Evan Sparks
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 5%
- Information Systems and Management top 5%
- Co-authors
- Ameet TalwalkarMichael J. FranklinHang QiTim KraskaMichael I. JordanShivaram VenkataramanDaniel HaasBenjamin Recht
- Topics
- Parallel Computing and Optimization Techniques (4 papers)Cloud Computing and Resource Management (4 papers)Data Stream Mining Techniques (4 papers)
- Journals
- IEEE Transactions on Big DataThe Journal of Defense Modeling and Simulation Applications Methodology TechnologyarXiv (Cornell University)
- Partner nations
- United StatesAustralia
In The Last Decade
Evan Sparks
12 papers receiving 450 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 281
- Information Systems 165
- Computer Networks and Communications 160
- Computer Vision and Pattern Recognition 149
- Information Systems and Management 65
Countries citing papers authored by Evan Sparks
This map shows the geographic impact of Evan Sparks'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 Evan Sparks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Sparks more than expected).
Fields of papers citing papers by Evan Sparks
This network shows the impact of papers produced by Evan Sparks. 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 Evan Sparks. The network helps show where Evan Sparks may publish in the future.
Co-authorship network of co-authors of Evan Sparks
This figure shows the co-authorship network connecting the top 25 collaborators of Evan Sparks. A scholar is included among the top collaborators of Evan Sparks 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 Evan Sparks. Evan Sparks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Random projection design for scalable implicit smoothing of randomly observed stochastic processes | 1 |
| 3 | Paleo: A Performance Model for Deep Neural Networks | 81 |
| 4 | 11 | |
| 5 | 75 | |
| 6 | 68 | |
| 7 | End-to-End Large Scale Machine Learning with KeystoneML | 5 |
| 8 | 23 | |
| 9 | The Birth of the American Bankers Association: Born into the 'Common Sorrow' of Recession, ABA Laid a Foundation for Future Growth, Prosperity and Financial Stability | 0 |
| 10 | linalg: Matrix Computations in Apache Spark | 5 |
| 11 | 96 | |
| 12 | 33 | |
| 13 | 90 |
About Evan Sparks
Evan Sparks is a scholar working on Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 13 papers that have together received 492 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Cloud Computing and Resource Management (4 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Computational Mathematics (6 citations), Information Systems and Management (65 citations) and Hardware and Architecture (62 citations). Evan Sparks has collaborated with scholars based in United States and Australia. Frequent co-authors include Ameet Talwalkar, Michael J. Franklin, Hang Qi, Tim Kraska, Michael I. Jordan, Shivaram Venkataraman, Daniel Haas, Benjamin Recht, Tomer Kaftan and Joseph E. Gonzalez. Their work appears in journals such as IEEE Transactions on Big Data, The Journal of Defense Modeling and Simulation Applications Methodology Technology and arXiv (Cornell 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.