Christopher Seifert

1.5k citations
9 papers · 1.1k · 2 hit papers · h-index 8

Impact in

Papers in

Christopher Seifert

9 papers receiving 1.1k citations

Christopher Seifert's Hit Papers

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach 2018 · 423 citations
4230+3+7Years since publication100200300400

Peers

Christopher Seifert
Comparison fields: 5 of 81
  • Ecology 703
  • Environmental Engineering 253
  • Global and Planetary Change 329
  • Agronomy and Crop Science 132
  • Soil Science 125
Replace Urs Schulthess with:
Urs Schulthess United States
Claire G. Boryan United States
Alan J. Stern United States
Wang Zhou United States
Hongyuan Ma China
Eddy De Pauw Syria
Paul C. Doraiswamy United States
Yuchuan Luo China
Laure Hossard France
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Christopher Seifert, 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 Christopher Seifert Line = papers co-authored together Christopher Seifert links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
A scalable satellite-based crop yield mapper
Hit paper breakdown →
2015438
2
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Hit paper breakdown →
2018423
3 201781
4 201573
5 201868
6 201817
7 201912
8 20117
9
UTILIZING REMOTE SENSING TO SUPPLEMENT GROUND MONITORING OF DIORHABDA ELONGATA AS A CONTROL AGENT FOR TAMARIX RAMOSISSIMA IN DINOSAUR NATIONAL MONUMENT
20092

About Christopher Seifert

Christopher Seifert is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Agronomy and Crop Science, Plant Science and Global and Planetary Change, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Climate change impacts on agriculture (6 papers), Remote Sensing in Agriculture (5 papers), Crop Yield and Soil Fertility (2 papers), Botany, Ecology, and Taxonomy Studies (1 paper), Plant responses to elevated CO2 (1 paper), Ecology and Vegetation Dynamics Studies (1 paper), Music and Audio Processing (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Ecology (703 citations), Environmental Engineering (253 citations), Global and Planetary Change (329 citations), Agronomy and Crop Science (132 citations) and Soil Science (125 citations). Christopher Seifert has collaborated with scholars based in United States and Mexico. Frequent co-authors include David B. Lobell, Bertis B. Little, David Thau, Eric Engle, Zhan Li, Yaping Cai, Shaowen Wang, Kaiyu Guan, Jian Peng and Brian Wardlow. Their work appears in journals such as Environmental Research Letters, Remote Sensing of Environment, Agronomy Journal, Soil Science Society of America Journal and DepositOnce.

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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