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.
This map shows the geographic impact of Nir Shavit'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 Nir Shavit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Shavit more than expected).
This network shows the impact of papers produced by Nir Shavit. 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 Nir Shavit. The network helps show where Nir Shavit may publish in the future.
Co-authorship network of co-authors of Nir Shavit
This figure shows the co-authorship network connecting the top 25 collaborators of Nir Shavit.
A scholar is included among the top collaborators of Nir Shavit 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 Nir Shavit. Nir Shavit 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.
Meirovitch, Yaron, et al.. (2025). Analysis of smart imaging runtime. Han-guk hyeonmigyeong hakoeji/Applied microscopy. 55(1). 10–10.
2.
Witvliet, Daniel, Ben Mulcahy, James K. Mitchell, et al.. (2021). Connectomes across development reveal principles of brain maturation. Nature. 596(7871). 257–261.200 indexed citations breakdown →
3.
Rosenfeld, Amir, et al.. (2020). A Constructive Prediction of the Generalization Error Across Scales. International Conference on Learning Representations.7 indexed citations
Lichtman, Jeff W., Hanspeter Pfister, & Nir Shavit. (2014). The big data challenges of connectomics. Nature Neuroscience. 17(11). 1448–1454.131 indexed citations
8.
Alistarh, Dan, Patrick Eugster, Maurice Herlihy, Alexander Matveev, & Nir Shavit. (2014). StackTrack. 1–14.39 indexed citations
9.
Matveev, Alexander & Nir Shavit. (2013). Reduced hardware transactions: a new approach to hybrid transactional memory. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
10.
Herlihy, Maurice & Nir Shavit. (2012). The Art of Multiprocessor Programming, Revised Reprint. DIAL (Catholic University of Leuven).104 indexed citations
11.
Herlihy, Maurice, et al.. (2009). The Art of Multiprocessor Programming : 並行プログラミングの原理から実践まで.16 indexed citations
Heller, Steve, Maurice Herlihy, Victor Luchangco, et al.. (2005). A Lazy Concurrent List-Based Set Algorithm.2 indexed citations
14.
Aiello, William, Costas Busch, Maurice Herlihy, et al.. (2000). Supporting Increment and Decrement Operations in Balancing Networks.. 2000.3 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.