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.
High ― Level Synthesis: Introduction to Chip and System Design
1992677 citationsDaniel D. Gajski, Allen C.-H. Wu et al.profile →
High — Level Synthesis
1992527 citationsDaniel D. Gajski, Allen C.-H. Wu et al.profile →
Hypertool: a programming aid for message-passing systems
Countries citing papers authored by Daniel D. Gajski
Since
Specialization
Citations
This map shows the geographic impact of Daniel D. Gajski'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 Daniel D. Gajski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Gajski more than expected).
Fields of papers citing papers by Daniel D. Gajski
This network shows the impact of papers produced by Daniel D. Gajski. 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 Daniel D. Gajski. The network helps show where Daniel D. Gajski may publish in the future.
Co-authorship network of co-authors of Daniel D. Gajski
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Gajski.
A scholar is included among the top collaborators of Daniel D. Gajski 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 Daniel D. Gajski. Daniel D. Gajski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gajski, Daniel D., et al.. (1995). Comparison of manual and automatic behavioral synthesis on MPEG algorithm. eScholarship (California Digital Library).9 indexed citations
9.
Gajski, Daniel D., et al.. (1995). Software performance estimation for pipeline and superscalar processors. eScholarship (California Digital Library).3 indexed citations
Wu, Min‐You & Daniel D. Gajski. (1989). Hypertool: A Programming Aid for Multicomputers.. Proceedings of the International Conference on Parallel Processing. 15–18.1 indexed citations
14.
Bic, Lubomir, et al.. (1989). Improving parallel program performance using critical path analysis. eScholarship (California Digital Library).3 indexed citations
Wu, Min‐You & Daniel D. Gajski. (1987). A Programming Aid for Message-passing Systems. 328–332.15 indexed citations
17.
Peir, Jih-Kwon & Daniel D. Gajski. (1986). CAMP: A Programming Aide for Multiprocessors.. Proceedings of the International Conference on Parallel Processing. 475–482.7 indexed citations
Gajski, Daniel D., David J. Kuck, Duncan H. Lawrie, & Ahmed Sameh. (1983). Cedar : A Large Scale Multiprocessor.. IEEE Computer Society Press eBooks. 524–529.16 indexed citations
20.
Gajski, Daniel D., et al.. (1982). Iterative algorithms for tridiagonal matrices on a WSI-multiprocessor. Proceedings of the International Conference on Parallel Processing. 82–89.6 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.