Ron Musick

612 total citations
17 papers, 159 citations indexed

About

Ron Musick is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ron Musick has authored 17 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Ron Musick's work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (5 papers) and Advanced Data Storage Technologies (4 papers). Ron Musick is often cited by papers focused on Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (5 papers) and Advanced Data Storage Technologies (4 papers). Ron Musick collaborates with scholars based in United States, Germany and Canada. Ron Musick's co-authors include Terence Critchlow, Johannes Fürnkranz, Michael Bowling, Thore Graepel, Stuart Russell, Robert R. Snapp, T. Šlezak, Krzysztof Fidelis, Tom Slezak and Byung Seok Lee and has published in prestigious journals such as Information Sciences, Machine Learning and ACM SIGMOD Record.

In The Last Decade

Ron Musick

16 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Musick United States 7 70 61 46 26 22 17 159
Olivier Curé France 6 112 1.6× 69 1.1× 28 0.6× 55 2.1× 26 1.2× 30 160
Manolis Gergatsoulis Greece 8 127 1.8× 79 1.3× 45 1.0× 51 2.0× 18 0.8× 32 180
Allen Luniewski United States 4 111 1.6× 152 2.5× 73 1.6× 79 3.0× 15 0.7× 11 203
Herman J. ter Horst Netherlands 4 144 2.1× 87 1.4× 21 0.5× 81 3.1× 25 1.1× 5 178
Andreas Heuer Germany 6 72 1.0× 88 1.4× 56 1.2× 37 1.4× 20 0.9× 58 166
Gerald Haesendonck Belgium 5 122 1.7× 52 0.9× 20 0.4× 54 2.1× 17 0.8× 7 157
P. Sreenivasa Kumar India 8 125 1.8× 94 1.5× 66 1.4× 80 3.1× 16 0.7× 35 209
Akmal B. Chaudhri United States 6 86 1.2× 93 1.5× 47 1.0× 49 1.9× 5 0.2× 17 153
Catherine Dolbear United Kingdom 8 171 2.4× 28 0.5× 60 1.3× 56 2.2× 9 0.4× 12 211
Chris Ré United States 4 152 2.2× 98 1.6× 109 2.4× 47 1.8× 17 0.8× 7 234

Countries citing papers authored by Ron Musick

Since Specialization
Citations

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

Fields of papers citing papers by Ron Musick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Musick

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

All Works

17 of 17 papers shown
1.
Bowling, Michael, Johannes Fürnkranz, Thore Graepel, & Ron Musick. (2006). Special Issue on Machine Learning and Games. 1 indexed citations
2.
Bowling, Michael, Johannes Fürnkranz, Thore Graepel, & Ron Musick. (2006). Machine learning and games. Machine Learning. 63(3). 211–215. 41 indexed citations
3.
Critchlow, Terence, et al.. (2003). The framework for approximate queries on simulation data. Information Sciences. 157. 3–20. 4 indexed citations
4.
Adam, Nabil R., Terence Critchlow, & Ron Musick. (2002). Detecting data and schema changes in scientific documents. 4. 160–170. 4 indexed citations
5.
Lee, Byung Seok, Robert R. Snapp, Ron Musick, & Terence Critchlow. (2002). Metadata models for ad hoc queries on terabyte-scale scientific simulations. Journal of the Brazilian Computer Society. 8(1). 5–15. 2 indexed citations
6.
Lee, Byung Suk, Robert R. Snapp, Ron Musick, & Terence Critchlow. (2001). Ad hoc Query Support for Very Large Scientific Data: the Metadata Approach.. 199–212. 2 indexed citations
7.
Snapp, Robert R., et al.. (2001). Ad hoc Query Support for Very Large Simulation Mesh Data: the Metadata Approach. University of North Texas Digital Library (University of North Texas). 2 indexed citations
8.
Snapp, Robert R., et al.. (2001). Toward a query language on simulation mesh data: an object-oriented approach. 242–249. 4 indexed citations
9.
Abdulla, Ghaleb, Terence Critchlow, Roy T. Kamimura, et al.. (2001). Approximate ad-hoc query engine for simulation data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 255–256. 9 indexed citations
10.
Critchlow, Terence, Ron Musick, & Tom Slezak. (2001). Experiences applying meta-data to bioinformatics. Information Sciences. 139(1-2). 3–17. 8 indexed citations
11.
Critchlow, Terence, et al.. (2000). DataFoundry: information management for scientific data. IEEE Transactions on Information Technology in Biomedicine. 4(1). 52–57. 26 indexed citations
12.
Musick, Ron & Terence Critchlow. (1999). Practical lessons in supporting large-scale computational science. ACM SIGMOD Record. 28(4). 49–57. 27 indexed citations
13.
Stolorz, Paul & Ron Musick. (1998). Scalable High Performance Computing for Knowledge Discovery and Data Mining. 2 indexed citations
14.
Critchlow, Terence, et al.. (1998). Meta-data based mediator generation. University of North Texas Digital Library (University of North Texas). 168–176. 7 indexed citations
15.
Stolorz, Paul & Ron Musick. (1997). Editorial. Data Mining and Knowledge Discovery. 1(4). 339–341. 1 indexed citations
16.
Musick, Ron. (1996). Rethinking the learning of belief network probabilities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 120–125. 2 indexed citations
17.
Musick, Ron & Stuart Russell. (1992). How long will it take. National Conference on Artificial Intelligence. 466–471. 17 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

Breakdown of academic impact, for papers by Olivier Curé Breakdown of academic impact, for papers by Manolis Gergatsoulis Breakdown of academic impact, for papers by Allen Luniewski Breakdown of academic impact, for papers by Herman J. ter Horst Breakdown of academic impact, for papers by Andreas Heuer Breakdown of academic impact, for papers by Gerald Haesendonck Breakdown of academic impact, for papers by P. Sreenivasa Kumar Breakdown of academic impact, for papers by Akmal B. Chaudhri Breakdown of academic impact, for papers by Catherine Dolbear Breakdown of academic impact, for papers by Chris Ré
Rankless by CCL
2026