Tim Beckmann

1.6k citations
16 papers · 1.2k · 1 hit paper · h-index 5

Impact in

Papers in

Tim Beckmann

14 papers receiving 1.2k citations

Tim Beckmann's Hit Papers

Cloud detection algorithm comparison and validation for operational Landsat data products 2017 · 906 citations
9060+3+6Years since publication250500750

Peers

Tim Beckmann
Comparison fields: 5 of 91
  • Global and Planetary Change 476
  • Ecology 531
  • Media Technology 181
  • Environmental Engineering 244
  • Cancer Research 154
Replace Shuai Tong with:
Shuai Tong China
Yadong Dong China
Yi Cen China
Yuqi Cheng China
Thomas J. Jackson United Kingdom
Zunyi Xie China
Liping Lei China
Wanxiao Sun United States
Zhenhua Wang China
Tim Beckmann relative to Shuai Tong China Shuai Tong's profile →
Citations per field
00.5×6.7×
Shuai Tong · 1×
Citations per year

Countries citing papers authored by Tim Beckmann

Since Specialization
Citations

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

Fields of papers citing papers by Tim Beckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Cloud detection algorithm comparison and validation for operational Landsat data products
Hit paper breakdown →
2017906
2 2014222
3 201252
4 201241
5 20114
6 20114
7 20013
8 20202
9 20112
10 20012
11 20211
12 20151
13 20151
14 20151
15 20030
16 20030

About Tim Beckmann

Tim Beckmann is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Geography, Planning and Development and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Protein purification and stability (3 papers), Geographic Information Systems Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Computational Techniques and Applications (2 papers), Calibration and Measurement Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Global and Planetary Change (476 citations), Ecology (531 citations), Media Technology (181 citations), Environmental Engineering (244 citations) and Cancer Research (154 citations). Tim Beckmann has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Steve Foga, Pat Scaramuzza, Zhe Zhu, John L. Dwyer, M. Joseph Hughes, Gail Schmidt, Song Guo, Frédéric Burdet, Samir Ounzain and Alexandre Sarre. Their work appears in journals such as European Heart Journal, Remote Sensing, Metrologia, Biotechnology and Bioengineering and Applied Microbiology and Biotechnology.

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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