Daniel Nurmi

3.0k total citations · 1 hit paper
28 papers, 1.8k citations indexed

About

Daniel Nurmi is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Daniel Nurmi has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 19 papers in Information Systems and 9 papers in Hardware and Architecture. Recurrent topics in Daniel Nurmi's work include Distributed and Parallel Computing Systems (22 papers), Cloud Computing and Resource Management (19 papers) and Parallel Computing and Optimization Techniques (8 papers). Daniel Nurmi is often cited by papers focused on Distributed and Parallel Computing Systems (22 papers), Cloud Computing and Resource Management (19 papers) and Parallel Computing and Optimization Techniques (8 papers). Daniel Nurmi collaborates with scholars based in United States, Australia and United Kingdom. Daniel Nurmi's co-authors include Rich Wolski, Dmitrii Zagorodnov, Graziano Obertelli, Sunil Soman, Lamia Youseff, John Brevik, Adriana Iamnitchi, Ian Foster, Tobias Höllerer and Anirban Mandal and has published in prestigious journals such as IEEE Systems Journal, Journal of Parallel and Distributed Computing and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Daniel Nurmi

28 papers receiving 1.6k citations

Hit Papers

The Eucalyptus Open-Source Cloud-Computing System 2009 2026 2014 2020 2009 250 500 750 1000
What are hit papers?

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.

  1. The Eucalyptus Open-Source Cloud-Computing System
    2009 1.2k citations Daniel Nurmi, Rich Wolski et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Nurmi United States 16 1.6k 1.4k 294 234 131 28 1.8k
Alistair Veitch United States 18 1.4k 0.9× 686 0.5× 49 0.2× 270 1.2× 199 1.5× 35 1.6k
S. Masoud Sadjadi United States 15 739 0.5× 772 0.5× 87 0.3× 123 0.5× 559 4.3× 73 1.2k
Marc Shapiro France 14 1.2k 0.8× 520 0.4× 55 0.2× 355 1.5× 310 2.4× 68 1.5k
Mike Spreitzer United States 15 1.4k 0.9× 941 0.7× 42 0.1× 108 0.5× 170 1.3× 32 1.5k
Sara Alspaugh United States 11 808 0.5× 744 0.5× 54 0.2× 133 0.6× 104 0.8× 14 1.0k
Badrish Chandramouli United States 18 855 0.5× 521 0.4× 110 0.4× 120 0.5× 289 2.2× 68 1.1k
Lorin Hochstein United States 16 489 0.3× 510 0.4× 148 0.5× 168 0.7× 163 1.2× 45 836
Albert Reuther United States 10 1.5k 1.0× 1.1k 0.7× 153 0.5× 841 3.6× 130 1.0× 35 1.7k
Adam J. Oliner United States 15 1.2k 0.8× 583 0.4× 41 0.1× 127 0.5× 464 3.5× 21 1.4k
Umar Farooq Minhas United States 20 851 0.5× 665 0.5× 37 0.1× 188 0.8× 304 2.3× 33 1.2k

Countries citing papers authored by Daniel Nurmi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nurmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nurmi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Nurmi. A scholar is included among the top collaborators of Daniel Nurmi 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 Nurmi. Daniel Nurmi 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.
Nurmi, Daniel, Rich Wolski, Graziano Obertelli, et al.. (2009). Eucalyptus: an open-source cloud computing infrastructure. Journal of Physics Conference Series. 180. 12051–12051. 22 indexed citations
2.
Nurmi, Daniel, Rich Wolski, & John Brevik. (2009). Probabilistic Reservation Services for Large-Scale Batch-Scheduled Systems. IEEE Systems Journal. 3(1). 6–24. 3 indexed citations
3.
Ramakrishnan, Lavanya, Charles Koelbel, Yang-Suk Kee, et al.. (2009). VGrADS. 1–12. 55 indexed citations
4.
Nurmi, Daniel, Rich Wolski, Graziano Obertelli, et al.. (2009). The Eucalyptus Open-Source Cloud-Computing System. 124–131. 1167 indexed citations breakdown →
5.
Kee, Yang-Suk, Carl Kesselman, Daniel Nurmi, & Rich Wolski. (2008). Enabling personal clusters on demand for batch resources using commodity software. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–7. 14 indexed citations
6.
Nurmi, Daniel, Rich Wolski, & John Brevik. (2008). VARQ. 75–86. 18 indexed citations
7.
Nurmi, Daniel, John Brevik, & Rich Wolski. (2007). QBETS. ACM SIGMETRICS Performance Evaluation Review. 35(1). 379–380. 4 indexed citations
8.
Nurmi, Daniel, John Brevik, & Rich Wolski. (2007). QBETS. 379–380. 55 indexed citations
9.
Brevik, John, Daniel Nurmi, & Rich Wolski. (2007). Using Model-based Clustering to Improve Predictions for Queueing Delay on Parallel Machines. Parallel Processing Letters. 17(1). 21–46. 3 indexed citations
10.
11.
Brevik, John, Daniel Nurmi, & Rich Wolski. (2006). Predicting Bounds on Queuing Delay in Space-shared Computing Environments. 949. 213–224. 13 indexed citations
12.
Wolski, Rich, Daniel Nurmi, John Brevik, Henri Casanova, & Andrew A. Chien. (2005). Models and Modeling Infrastructures for Global Computational Platforms. 23. 224a–224a. 6 indexed citations
13.
DiVerdi, Stephen, Daniel Nurmi, & Tobias Höllerer. (2004). A framework for generic inter-application interaction for 3D AR environments. IEE Review. 86–93. 10 indexed citations
14.
Nurmi, Daniel, et al.. (2004). ARWin - a desktop augmented reality Window Manager. 19 indexed citations
15.
DiVerdi, Stephen, Daniel Nurmi, & Tobias Höllerer. (2003). ARWin - a desktop augmented reality Window Manager. 298–299. 20 indexed citations
16.
Desai, Nirmit, et al.. (2003). Clusters as large-scale development facilities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8. 54–63. 4 indexed citations
17.
Nurmi, Daniel, et al.. (2003). Scalable cluster administration - Chiba City I approach and lessons learned. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 215–221. 6 indexed citations
18.
Iamnitchi, Adriana, Ian Foster, & Daniel Nurmi. (2003). A peer-to-peer approach to resource location in grid environments. 419–419. 117 indexed citations
19.
Iamnitchi, Adriana, Ian Foster, & Daniel Nurmi. (2002). A Peer-to-Peer Approach to Resource Discovery in Grid Environments. 21 indexed citations
20.
Ross, Robert, et al.. (2001). A case study in application I/O on Linux clusters. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11–11. 31 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.

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