Daniel Ellard

718 citations
23 papers · 530 · h-index 13

Impact in

Papers in

Daniel Ellard

20 papers receiving 479 citations

Peers

Daniel Ellard
Comparison fields: 5 of 33
  • Computer Networks and Communications 471
  • Hardware and Architecture 80
  • Information Systems 150
  • Artificial Intelligence 147
  • Signal Processing 35
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Ellard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ellard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniel Ellard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Ellard Line = papers co-authored together Daniel Ellard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Passive NFS tracing of email and research workloads
2003137
2
Decoy Routing: Toward Unblockable Internet Communication
201185
3 200461
4
New NFS Tracing Tools and Techniques for System Analysis
200335
5 200529
6
NFS tricks and benchmarking traps
200323
7
FlexVol: flexible, efficient file volume virtualization in WAFL
200821
8 201521
9 200220
10
Attribute-Based Prediction of File Properties
200317
11
Trace-based analyses and optimizations for network storage servers
200415
12
DTN IP Neighbor Discovery (IPND)
201514
13
The Utility of File Names
200313
14 200512
15 200511
16
An NFS Trace Player for File System Evaluation
20035
17
The India protocol - Project report
19973
18
DISP: Practical, Efficient, Secure, and Fault Tolerant Data Storage for Distributed Systems
20033
19 20193
20
Receipt-Free Secure Elections
20032

About Daniel Ellard

Daniel Ellard is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Computational Theory and Mathematics, having authored 23 papers that have together received 530 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (16 papers), Caching and Content Delivery (10 papers), Distributed systems and fault tolerance (7 papers), Parallel Computing and Optimization Techniques (6 papers), Distributed and Parallel Computing Systems (3 papers), Cellular Automata and Applications (2 papers), Cloud Computing and Resource Management (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (471 citations), Hardware and Architecture (80 citations), Information Systems (150 citations), Artificial Intelligence (147 citations) and Signal Processing (35 citations). Daniel Ellard has collaborated with scholars based in United States. Frequent co-authors include Margo Seltzer, Jonathan Ledlie, Eno Thereska, Gregory R. Ganger, Michael P. Mesnier, Alden W. Jackson, W. Timothy Strayer, Christine E. Jones, Josh Karlin and Tzi‐cker Chiueh. Their work appears in journals such as ACM Transactions on Storage, ACM SIGMETRICS Performance Evaluation Review, ACM SIGOPS Operating Systems Review, USENIX Annual Technical Conference and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).

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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