David R.C. Hill

2.4k total citations
61 papers, 640 citations indexed

About

David R.C. Hill is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, David R.C. Hill has authored 61 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 12 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in David R.C. Hill's work include Simulation Techniques and Applications (17 papers), Advanced Data Storage Technologies (10 papers) and Algorithms and Data Compression (6 papers). David R.C. Hill is often cited by papers focused on Simulation Techniques and Applications (17 papers), Advanced Data Storage Technologies (10 papers) and Algorithms and Data Compression (6 papers). David R.C. Hill collaborates with scholars based in France, United States and Germany. David R.C. Hill's co-authors include Bertrand Dumont, Patrick Coquillard, Ziad El Bitar, Vincent Breton, Brian Wichmann, Irène Buvat, Alexandre Muzy, D. Lazaro, Jean de Vaugelas and Raphaël Martin and has published in prestigious journals such as PLoS ONE, Mathematics of Computation and Physics in Medicine and Biology.

In The Last Decade

David R.C. Hill

56 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R.C. Hill France 15 139 112 111 90 89 61 640
Daniel G. Brooks United States 8 81 0.6× 136 1.2× 86 0.8× 59 0.7× 16 0.2× 17 766
Guoqing Liu China 16 57 0.4× 61 0.5× 27 0.2× 21 0.2× 28 0.3× 114 923
A. Tsoularis United Kingdom 5 103 0.7× 69 0.6× 65 0.6× 56 0.6× 10 0.1× 16 796
Evgenia Dimitriadou Austria 8 58 0.4× 72 0.6× 37 0.3× 30 0.3× 35 0.4× 14 925
Sean P. Cornelius United States 9 67 0.5× 33 0.3× 61 0.5× 28 0.3× 10 0.1× 18 986
Pasquale Pagano Italy 19 178 1.3× 126 1.1× 43 0.4× 68 0.8× 9 0.1× 75 919
Guido Tack Australia 13 89 0.6× 84 0.8× 178 1.6× 12 0.1× 10 0.1× 40 568
László Szeidl Hungary 13 392 2.8× 122 1.1× 168 1.5× 21 0.2× 5 0.1× 40 1.0k
Feng Xue China 20 198 1.4× 244 2.2× 142 1.3× 8 0.1× 140 1.6× 86 1.9k
Marco A. R. Ferreira United States 15 75 0.5× 198 1.8× 72 0.6× 44 0.5× 14 0.2× 51 951

Countries citing papers authored by David R.C. Hill

Since Specialization
Citations

This map shows the geographic impact of David R.C. Hill'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.C. Hill 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.C. Hill more than expected).

Fields of papers citing papers by David R.C. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R.C. Hill

This figure shows the co-authorship network connecting the top 25 collaborators of David R.C. Hill. A scholar is included among the top collaborators of David R.C. Hill 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.C. Hill. David R.C. Hill 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.
Hill, David R.C., et al.. (2024). Reproducibility, Replicability and Repeatability: A survey of reproducible research with a focus on high performance computing. Computer Science Review. 53. 100655–100655. 6 indexed citations
2.
Hill, David R.C., et al.. (2024). Random Numbers for Machine Learning: A Comparative Study of Reproducibility and Energy Consumption. SPIRE - Sciences Po Institutional REpository. 4(1). 26–38.
3.
Hill, David R.C., et al.. (2023). Evaluating Simultaneous Multi-threading and Affinity Performance for Reproducible Parallel Stochastic Simulation. SPIRE - Sciences Po Institutional REpository. 91–110.
4.
Hill, David R.C.. (2016). Virtual Reality Headsets Make Their Way Into Construction and Design. Civil engineering. 86(1). 37–37. 1 indexed citations
5.
Hill, David R.C.. (2015). Parallel Random Numbers, Simulation, and Reproducible Research. Computing in Science & Engineering. 17(4). 66–71. 7 indexed citations
6.
Maire, Vincent, Nicolas Gross, David R.C. Hill, et al.. (2013). Disentangling Coordination among Functional Traits Using an Individual-Centred Model: Impact on Plant Performance at Intra- and Inter-Specific Levels. PLoS ONE. 8(10). e77372–e77372. 50 indexed citations
7.
Passerat‐Palmbach, Jonathan, et al.. (2012). Pseudo-random streams for distributed and parallel stochastic simulations on GP-GPU. Journal of Simulation. 6(3). 141–151. 5 indexed citations
8.
Maire, Vincent, Jean‐François Soussana, Nicolas Gross, et al.. (2012). Plasticity of plant form and function sustains productivity and dominance along environment and competition gradients. A modeling experiment with Gemini. Ecological Modelling. 254. 80–91. 19 indexed citations
9.
Muzy, Alexandre, Franck Varenne, Bernard P. Zeigler, et al.. (2012). Refounding of the activity concept? Towards a federative paradigm for modeling and simulation. SIMULATION. 89(2). 156–177. 11 indexed citations
10.
Muzy, Alexandre & David R.C. Hill. (2011). What is new with the activity world view in modeling and simulation?: using activity as a unifying guide for modeling and simulation. Winter Simulation Conference. 2887–2899. 8 indexed citations
11.
Muzy, Alexandre, David R.C. Hill, & Bernard P. Zeigler. (2010). Activity-Based Modeling and Simulation. 35(6). 135–6. 1 indexed citations
12.
Silvani, Xavier, et al.. (2009). A software framework for fine grain parallelization of cellular models with OpenMP: Application to fire spread. Environmental Modelling & Software. 24(7). 819–831. 21 indexed citations
13.
Hill, David R.C., et al.. (2008). A comparison of algorithms for a complete backtranslation of oligopeptides. International Journal of Computational Biology and Drug Design. 1(1). 26–26. 2 indexed citations
14.
Gignoux, Jacques, Ian Davies, & David R.C. Hill. (2005). 3Worlds: a new platform for simulating ecological systems.. HAL (Le Centre pour la Communication Scientifique Directe). 49–64. 1 indexed citations
15.
Muzy, Alexandre, et al.. (2004). Modelling and simulation of ecological propagation processes: application to fire spread. Environmental Modelling & Software. 20(7). 827–842. 26 indexed citations
16.
17.
Aussem, Alex & David R.C. Hill. (1999). Wedding connectionist and algorithmic modelling towards forecasting Caulerpa taxifolia development in the north-western Mediterranean sea. Ecological Modelling. 120(2-3). 225–236. 7 indexed citations
18.
Fishwick, Paul A., David R.C. Hill, & Roger Smith. (1998). Proceedings of the 1998 International Conference on Web-Based Modeling & Simulation : simulation and modeling technology for the twenty-first century : 1998 Western MultiConference, San Diego, California, January 11-14, 1998, Catamaran Resort Hotel,. 11 indexed citations
19.
Wichmann, Brian & David R.C. Hill. (1987). Building a random-number generator. BYTE archive. 12(3). 127–128. 41 indexed citations
20.
Hill, David R.C.. (1975). On Comparing Adams and Natural Spline Multistep Formulas. Mathematics of Computation. 29(131). 741–741.

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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