Daniel Alexander Ford

1.4k total citations · 1 hit paper
31 papers, 965 citations indexed

About

Daniel Alexander Ford is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Alexander Ford has authored 31 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Alexander Ford's work include Advanced Data Storage Technologies (14 papers), Cellular Automata and Applications (7 papers) and Algorithms and Data Compression (7 papers). Daniel Alexander Ford is often cited by papers focused on Advanced Data Storage Technologies (14 papers), Cellular Automata and Applications (7 papers) and Algorithms and Data Compression (7 papers). Daniel Alexander Ford collaborates with scholars based in United States, Canada and United Kingdom. Daniel Alexander Ford's co-authors include Tobin J. Lehman, Pete Wyckoff, Carrie Grimes, Luiz André Barroso, Van‐Anh Truong, Florentina I. Popovici, Sean Quinlan, Murray Stokely, W.K. Seow and Trevor Holcombe and has published in prestigious journals such as PLoS ONE, ACM SIGMOD Record and ACM Transactions on Information Systems.

In The Last Decade

Daniel Alexander Ford

28 papers receiving 906 citations

Hit Papers

Availability in globally distributed storage systems 2010 2026 2015 2020 2010 100 200 300
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. Availability in globally distributed storage systems
    2010 398 citations Daniel Alexander Ford, Florentina I. Popovici et al. Operating Systems Design and Implementation 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 Alexander Ford United States 11 626 258 183 84 79 31 965
Rômulo Silva de Oliveira Brazil 12 158 0.3× 30 0.1× 35 0.2× 5 0.1× 26 0.3× 83 461
Mohamed Zahran United States 14 228 0.4× 85 0.3× 144 0.8× 82 1.0× 48 579
Reinhard Schwarz Germany 8 238 0.4× 71 0.3× 52 0.3× 8 0.1× 31 591
Xiaofan Yang China 14 234 0.4× 48 0.2× 43 0.2× 26 0.3× 40 744
J.-F. Paris United States 19 1.4k 2.2× 173 0.7× 85 0.5× 11 0.1× 129 1.6k
Susanne Graf France 14 70 0.1× 43 0.2× 257 1.4× 11 0.1× 2 0.0× 52 817
Javier Aracil Spain 12 377 0.6× 57 0.2× 145 0.8× 22 0.3× 82 484
Miller United States 12 40 0.1× 56 0.2× 146 0.8× 13 0.2× 1 0.0× 75 519
James H. Hill United States 11 151 0.2× 185 0.7× 145 0.8× 2 0.0× 54 410
Bingzhe Li United States 14 316 0.5× 90 0.3× 190 1.0× 2 0.0× 70 566

Countries citing papers authored by Daniel Alexander Ford

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Alexander Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Alexander Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Alexander Ford. A scholar is included among the top collaborators of Daniel Alexander Ford 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 Alexander Ford. Daniel Alexander Ford 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.
Edlund, Stefan, Michal Bromberg, Gabriel Chodick, et al.. (2011). A SpatioTemporal Model for Seasonal Influenza. 6(1). 9. 1 indexed citations
2.
Ford, Daniel Alexander, et al.. (2011). Infomax control for acoustic exploration of objects by a mobile robot. National Conference on Artificial Intelligence. 22–28. 11 indexed citations
3.
Seow, W.K., et al.. (2011). Comparison of enamel defects in the primary and permanent dentitions of children from a low-fluoride District in Australia.. PubMed. 33(3). 207–12. 53 indexed citations
4.
Ford, Daniel Alexander, Florentina I. Popovici, Murray Stokely, et al.. (2010). Availability in globally distributed storage systems. Operating Systems Design and Implementation. 61–74. 398 indexed citations breakdown →
5.
Edlund, Stefan, Michal Bromberg, Gabriel Chodick, et al.. (2009). A SpatioTemporal Model for Influenza. 6(1). 160. 6 indexed citations
6.
Lessler, Justin, James H. Kaufman, Daniel Alexander Ford, & Judith V. Douglas. (2009). The Cost of Simplifying Air Travel When Modeling Disease Spread. PLoS ONE. 4(2). e4403–e4403. 11 indexed citations
7.
Seow, W.K., et al.. (2008). Common dental conditions associated with dental erosion in schoolchildren in Australia.. PubMed. 29(1). 33–9. 81 indexed citations
8.
Ford, Daniel Alexander, et al.. (2006). An extensible spatial and temporal epidemiological modelling system. International Journal of Health Geographics. 5(1). 4–4. 31 indexed citations
9.
Kaufman, James H., et al.. (2004). The Social Contract Core. Electronic Commerce Research. 5(1). 141–165. 5 indexed citations
10.
Ford, Daniel Alexander & Jussi Myllymaki. (2002). A log-stuctured organization for tertiary storage. 20–27. 3 indexed citations
11.
Ford, Daniel Alexander, et al.. (1999). jCentral: Search the Web for Java. World Conference on WWW and Internet. 1999(1). 626–631. 2 indexed citations
12.
Ford, Daniel Alexander. (1992). Performance optimizations for optical disc architectures. 1 indexed citations
13.
Ford, Daniel Alexander & Stavros Christodoulakis. (1991). Optimizing Random Retrievals from CLV format Optical Disks. Very Large Data Bases. 413–422. 6 indexed citations
14.
Ford, Daniel Alexander & Stavros Christodoulakis. (1991). Optimal placement of high-probability randomly retrieved blocks on CLV optical discs. ACM Transactions on Information Systems. 9(1). 1–30. 10 indexed citations
15.
Christodoulakis, Stavros & Daniel Alexander Ford. (1989). File organizations and access methods for CLV disks. 152–159. 2 indexed citations
16.
Christodoulakis, Stavros & Daniel Alexander Ford. (1989). Retrieval performance versus disc space utilization on WORM optical discs. ACM SIGMOD Record. 18(2). 306–314. 7 indexed citations
17.
Christodoulakis, Stavros & Daniel Alexander Ford. (1989). File organizations and access methods for CLV disks. ACM SIGIR Forum. 23(SI). 152–159.
18.
Christodoulakis, Stavros & Daniel Alexander Ford. (1989). Retrieval performance versus disc space utilization on WORM optical discs. 306–314. 6 indexed citations
19.
Christodoulakis, Stavros, et al.. (1988). Optical Mass Storage Systems and their Performance.. IEEE Data(base) Engineering Bulletin. 11. 14–25. 5 indexed citations
20.
Christodoulakis, Stavros & Daniel Alexander Ford. (1988). Performance analysis and fundamental performance tradeoffs for CLV optical disks. ACM SIGMOD Record. 17(3). 286–294. 12 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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