
18.
Forlizzi, Jodi & Carl DiSalvo. (2006). Service robots in the domestic environment. Human-Robot Interaction.9 indexed citations
DiSalvo, Carl, et al.. (2005). Social tag: finding the person with the pink hat. National Conference on Artificial Intelligence. 1726–1727.1 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.