Dan Nussbaum

516 total citations
6 papers, 133 citations indexed

About

Dan Nussbaum is a scholar working on Computer Networks and Communications, Hardware and Architecture and Experimental and Cognitive Psychology. According to data from OpenAlex, Dan Nussbaum has authored 6 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Dan Nussbaum's work include Distributed systems and fault tolerance (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Advanced Data Storage Technologies (3 papers). Dan Nussbaum is often cited by papers focused on Distributed systems and fault tolerance (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Advanced Data Storage Technologies (3 papers). Dan Nussbaum collaborates with scholars based in United States. Dan Nussbaum's co-authors include Mark Moir, Kevin Ezra Moore, Yossi Lev, Virendra J. Marathe, Marek Olszewski, Dave Dice, Lawrence A. Crowl, Victor Luchangco, Yang Ni and Peng Wu and has published in prestigious journals such as UR Research (University of Rochester).

In The Last Decade

Dan Nussbaum

6 papers receiving 122 citations

Peers

Dan Nussbaum
Dan Nussbaum
Citations per year, relative to Dan Nussbaum Dan Nussbaum (= 1×) peers Alessia Milani

Countries citing papers authored by Dan Nussbaum

Since Specialization
Citations

This map shows the geographic impact of Dan Nussbaum'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 Dan Nussbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Nussbaum more than expected).

Fields of papers citing papers by Dan Nussbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Nussbaum. 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 Dan Nussbaum. The network helps show where Dan Nussbaum may publish in the future.

Co-authorship network of co-authors of Dan Nussbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Nussbaum. A scholar is included among the top collaborators of Dan Nussbaum 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 Dan Nussbaum. Dan Nussbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Dice, Dave, Yossi Lev, Virendra J. Marathe, et al.. (2010). Simplifying concurrent algorithms by exploiting hardware transactional memory. 325–334. 26 indexed citations
2.
Adl-Tabatabai, Ali-Reza, Victor Luchangco, Virendra J. Marathe, et al.. (2009). Exceptions and transactions in C. 14–14. 2 indexed citations
3.
Moir, Mark, Kevin Ezra Moore, & Dan Nussbaum. (2008). The adaptive transactional memory test platform. 362–362. 27 indexed citations
4.
Luchangco, Victor, Lawrence A. Crowl, Yossi Lev, Dan Nussbaum, & Mark Moir. (2007). Integrating Transactional Memory into C. UR Research (University of Rochester). 13 indexed citations
5.
Nussbaum, Dan, et al.. (2007). PhTM: Phased Transactional Memory. UR Research (University of Rochester). 63 indexed citations
6.
Moir, Mark, et al.. (2005). Hybrid Hardware/Software Transactional Memory. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026