John T. Daly

724 citations
14 papers · 418 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Distributed systems and fault tolerance
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Software System Performance and Reliability
    • Age of Information Optimization

Papers in

John T. Daly

13 papers receiving 389 citations

Peers

John T. Daly
Comparison fields: 5 of 49
  • Hardware and Architecture 187
  • Computer Networks and Communications 360
  • Information Systems 153
  • Software 11
  • Electrical and Electronic Engineering 91
Replace Berkin Özıṣıkyılmaz with:
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John T. Daly relative to Berkin Özıṣıkyılmaz United States Berkin Özıṣıkyılmaz's profile →
Citations per field
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Citations per year

Countries citing papers authored by John T. Daly

Since Specialization
Citations

This map shows the geographic impact of John T. Daly'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 John T. Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Daly more than expected).

Fields of papers citing papers by John T. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Daly. 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 John T. Daly. The network helps show where John T. Daly may publish in the future.

Co-authors

The 10 scholars most cited alongside John T. Daly, 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 John T. Daly Line = papers co-authored together John T. Daly links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004321
2 201021
3 198219
4 201215
5 200813
6 20089
7 20049
8
Opportunistic Checkpoint Intervals to Improve System Performance
20083
9 20143
10 20232
11 19711
12 19761
13
Propitious Checkpoint Intervals to Improve System Performance
20091
14 20240

About John T. Daly

John T. Daly is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Management Information Systems and Hardware and Architecture, having authored 14 papers that have together received 418 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (9 papers), Cloud Computing and Resource Management (3 papers), Software Reliability and Analysis Research (2 papers), Distributed and Parallel Computing Systems (2 papers), Advanced Queuing Theory Analysis (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Data Storage Technologies (2 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Hardware and Architecture (187 citations), Computer Networks and Communications (360 citations), Information Systems (153 citations), Software (11 citations) and Electrical and Electronic Engineering (91 citations). John T. Daly has collaborated with scholars based in United States. Frequent co-authors include Nathan DeBardeleben, William M. Jones, Helen B. Daly, Sarah Michalak, Patricia J. Teller, Seetharami Seelam, Rolf Riesen, Andrew G. Moore, J. E. Meyer and Ron A. Oldfield. Their work appears in journals such as Journal of Experimental Psychology General, Studia Mathematica, Future Generation Computer Systems, Transactions of the American Mathematical Society and scholarworks - UTEP (The University of Texas at El Paso).

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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