Evan Sparks

1.8k total citations
13 papers, 492 citations indexed

About

Evan Sparks is a scholar working on Artificial Intelligence, Information Systems and Hardware and Architecture. According to data from OpenAlex, Evan Sparks has authored 13 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Hardware and Architecture. Recurrent topics in Evan Sparks's work include Parallel Computing and Optimization Techniques (4 papers), Cloud Computing and Resource Management (4 papers) and Data Stream Mining Techniques (4 papers). Evan Sparks is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Cloud Computing and Resource Management (4 papers) and Data Stream Mining Techniques (4 papers). Evan Sparks collaborates with scholars based in United States and Australia. Evan Sparks's 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 and has published in prestigious journals such as IEEE Transactions on Big Data, The Journal of Defense Modeling and Simulation Applications Methodology Technology and arXiv (Cornell University).

In The Last Decade

Evan Sparks

12 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evan Sparks United States	8	281	165	160	149	65	13	492
Hai Jiang United States	14	203 0.7×	261 1.6×	326 2.0×	79 0.5×	24 0.4×	73	567
Reza Farivar United States	9	186 0.7×	201 1.2×	214 1.3×	90 0.6×	15 0.2×	16	428
Chuntao Jiang China	9	182 0.6×	160 1.0×	85 0.5×	146 1.0×	15 0.2×	22	454
Kurt Rohloff United States	19	521 1.9×	259 1.6×	353 2.2×	118 0.8×	15 0.2×	56	887
Fawzy A. Torkey Egypt	8	247 0.9×	339 2.1×	251 1.6×	89 0.6×	17 0.3×	18	575
Dionysios Logothetis United States	14	268 1.0×	473 2.9×	516 3.2×	292 2.0×	75 1.2×	18	831
Alexander Wieder Germany	10	113 0.4×	302 1.8×	512 3.2×	74 0.5×	36 0.6×	18	676
Dirk Habich Germany	14	284 1.0×	248 1.5×	511 3.2×	78 0.5×	50 0.8×	124	672
Carlos A. Varela United States	15	178 0.6×	268 1.6×	522 3.3×	35 0.2×	44 0.7×	76	726

Countries citing papers authored by Evan Sparks

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

Caelli, Terry, et al.. (2018). Analytics for awareness in maritime surveillance: from data to tactical insight. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 16(2). 207–215. 4 indexed citations

Belletti, Francois, Evan Sparks, Alexandre M. Bayen, & Joseph E. Gonzalez. (2017). Random projection design for scalable implicit smoothing of randomly observed stochastic processes. International Conference on Artificial Intelligence and Statistics. 700–708. 1 indexed citations

Qi, Hang, Evan Sparks, & Ameet Talwalkar. (2017). Paleo: A Performance Model for Deep Neural Networks. International Conference on Learning Representations. 81 indexed citations

Zhang, Zhao, Evan Sparks, & Michael J. Franklin. (2017). Diagnosing Machine Learning Pipelines with Fine-grained Lineage. 143–153. 11 indexed citations

Sparks, Evan, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, & Benjamin Recht. (2017). KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. 535–546. 75 indexed citations

Zadeh, Reza Bosagh, Xiangrui Meng, Alexander Ulanov, et al.. (2016). Matrix Computations and Optimization in Apache Spark. 31–38. 68 indexed citations

Sparks, Evan. (2016). End-to-End Large Scale Machine Learning with KeystoneML. eScholarship (California Digital Library). 5 indexed citations

Zhang, Zhao, K. Barbary, Frank Austin Nothaft, et al.. (2016). Kira: Processing Astronomy Imagery Using Big Data Technology. IEEE Transactions on Big Data. 6(2). 369–381. 23 indexed citations

Sparks, Evan. (2015). 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. ABA banking journal. 107(1). 24.

10.

Zadeh, Reza Bosagh, Xiangrui Meng, Burak Yavuz, et al.. (2015). linalg: Matrix Computations in Apache Spark. arXiv (Cornell University). 5 indexed citations

11.

Sparks, Evan, Ameet Talwalkar, Daniel Haas, et al.. (2015). Automating model search for large scale machine learning. 368–380. 96 indexed citations

12.

Zhang, Zhao, K. Barbary, Frank Austin Nothaft, et al.. (2015). Scientific computing meets big data technology: An astronomy use case. 918–927. 33 indexed citations

13.

Sparks, Evan, Ameet Talwalkar, Virginia Smith, et al.. (2013). MLI: An API for Distributed Machine Learning. 1187–1192. 90 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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