Marc Stevens

75 papers receiving 2.0k citations

Peers

Marc Stevens
Comparison fields: 5 of 124
  • Building and Construction 651
  • Artificial Intelligence 774
  • Signal Processing 251
  • Computer Vision and Pattern Recognition 387
  • Earth-Surface Processes 115
Replace Sándor Molnár with:
Sándor Molnár Hungary
Kenji Sugimoto Japan
Yangyang Shi China
Minkoo Kim South Korea
Xing Zhang China
Zhou Fang China
Hui Xue China
Frédéric Lebeau Belgium
Wenjing Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Marc Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Marc Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017219
2 2006146
3 2009137
4 2007118
5 201996
6 200996
7 200989
8 200284
9 200376
10 201371
11 201362
12
MD5 considered harmful today, creating a rogue CA certificate
200857
13 200457
14 199648
15 198448
16 201645
17 200840
18 200739
19 200738
20 199837

About Marc Stevens

Marc Stevens is a scholar working on Building and Construction, Computer Vision and Pattern Recognition, Artificial Intelligence, Earth-Surface Processes and Signal Processing, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Wood Treatment and Properties (29 papers), Cryptographic Implementations and Security (18 papers), Chaos-based Image/Signal Encryption (16 papers), Coding theory and cryptography (9 papers), Building materials and conservation (6 papers), Forest Insect Ecology and Management (6 papers), Cryptography and Data Security (6 papers) and Forest ecology and management (4 papers). The work is most often cited by research in Building and Construction (651 citations), Artificial Intelligence (774 citations), Signal Processing (251 citations), Computer Vision and Pattern Recognition (387 citations) and Earth-Surface Processes (115 citations). Marc Stevens has collaborated with scholars based in Belgium, Netherlands and France. Frequent co-authors include Joris Van Acker, Arjen K. Lenstra, Benne de Weger, Pierre Karpman, Jan Van den Bulcke, M. J. Boonstra, Holger Militz, Elie Bursztein, Chee-Wee Tan and Dries Vansteenkiste. Their work appears in journals such as International Biodeterioration & Biodegradation, Annals of Forest Science, European Journal of Wood and Wood Products, Wood Science and Technology and IACR Transactions on Symmetric Cryptology.

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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