Tim Conrad

1.4k citations
55 papers · 942 indexed · 1 hit paper · h-index 16

Tim Conrad

51 papers receiving 915 citations

Hit Papers

Transfer learning for ECG classification153202120262022202450100150

Peers

Tim Conrad
Comparison fields: 5 of 140
  • Cancer Research 148
  • Cardiology and Cardiovascular Medicine 163
  • Health Informatics 8
  • Modeling and Simulation 25
  • Molecular Biology 354
Replace Wei Hu with:
Wei Hu China
Helena Geys Belgium
Lina Zhang China
Yuji Zhang United States
Woojoo Lee South Korea
Le Gao China
Simone Marini United States
Yinsheng Qu United States
Giuseppe Tradigo Italy
Tavpritesh Sethi India
Tim Conrad relative to Wei Hu China Wei Hu's profile →
Citations per field
00.5×4.2×
Wei Hu · 1×
Citations per year

Countries citing papers authored by Tim Conrad

Since Specialization
Citations

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

Fields of papers citing papers by Tim Conrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20243
5 20242
6 20236
7 20234
8 20224
9 20222
10 202179
11 20212
12 20201
13 20196
14 201727
15 201730
16 201621
17 201315
18 20123
19 20123
20 200991

About Tim Conrad

Tim Conrad is a scholar working on Modeling and Simulation, Infectious Diseases, Toxicology, Epidemiology and Molecular Biology, having authored 55 papers that have together received 942 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (7 papers), Bioinformatics and Genomic Networks (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Gene expression and cancer classification (4 papers), COVID-19 epidemiological studies (4 papers), Pneumonia and Respiratory Infections (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Cancer Research (148 citations), Cardiology and Cardiovascular Medicine (163 citations), Health Informatics (8 citations), Modeling and Simulation (25 citations) and Molecular Biology (354 citations). Tim Conrad has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Xintian You, Alexander Leichtle, Joachim Thiery, Julia Kase, Martin Fiedler, Uta Ceglarek, Helmut Witzigmann, Barbara Rath, Christof Schütte and Brunhilde Schweiger. Their work appears in journals such as Scientific Reports, PLoS ONE, iScience, Metabolomics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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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