Jeff Daily

1.1k total citations
31 papers, 598 citations indexed

About

Jeff Daily is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Hardware and Architecture. According to data from OpenAlex, Jeff Daily has authored 31 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 7 papers in Control and Systems Engineering and 6 papers in Hardware and Architecture. Recurrent topics in Jeff Daily's work include Distributed and Parallel Computing Systems (5 papers), Interconnection Networks and Systems (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Jeff Daily is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Interconnection Networks and Systems (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Jeff Daily collaborates with scholars based in United States. Jeff Daily's co-authors include Jason Fuller, Dheepak Krishnamurthy, Bryan Palmintier, Steve Smith, Philip Top, Andrew R. Fisher, Selim Ciraci, Abhinav Vishnu, Khushbu Agarwal and Laurentiu Marinovici and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and BMC Bioinformatics.

In The Last Decade

Jeff Daily

29 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Daily United States 11 292 288 149 121 80 31 598
You Xu United States 13 220 0.8× 85 0.3× 628 4.2× 103 0.9× 88 1.1× 25 877
Raphael C. S. Machado Brazil 11 102 0.3× 180 0.6× 144 1.0× 30 0.2× 89 1.1× 86 499
Feng Shu China 13 193 0.7× 135 0.5× 179 1.2× 230 1.9× 58 0.7× 59 861
Yoginder S. Dandass United States 13 51 0.2× 166 0.6× 254 1.7× 90 0.7× 97 1.2× 24 498
Maurício Ayala-Rincón Brazil 13 75 0.3× 88 0.3× 79 0.5× 93 0.8× 318 4.0× 99 587
Qie Hu United States 10 58 0.2× 201 0.7× 117 0.8× 85 0.7× 65 0.8× 13 405
Horst F. Wedde Germany 14 200 0.7× 136 0.5× 282 1.9× 9 0.1× 103 1.3× 83 579
Monte Lunacek United States 13 198 0.7× 113 0.4× 24 0.2× 22 0.2× 215 2.7× 33 550
Stojan Denic United States 11 405 1.4× 310 1.1× 126 0.8× 290 2.4× 166 2.1× 34 922
Desong Bian United States 13 628 2.2× 503 1.7× 83 0.6× 11 0.1× 52 0.7× 22 787

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-authorship network of co-authors of Jeff Daily

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Daily. A scholar is included among the top collaborators of Jeff Daily 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 Jeff Daily. Jeff Daily 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.
Brayton, Kelly A., et al.. (2019). Whole Proteome Clustering of 2,307 Proteobacterial Genomes Reveals Conserved Proteins and Significant Annotation Issues. Frontiers in Microbiology. 10. 383–383. 6 indexed citations
2.
Strube, J., et al.. (2019). Scaling studies for deep learning in Liquid Argon Time Projection Chamber event classification. SHILAP Revista de lepidopterología. 214. 6016–6016.
3.
Gawande, Nitin, Jeff Daily, Charles Siegel, Nathan R. Tallent, & Abhinav Vishnu. (2018). Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Generation Computer Systems. 108. 1162–1172. 20 indexed citations
4.
Top, Philip, Stephen M. Smith, Jason Fuller, et al.. (2017). Hiearchical Engine for Large Scale Infrastructure Simulation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
5.
Vishnu, Abhinav, et al.. (2017). What does fault tolerant deep learning need from MPI?. 1–11. 7 indexed citations
6.
Hansen, Jacob, Thomas W. Edgar, Jeff Daily, & Di Wu. (2017). Evaluating transactive controls of integrated transmission and distribution systems using the Framework for Network Co-Simulation. 4010–4017. 20 indexed citations
7.
Daily, Jeff. (2016). Parasail: SIMD C library for global, semi-global, and local pairwise sequence alignments. BMC Bioinformatics. 17(1). 81–81. 125 indexed citations
8.
Siegel, Charles, Jeff Daily, & Abhinav Vishnu. (2016). Adaptive neuron apoptosis for accelerating deep learning on large scale systems. 753–762. 2 indexed citations
9.
Tallent, Nathan R., Abhinav Vishnu, Hubertus J. J. van Dam, et al.. (2015). Diagnosing the causes and severity of one-sided message contention. ACM SIGPLAN Notices. 50(8). 130–139. 1 indexed citations
10.
Ciraci, Selim, Jeff Daily, Khushbu Agarwal, et al.. (2014). Synchronization Algorithms for Co-simulation of Power Grid and Communication Networks. 355–364. 11 indexed citations
11.
Daily, Jeff, et al.. (2014). Framework for Network Co-Simulation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
12.
Ciraci, Selim, Jason Fuller, Jeff Daily, Atefe Makhmalbaf, & David Callahan. (2014). A Runtime Verification Framework for Control System Simulation. 3253. 75–84.
13.
Gaustad, Krista, et al.. (2014). A scientific data processing framework for time series NetCDF data. Environmental Modelling & Software. 60. 241–249. 6 indexed citations
14.
Daily, Jeff, Ananth Kalyanaraman, Sriram Krishnamoorthy, & Abhinav Vishnu. (2014). A work stealing based approach for enabling scalable optimal sequence homology detection. Journal of Parallel and Distributed Computing. 79-80. 132–142. 9 indexed citations
15.
Daily, Jeff, Abhinav Vishnu, Bruce Palmer, Hubertus J. J. van Dam, & Darren J. Kerbyson. (2014). On the suitability of MPI as a PGAS runtime. 1–10. 14 indexed citations
16.
Fuller, Jason, et al.. (2013). Communication simulations for power system applications. 28 indexed citations
17.
Daily, Jeff, Sriram Krishnamoorthy, & Ananth Kalyanaraman. (2012). Towards scalable optimal sequence homology detection. 4. 1–8. 3 indexed citations
18.
Daily, Jeff & Robert R. Lewis. (2011). Using the Global Arrays Toolkit to Reimplement NumPy for Distributed Computation. Proceedings of the Python in Science Conferences. 29–35. 5 indexed citations
19.
Krishnamoorthy, Sriram, et al.. (2011). Tolerating correlated failures for generalized Cartesian distributions via bipartite matching. 1–10. 6 indexed citations
20.
Chase, Jared, Karen Schuchardt, George Chin, et al.. (2008). Iterative Workflows for Numerical Simulations in Subsurface Sciences. 461–464. 2 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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