Scott Sievert

1.3k citations
20 papers · 470 · h-index 7

Impact in

    • Ruminant Nutrition and Digestive Physiology
    • Reproductive Physiology in Livestock
    • Agronomic Practices and Intercropping Systems
    • Bioenergy crop production and management
  • Forestry top 10%

Papers in

Scott Sievert

12 papers receiving 437 citations

Peers

Scott Sievert
Comparison fields: 5 of 108
  • Agronomy and Crop Science 249
  • Forestry 29
  • Animal Science and Zoology 41
  • Environmental Chemistry 38
  • Genetics 82
Replace Hiroshi Dohi with:
Hiroshi Dohi Japan
Tristan Mary‐Huard France
James Hills Australia
Jonathan H. Clark United States
Shawn McGrath Australia
M. D. V. de Resende Brazil
W.K. Kennedy United States
Y. Jiang China
Narayan Hegde United States
K. B. Saxena India
Scott Sievert relative to Hiroshi Dohi Japan Hiroshi Dohi's profile →
Citations per field
00.5×6.9×
Hiroshi Dohi · 1×
Citations per year

Countries citing papers authored by Scott Sievert

Since Specialization
Citations

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

Fields of papers citing papers by Scott Sievert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1993197
2 2018138
3 199340
4
ATOMO: Communication-efficient Learning via Atomic Sparsification
201832
5 199320
6 202116
7 20197
8 20216
9
Effects of nonfiber carbohydrate and Aspergillus oryzae fermentation extract on intake, milk production, and digestion in lactating dairy cows.
19905
10 20175
11 20222
12 20221
13 20231
14
Slide Decks for Presentations
20250
15
Slide Decks for Presentations
20250
16
Presentations Given by Ambassadors
20250
17
Presentations Given by Ambassadors
20250
18
Slide Decks for Presentations
20250
19
Presentations Given by Ambassadors
20250
20 20240

About Scott Sievert

Scott Sievert is a scholar working on Artificial Intelligence, Agronomy and Crop Science, Social Psychology, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 20 papers that have together received 470 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (4 papers), Humor Studies and Applications (2 papers), Machine Learning and Data Classification (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Data Stream Mining Techniques (2 papers), Advanced Bandit Algorithms Research (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). The work is most often cited by research in Agronomy and Crop Science (249 citations), Forestry (29 citations), Animal Science and Zoology (41 citations), Environmental Chemistry (38 citations) and Genetics (82 citations). Scott Sievert has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include R.D. Shaver, P.C. Hoffman, D.K. Combs, Jeffrey Heer, Jake Vanderplas, Dominik Moritz, Arvind Satyanarayan, Brian Granger, Kanit Wongsuphasawat and Zachary Charles. Their work appears in journals such as Journal of Dairy Science, Journal of Nonverbal Behavior, Journal of Animal Science, 2022 IEEE International Conference on Big Data (Big Data) and The Journal of Open Source Software.

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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