Jeff Daily

1.1k citations
31 papers · 598 · h-index 11

Impact in

Papers in

Jeff Daily

29 papers receiving 585 citations

Peers

Jeff Daily
Comparison fields: 5 of 81
  • Control and Systems Engineering 288
  • Hardware and Architecture 61
  • Computer Networks and Communications 149
  • Electrical and Electronic Engineering 292
  • Management Science and Operations Research 48
Replace Horst F. Wedde with:
Horst F. Wedde Germany
You Xu United States
Raphael C. S. Machado Brazil
Yoginder S. Dandass United States
Maurício Ayala-Rincón Brazil
David J. Smith New Zealand
Jianing Chen China
Yicen Liu China
Nasim Soltani United States
Esha Sarkar United States
Jeff Daily relative to Horst F. Wedde Germany Horst F. Wedde's profile →
Citations per field
00.5×10×15×20.3×
Horst F. Wedde · 1×
Citations per year

Countries citing papers authored by Jeff Daily

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Daily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Daily, 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 Jeff Daily Line = papers co-authored together Jeff Daily links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017151
2 2016125
3 201474
4 201751
5 201328
6 201820
7 201720
8 201414
9 201712
10 201411
11 202011
12 201210
13 20149
14 20129
15 20177
16 20196
17 20146
18 20116
19 20115
20 20154

About Jeff Daily

Jeff Daily is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence, having authored 31 papers that have together received 598 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Parallel Computing and Optimization Techniques (5 papers), Interconnection Networks and Systems (5 papers), Genomics and Phylogenetic Studies (4 papers), Smart Grid Energy Management (4 papers), Advanced Neural Network Applications (4 papers), Simulation Techniques and Applications (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Control and Systems Engineering (288 citations), Hardware and Architecture (61 citations), Computer Networks and Communications (149 citations), Electrical and Electronic Engineering (292 citations) and Management Science and Operations Research (48 citations). Jeff Daily has collaborated with scholars based in United States. Frequent co-authors include Jason Fuller, Bryan Palmintier, Dheepak Krishnamurthy, Philip Top, Steve Smith, Andrew R. Fisher, Selim Ciraci, Abhinav Vishnu, Laurentiu Marinovici and Khushbu Agarwal. Their work appears in journals such as Future Generation Computer Systems, ACM SIGPLAN Notices, IET Generation Transmission & Distribution, Environmental Modelling & Software and BMC Bioinformatics.

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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