Todd Sproull

977 total citations
15 papers, 727 citations indexed

About

Todd Sproull is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Todd Sproull has authored 15 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 5 papers in Artificial Intelligence. Recurrent topics in Todd Sproull's work include Network Packet Processing and Optimization (6 papers), Caching and Content Delivery (4 papers) and Interconnection Networks and Systems (3 papers). Todd Sproull is often cited by papers focused on Network Packet Processing and Optimization (6 papers), Caching and Content Delivery (4 papers) and Interconnection Networks and Systems (3 papers). Todd Sproull collaborates with scholars based in United States. Todd Sproull's co-authors include Sarang Dharmapurikar, John W. Lockwood, John Lockwood, Praveen Thaggikuppe Krishnamurthy, David E. Taylor, David B. Parlour, Haoyu Song, Jeff Turner, Gordon Brebner and Jon Turner and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Micro and Proceedings - IEEE Aerospace Conference.

In The Last Decade

Todd Sproull

14 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Sproull United States 8 633 531 390 70 37 15 727
Geoff Pike United States 6 373 0.6× 368 0.7× 206 0.5× 122 1.7× 85 2.3× 6 542
Chad R. Meiners United States 15 848 1.3× 743 1.4× 380 1.0× 26 0.4× 54 1.5× 26 928
Pravir Singh Gupta United States 4 869 1.4× 846 1.6× 407 1.0× 14 0.2× 23 0.6× 6 975
Ashish Venkat United States 11 211 0.3× 257 0.5× 160 0.4× 71 1.0× 100 2.7× 27 387
Domenico Ficara Italy 9 261 0.4× 178 0.3× 155 0.4× 17 0.2× 21 0.6× 35 310
Fabio Vitucci Italy 9 251 0.4× 180 0.3× 151 0.4× 14 0.2× 20 0.5× 28 291
Juan del Cuvillo United States 7 208 0.3× 181 0.3× 233 0.6× 104 1.5× 160 4.3× 8 395
Jih-Kwon Peir United States 14 510 0.8× 441 0.8× 153 0.4× 22 0.3× 75 2.0× 67 609
Yandong Mao China 6 683 1.1× 427 0.8× 206 0.5× 131 1.9× 367 9.9× 9 831
John C. Gyllenhaal United States 13 389 0.6× 575 1.1× 144 0.4× 16 0.2× 104 2.8× 29 648

Countries citing papers authored by Todd Sproull

Since Specialization
Citations

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

Fields of papers citing papers by Todd Sproull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Sproull

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Sproull. A scholar is included among the top collaborators of Todd Sproull 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 Todd Sproull. Todd Sproull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Sproull, Todd, et al.. (2021). Machine Learning on the Move. 1347–1347. 1 indexed citations
2.
Sproull, Todd, et al.. (2020). Going Native with Your Web Dev Skills. 1392–1392.
3.
Sproull, Todd, et al.. (2020). Machine Learning on the Move. 1389–1389. 1 indexed citations
4.
Sproull, Todd & Roger D. Chamberlain. (2010). Distributed Algorithms for the Placement of Network Services. International Conference on Internet Computing. 146–152. 1 indexed citations
5.
Sproull, Todd, et al.. (2008). Intelligent Avionics with Advanced Clustering. Proceedings - IEEE Aerospace Conference. 1–12. 1 indexed citations
6.
Sproull, Todd, et al.. (2007). Management and Service Discovery in Satellite and Avionic Networks. 22. 1–13. 2 indexed citations
7.
Sproull, Todd, et al.. (2005). Mutable codesign for embedded protocol processing. 51–56. 12 indexed citations
8.
Sproull, Todd, et al.. (2005). Sensor fusion and correlation. 316–316. 3 indexed citations
9.
Sproull, Todd, et al.. (2005). Mutable Codesign for Embedded Protocol Processing. 299–300. 9 indexed citations
10.
Song, Haoyu, et al.. (2005). Snort offloader: a reconfigurable hardware NIDS filter. 493–498. 35 indexed citations
11.
Dharmapurikar, Sarang, Praveen Thaggikuppe Krishnamurthy, Todd Sproull, & John Lockwood. (2004). Deep packet inspection using parallel Bloom filters. 44–51. 225 indexed citations
12.
Dharmapurikar, Sarang, et al.. (2004). Deep packet inspection using parallel bloom filters. IEEE Micro. 24(1). 52–61. 340 indexed citations
13.
Taylor, David E., John W. Lockwood, Todd Sproull, Jon Turner, & David B. Parlour. (2003). Scalable IP lookup for programmable routers. Open Scholarship Institutional Repository (Washington University in St. Louis). 2. 562–571. 35 indexed citations
14.
Taylor, David E., Jeff Turner, John W. Lockwood, Todd Sproull, & David B. Parlour. (2003). Scalable IP lookup for internet routers. IEEE Journal on Selected Areas in Communications. 21(4). 522–534. 42 indexed citations
15.
Sproull, Todd, John W. Lockwood, & David E. Taylor. (2003). Control and configuration software for a reconfigurable networking hardware platform. 45–54. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Geoff Pike Breakdown of academic impact, for papers by Chad R. Meiners Breakdown of academic impact, for papers by Pravir Singh Gupta Breakdown of academic impact, for papers by Ashish Venkat Breakdown of academic impact, for papers by Domenico Ficara Breakdown of academic impact, for papers by Fabio Vitucci Breakdown of academic impact, for papers by Juan del Cuvillo Breakdown of academic impact, for papers by Jih-Kwon Peir Breakdown of academic impact, for papers by Yandong Mao Breakdown of academic impact, for papers by John C. Gyllenhaal
Rankless by CCL
2026