Tim Beckmann

1.6k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Tim Beckmann is a scholar working on Molecular Biology, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tim Beckmann has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Tim Beckmann's work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Protein purification and stability (3 papers) and Geographic Information Systems Studies (3 papers). Tim Beckmann is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (6 papers), Protein purification and stability (3 papers) and Geographic Information Systems Studies (3 papers). Tim Beckmann collaborates with scholars based in United States, Germany and Austria. Tim Beckmann's co-authors include John L. Dwyer, Steve Foga, Pat Scaramuzza, Gail Schmidt, Song Guo, M. Joseph Hughes, Zhe Zhu, Jérôme Dauvillier, Roderic Guigó and Thierry Pedrazzini and has published in prestigious journals such as Remote Sensing of Environment, European Heart Journal and Applied Microbiology and Biotechnology.

In The Last Decade

Tim Beckmann

14 papers receiving 1.2k citations

Hit Papers

Cloud detection algorithm comparison and validation for o... 2017 2026 2020 2023 2017 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cloud detection algorithm comparison and validation for operational Landsat data products
    2017 869 citations Steve Foga, Pat Scaramuzza et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Beckmann United States 5 518 462 281 241 195 16 1.2k
Thomas J. Jackson United Kingdom 14 358 0.7× 301 0.7× 715 2.5× 427 1.8× 280 1.4× 20 1.6k
Zhenhua Wang China 15 254 0.5× 125 0.3× 57 0.2× 90 0.4× 50 0.3× 62 742
Xiaoyi Guo China 21 565 1.1× 612 1.3× 184 0.7× 182 0.8× 238 1.2× 82 1.5k
A. Bouchard Canada 15 290 0.6× 254 0.5× 185 0.7× 60 0.2× 77 0.4× 30 927
Dezhi Wang China 15 514 1.0× 210 0.5× 135 0.5× 229 1.0× 80 0.4× 62 906
Hongli Zhao China 15 132 0.3× 351 0.8× 86 0.3× 143 0.6× 348 1.8× 82 1.2k
Yadong Dong China 21 665 1.3× 566 1.2× 137 0.5× 521 2.2× 279 1.4× 103 1.3k
Dameng Yin China 20 1.1k 2.2× 487 1.1× 117 0.4× 578 2.4× 382 2.0× 46 1.8k
Yuqi Cheng China 16 399 0.8× 333 0.7× 90 0.3× 183 0.8× 118 0.6× 28 715
Die Chen China 14 243 0.5× 232 0.5× 196 0.7× 93 0.4× 77 0.4× 52 1.1k

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-authorship network of co-authors of Tim Beckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Beckmann. A scholar is included among the top collaborators of Tim Beckmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Beckmann. Tim Beckmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Choate, Michael J., Rajagopalan Rengarajan, James C. Storey, & Tim Beckmann. (2021). Landsat 8 Thermal Infrared Sensor Scene Select Mechanism Open Loop Operations. Remote Sensing. 13(4). 617–617. 1 indexed citations
2.
Wynands, R., et al.. (2020). Uncertainty evaluation of the PTB stationary reference facilities for road vehicle speed. Metrologia. 57(2). 25012–25012. 2 indexed citations
3.
Foga, Steve, Pat Scaramuzza, Song Guo, et al.. (2017). Cloud detection algorithm comparison and validation for operational Landsat data products. Remote Sensing of Environment. 194. 379–390. 869 indexed citations breakdown →
4.
Gerace, Aaron, et al.. (2015). TIRS stray light correction: algorithms and performance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9607. 96070Q–96070Q. 1 indexed citations
5.
6.
Beckmann, Tim, et al.. (2015). Medium development beyond production media: Chemically defined media for transfection and single cell cultivation. BMC Proceedings. 9(S9). 1 indexed citations
7.
Ounzain, Samir, R. Micheletti, Tim Beckmann, et al.. (2014). Genome-wide profiling of the cardiac transcriptome after myocardial infarction identifies novel heart-specific long non-coding RNAs. European Heart Journal. 36(6). 353–368. 214 indexed citations
8.
Beckmann, Tim, Oliver H. Krämer, Sandra Klausing, et al.. (2012). Effects of high passage cultivation on CHO cells: a global analysis. Applied Microbiology and Biotechnology. 94(3). 659–671. 48 indexed citations
9.
Meleady, Paula, Raimund Hoffrogge, Michael Henry, et al.. (2012). Utilization and evaluation of CHO‐specific sequence databases for mass spectrometry based proteomics. Biotechnology and Bioengineering. 109(6). 1386–1394. 40 indexed citations
10.
Heinrich, Christoph A., Tim Beckmann, Heino Büntemeyer, & Thomas Noll. (2011). Utilization of multifrequency permittivity measurements in addition to biomass monitoring. BMC Proceedings. 5(S8). P30–P30. 4 indexed citations
11.
Beckmann, Tim, et al.. (2011). Proteomic and metabolomic characterization of CHO DP-12 cell lines with different high passage histories. BMC Proceedings. 5(S8). P92–P92. 4 indexed citations
12.
Heinrich, Christoph A., Tim Beckmann, Heino Büntemeyer, & Thomas Noll. (2011). Utilization of multifrequency permittivity measurements in addition to biomass monitoring. BMC Proceedings. 5(S8). O10–O10. 2 indexed citations
13.
Beckmann, Tim, et al.. (2003). Extending Beowulf Clusters. Antarctica A Keystone in a Changing World.
14.
Beckmann, Tim, et al.. (2003). Processing large remote sensing image data sets on Beowulf clusters. Antarctica A Keystone in a Changing World.
15.
Beckmann, Tim, et al.. (2001). A parallel-processing approach to computing for the geographic sciences; applications and systems enhancements. Antarctica A Keystone in a Changing World. 2 indexed citations
16.
Beckmann, Tim, et al.. (2001). A parallel-processing approach to computing for the geographic sciences. Antarctica A Keystone in a Changing World. 3 indexed citations

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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