David R. O’Hallaron

4.3k total citations
91 papers, 2.7k citations indexed

About

David R. O’Hallaron is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, David R. O’Hallaron has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 41 papers in Hardware and Architecture and 15 papers in Artificial Intelligence. Recurrent topics in David R. O’Hallaron's work include Parallel Computing and Optimization Techniques (34 papers), Advanced Data Storage Technologies (20 papers) and Distributed and Parallel Computing Systems (18 papers). David R. O’Hallaron is often cited by papers focused on Parallel Computing and Optimization Techniques (34 papers), Advanced Data Storage Technologies (20 papers) and Distributed and Parallel Computing Systems (18 papers). David R. O’Hallaron collaborates with scholars based in United States, Japan and Switzerland. David R. O’Hallaron's co-authors include Peter A. Dinda, Thomas R. Gross, Jonathan Richard Shewchuk, Omar Ghattas, Jacobo Bielak, Tiankai Tu, Gary L. Miller, James M. Stichnoth, Jaspal Subhlok and Loukas F. Kallivokas and has published in prestigious journals such as IEEE Transactions on Automatic Control, Computer Methods in Applied Mechanics and Engineering and Computer.

In The Last Decade

David R. O’Hallaron

82 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David R. O’Hallaron United States	28	1.6k	785	740	370	297	91	2.7k
Fei Yao China	22	796 0.5×	677 0.9×	190 0.3×	207 0.6×	152 0.5×	60	2.6k
Barbara Chapman United States	19	1.4k 0.9×	1.5k 2.0×	391 0.5×	361 1.0×	43 0.1×	169	2.5k
Norbert Podhorszki United States	22	1.5k 1.0×	630 0.8×	352 0.5×	238 0.6×	443 1.5×	112	2.6k
Robert Manchek United States	11	1.2k 0.8×	939 1.2×	301 0.4×	304 0.8×	25 0.1×	16	2.2k
Vaidy Sunderam United States	24	2.2k 1.4×	1.5k 2.0×	636 0.9×	747 2.0×	19 0.1×	155	3.7k
Adam Beguelin United States	14	1.3k 0.8×	1.0k 1.3×	330 0.4×	299 0.8×	23 0.1×	22	2.2k
Al Geist United States	14	1.3k 0.8×	923 1.2×	329 0.4×	338 0.9×	21 0.1×	31	2.3k
Anshul Gupta United States	19	844 0.5×	697 0.9×	196 0.3×	317 0.9×	22 0.1×	82	1.9k
Nadathur Satish United States	30	2.4k 1.6×	2.1k 2.7×	885 1.2×	1.1k 3.1×	23 0.1×	52	4.2k
Liqiang Wang United States	23	780 0.5×	302 0.4×	410 0.6×	750 2.0×	100 0.3×	125	1.9k

Countries citing papers authored by David R. O’Hallaron

Since Specialization

Citations

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

Fields of papers citing papers by David R. O’Hallaron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. O’Hallaron. 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 David R. O’Hallaron. The network helps show where David R. O’Hallaron may publish in the future.

Co-authorship network of co-authors of David R. O’Hallaron

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tu, Tiankai, David R. O’Hallaron, & Julio López. (2018). The Etree Library: A System for Manipulating Large Octrees on Disk. Figshare. 3 indexed citations

Tu, Tiankai, et al.. (2018). Etree: A Database-Oriented Method for Generating Large Octree Meshes. Figshare. 127–138. 4 indexed citations

Tu, Tiankai & David R. O’Hallaron. (2018). Balance Refinement of Massive Linear Octree Datasets. Figshare.

Kozuch, Michael A., et al.. (2018). Design Tradeoffs in Applying Content Addressable Storage to Enterprise-scale Systems Based on Virtual Machines. Figshare. 6–6. 4 indexed citations

Schlosser, Steven W., et al.. (2008). Materialized community ground models for large-scale earthquake simulation. IEEE International Conference on High Performance Computing, Data, and Analytics. 54. 9 indexed citations

O’Hallaron, David R. & Tiankai Tu. (2008). A scalable database approach to computing delaunay triangulations. 1 indexed citations

Lagar-Cavilla, H. Andrés, Niraj H. Tolia, Eyal de Lara, Mahadev Satyanarayanan, & David R. O’Hallaron. (2007). Interactive resource-intensive applications made easy. 143–163. 42 indexed citations

Ramirez-Guzmán, L., et al.. (2006). Scaling up TeraShake: A 1-Hz Case Study. AGUFM. 2006. 4 indexed citations

Bryant, Randal E. & David R. O’Hallaron. (2003). Computer systems : a programmer's perspective beta version. Prentice Hall eBooks. 11 indexed citations

10.

López, Juan Carlos & David R. O’Hallaron. (2002). Evaluation of a resource selection mechanism for complex network services. 171–180. 17 indexed citations

11.

Bryant, Randal E. & David R. O’Hallaron. (2001). Introducing computer systems from a programmer's perspective. ACM SIGCSE Bulletin. 33(1). 90–94. 2 indexed citations

12.

Dinda, Peter A. & David R. O’Hallaron. (2000). Resource signal prediction and its application to real-time scheduling advisors. Defense Technical Information Center (DTIC). 20 indexed citations

13.

Lowekamp, Bruce, David R. O’Hallaron, & Thomas Groß. (2000). Direct queries for discovering network resource properties in a distributed environment. Cluster Computing. 3(4). 281–291. 4 indexed citations

14.

O’Hallaron, David R., et al.. (1998). Languages, compilers, and run-time systems for scalable computers : 4th International Workshop, LCR '98, Pittsburgh, PA, USA, May 28-30, 1998 : selected papers. Springer eBooks. 7 indexed citations

15.

Feldmann, Anja, Omar Ghattas, James Gilbert, et al.. (1996). Automated Parallel Solution of Unstructured PDE Problems. 3 indexed citations

16.

Subhlok, Jaspal, David R. O’Hallaron, Thomas R. Gross, Peter A. Dinda, & Jon A. Webb. (1994). Communication and memory requirements as the basis for mapping task and data parallel programs. Conference on High Performance Computing (Supercomputing). 330–339. 23 indexed citations

17.

Subhlok, Jaspal, David R. O’Hallaron, & Thomas R. Gross. (1994). Task Parallel Programming in Fx. Defense Technical Information Center (DTIC). 5 indexed citations

18.

Gross, Thomas R., et al.. (1993). Compiling task and data parallel programs for iWarp. ACM SIGPLAN Notices. 28(1). 32–35. 1 indexed citations

19.

Wu, I‐Chen, H. T. Kung, Peter Steenkiste, David R. O’Hallaron, & Gerald L. Thompson. (1993). Multilist Scheduling. A New Parallel Programming Model.. Defense Technical Information Center (DTIC). 5 indexed citations

20.

O’Hallaron, David R., et al.. (1989). Fast Mapping Of A Kalman Filter On Warp. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 977. 196–196. 5 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