Bertil Schmidt

244 papers receiving 4.7k citations

Peers

Bertil Schmidt
Comparison fields: 5 of 161
  • Hardware and Architecture 618
  • Artificial Intelligence 1.8k
  • Molecular Biology 3.0k
  • Computer Networks and Communications 835
  • Computational Mathematics 14
Replace Xiangke Liao with:
Xiangke Liao China
Kaizhong Zhang Canada
Costas S. Iliopoulos United Kingdom
David A. Bader United States
Alberto Apostolico United States
Dantong Yu United States
David W. Gohara United States
Tatsuya Akutsu Japan
Leonel A. Sousa Portugal
Ümit V. Çatalyürek United States
Bertil Schmidt relative to Xiangke Liao China Xiangke Liao's profile →
Citations per field
00.5×1.5×2×2.5×
Xiangke Liao · 1×
Citations per year

Countries citing papers authored by Bertil Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Bertil Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 254 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012213
2 2010185
3 2009180
4 2013169
5 2010145
6 2007138
7 2012118
8 2008116
9 2017113
10 2009111
11 2005101
12 200582
13 201274
14 200673
15 200571
16 200969
17 200966
18 201165
19 201455
20 201155

About Bertil Schmidt

Bertil Schmidt is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition, having authored 254 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (108 papers), Algorithms and Data Compression (82 papers), Parallel Computing and Optimization Techniques (36 papers), Advanced Data Storage Technologies (31 papers), Distributed and Parallel Computing Systems (30 papers), Machine Learning in Bioinformatics (24 papers), Gene expression and cancer classification (22 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Hardware and Architecture (618 citations), Artificial Intelligence (1.8k citations), Molecular Biology (3.0k citations), Computer Networks and Communications (835 citations) and Computational Mathematics (14 citations). Bertil Schmidt has collaborated with scholars based in Germany, Singapore and China. Frequent co-authors include Yongchao Liu, Douglas Leslie Maskell, Wolfgang Müller‐Wittig, Weiguo Liu, Andreas Hildebrandt, Jan Schröder, Adrianto Wirawan, Jorge González‐Domínguez, Gerrit Voß and Christian Hundt. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computational Biology and Bioinformatics and Journal of Parallel and Distributed Computing.

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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