Jan Schmidt

610 citations
17 papers · 356 · h-index 8

Impact in

Papers in

Jan Schmidt

17 papers receiving 320 citations

Peers

Jan Schmidt
Comparison fields: 5 of 73
  • Computer Science Applications 93
  • Biophysics 26
  • Education 128
  • Communication 20
  • Physical and Theoretical Chemistry 22
Replace K.W. Galloway with:
K.W. Galloway United Kingdom
Hanno van Keulen Netherlands
Phillip D. Long United States
Howard Kimmel United States
Shuqiang Zhang China
Eddy Forte Switzerland
Simone S. Borges Brazil
Thomas Elliott Berry United States
James Lockwood Ireland
Gideon Dishon Israel
Jan Schmidt relative to K.W. Galloway United Kingdom K.W. Galloway's profile →
Citations per field
00.5×2.9×
K.W. Galloway · 1×
Citations per year

Countries citing papers authored by Jan Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jan Schmidt, 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 Jan Schmidt Line = papers co-authored together Jan Schmidt links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2015115
2 200763
3 199253
4 196927
5 200922
6 197515
7 202014
8
Open Source and Open Standards: A New Frontier for Economic Development?
200611
9 19876
10 20195
11 20195
12 20185
13 20125
14
Open courseware as an example for user-centric innovation in higher education – towards a new social role of the university
20085
15 20193
16 20071
17 20201

About Jan Schmidt

Jan Schmidt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Education, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 17 papers that have together received 356 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (4 papers), Chaos-based Image/Signal Encryption (3 papers), Online Learning and Analytics (2 papers), Advanced Chemical Physics Studies (2 papers), Coding theory and cryptography (2 papers), Molecular Junctions and Nanostructures (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Computer Science Applications (93 citations), Biophysics (26 citations), Education (128 citations), Communication (20 citations) and Physical and Theoretical Chemistry (22 citations). Jan Schmidt has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Derek Keats, Christopher B. Newman, Thomas A. Schildhauer, E. J. J. Groenen, Michio M. Matsushita, Gerard Meijer, J.H. van der Waals, Oleg G. Poluektov, I. Y. Chan and Rishab Aiyer Ghosh. Their work appears in journals such as Chemical Physics Letters, Acta Crystallographica Section B Structural Science Crystal Engineering and Materials, The International Review of Research in Open and Distributed Learning, First Monday and Springer briefs in education.

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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