Sean Eilert

500 citations
11 papers · 300 · h-index 6

Impact in

Papers in

Journals
eScholarship (California Digital Library) (2 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
Partner nations
United StatesThailand

In The Last Decade

Sean Eilert

11 papers receiving 282 citations

Peers

Sean Eilert
Comparison fields: 5 of 25
  • Hardware and Architecture 151
  • Computer Networks and Communications 131
  • Electrical and Electronic Engineering 180
  • Artificial Intelligence 41
  • Computer Vision and Pattern Recognition 21
Replace Hsiang-Jen Tsai with:
Hsiang-Jen Tsai Taiwan
S. Karen Khatamifard United States
Julie Oh United States
Yuhwan Ro South Korea
Sam Likun Xi United States
Amir Morad Israel
Matt Poremba United States
Weikang Qiao United States
Bob Brennan South Korea
Mohammad Khavari Tavana United States
Sean Eilert relative to Hsiang-Jen Tsai Taiwan Hsiang-Jen Tsai's profile →
Citations per field
00.5×1.5×2.3×
Hsiang-Jen Tsai · 1×
Citations per year

Countries citing papers authored by Sean Eilert

Since Specialization
Citations

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

Fields of papers citing papers by Sean Eilert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2014128
2 200983
3 202232
4 202028
5 201810
6 20148
7 20103
8 20213
9 20213
10 20221
11 20221

About Sean Eilert

Sean Eilert is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Molecular Biology and Artificial Intelligence, having authored 11 papers that have together received 300 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (5 papers), Advanced Memory and Neural Computing (4 papers), Interconnection Networks and Systems (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Virus Research Studies (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Phase-change materials and chalcogenides (1 paper). The work is most often cited by research in Hardware and Architecture (151 citations), Computer Networks and Communications (131 citations), Electrical and Electronic Engineering (180 citations), Artificial Intelligence (41 citations) and Computer Vision and Pattern Recognition (21 citations). Sean Eilert has collaborated with scholars based in United States and Thailand. Frequent co-authors include Naresh R. Shanbhag, Mingu Kang, Min-Sun Keel, Ameen Akel, Anand Sivasubramaniam, Yuan Xie, Shuangchen Li, Kevin Skadron, Mircea R. Stan and Elaheh Sadredini. Their work appears in journals such as eScholarship (California Digital Library) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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