Marc Bartels

1.2k citations
29 papers · 994 · h-index 15

Impact in

  • Geology top 5%
    • 3D Surveying and Cultural Heritage
    • Nanoparticle-Based Drug Delivery

Papers in

Marc Bartels

29 papers receiving 957 citations

Peers

Marc Bartels
Comparison fields: 5 of 89
  • Geology 135
  • Biomaterials 216
  • Environmental Engineering 206
  • Electronic, Optical and Magnetic Materials 238
  • Pharmacology 78
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Citations per year

Countries citing papers authored by Marc Bartels

Since Specialization
Citations

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

Fields of papers citing papers by Marc Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009194
2 2010139
3 200775
4 201071
5 201364
6 201064
7 200960
8 200655
9 200852
10 200336
11
Segmentation of LIDAR data using measures of distribution
200625
12 200123
13 200921
14 200619
15 200218
16
Rule-based improvement of maximum likelihood classified LIDAR data fused with co-registered bands
200615
17
Maximum likelihood classification of LIDAR data incorporating multiple co-registered bands
200613
18 200610
19
Towards DTM generation from LIDAR data in hilly terrain using wavelets
20069
20 20068

About Marc Bartels

Marc Bartels is a scholar working on Geology, Environmental Engineering, Ocean Engineering, Pharmacology and Media Technology, having authored 29 papers that have together received 994 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (10 papers), 3D Surveying and Cultural Heritage (7 papers), Nanoplatforms for cancer theranostics (4 papers), Asymmetric Synthesis and Catalysis (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Automated Road and Building Extraction (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Geology (135 citations), Biomaterials (216 citations), Environmental Engineering (206 citations), Electronic, Optical and Magnetic Materials (238 citations) and Pharmacology (78 citations). Marc Bartels has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Amit Joshi, Robia G. Pautler, Naomi J. Halas, Rizia Bardhan, Carlos J. Pérez‐Torres, Thorsten Bach, Wenxue Chen, Qingzhong Hu, Thomas Lauterbach and Rolf W. Hartmann. Their work appears in journals such as Synlett, Bioorganic & Medicinal Chemistry, Synthesis, Nano Letters and Pattern Recognition Letters.

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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