Mitchell Trott

487 citations
12 papers · 300 · h-index 7

Impact in

Papers in

Mitchell Trott

12 papers receiving 276 citations

Peers

Mitchell Trott
Comparison fields: 5 of 41
  • Computer Networks and Communications 182
  • Human-Computer Interaction 29
  • Signal Processing 36
  • Computer Vision and Pattern Recognition 58
  • Electrical and Electronic Engineering 131
Replace Yuan‐Sun Chu with:
Yuan‐Sun Chu Taiwan
Marc A. Viredaz Switzerland
Nitin Chandrachoodan India
Ricardo Pezzuol Jacobi Brazil
Antonio Servetti Italy
W. Bruce Culbertson United States
Shu Lin United States
Emad E. Abdallah Jordan
Andrzej Pacut Poland
Seung‐Ho Lim South Korea
Mitchell Trott relative to Yuan‐Sun Chu Taiwan Yuan‐Sun Chu's profile →
Citations per field
00.5×4.8×
Yuan‐Sun Chu · 1×
Citations per year

Countries citing papers authored by Mitchell Trott

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Trott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mitchell Trott, 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 Mitchell Trott Line = papers co-authored together Mitchell Trott links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201287
2 200761
3 201255
4 199442
5 200716
6 200616
7
Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform
201910
8 20114
9 20083
10 20102
11 20122
12 20122

About Mitchell Trott

Mitchell Trott is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 12 papers that have together received 300 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (5 papers), Cooperative Communication and Network Coding (4 papers), Advanced Wireless Communication Techniques (3 papers), Speech and Audio Processing (2 papers), Wireless Communication Security Techniques (2 papers), Advanced Vision and Imaging (2 papers), Algorithms and Data Compression (2 papers) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Computer Networks and Communications (182 citations), Human-Computer Interaction (29 citations), Signal Processing (36 citations), Computer Vision and Pattern Recognition (58 citations) and Electrical and Electronic Engineering (131 citations). Mitchell Trott has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Emin Martinian, Uri Erez, Gregory W. Wornell, John Apostolopoulos, Susie Wee, Philip A. Chou, Bruce Culbertson, Ton Kalker, Hans‐Andrea Loeliger and Thomas Mittelholzer. Their work appears in journals such as IEEE Transactions on Information Theory, Linear Algebra and its Applications and Proceedings of the IEEE.

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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