Emanuel Weitschek

73 total papers · 1.5k total citations
36 papers, 1.0k citations indexed

About

Emanuel Weitschek is a scholar working on Molecular Biology, Artificial Intelligence and Ecology. According to data from OpenAlex, Emanuel Weitschek has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Artificial Intelligence and 5 papers in Ecology. Recurrent topics in Emanuel Weitschek's work include Genomics and Phylogenetic Studies (13 papers), Gene expression and cancer classification (11 papers) and Machine Learning in Bioinformatics (6 papers). Emanuel Weitschek is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Gene expression and cancer classification (11 papers) and Machine Learning in Bioinformatics (6 papers). Emanuel Weitschek collaborates with scholars based in Italy, United States and Greece. Emanuel Weitschek's co-authors include Giovanni Felici, Paola Bertolazzi, Giulia Fiscon, Robin van Velzen, Freek T. Bakker, Maria Cristina De Cola, Simona De Salvo, Fabio Cumbo, Placido Bramanti and Alessia Bramanti and has published in prestigious journals such as Bioinformatics, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Emanuel Weitschek

34 papers receiving 991 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emanuel Weitschek 546 194 150 136 113 36 1.0k
Paola Bertolazzi 403 0.7× 152 0.8× 152 1.0× 67 0.5× 49 0.4× 54 975
Mor Nitzan 639 1.2× 263 1.4× 37 0.2× 134 1.0× 80 0.7× 33 1.2k
Erich J. Baker 396 0.7× 111 0.6× 73 0.5× 129 0.9× 17 0.2× 61 1.0k
Yvonne M. Bradford 620 1.1× 34 0.2× 52 0.3× 192 1.4× 41 0.4× 26 937
Adi Maron‐Katz 515 0.9× 379 2.0× 70 0.5× 53 0.4× 10 0.1× 21 1.2k
John H. Abel 210 0.4× 108 0.6× 22 0.1× 124 0.9× 79 0.7× 49 1.1k
Yuxia Liu 447 0.8× 62 0.3× 51 0.3× 63 0.5× 14 0.1× 58 1.1k
Daifeng Wang 578 1.1× 50 0.3× 56 0.4× 172 1.3× 37 0.3× 57 924
Yuanhao Li 397 0.7× 68 0.4× 38 0.3× 226 1.7× 9 0.1× 81 1.2k
Qin Chang 231 0.4× 74 0.4× 181 1.2× 37 0.3× 22 0.2× 47 1.0k

Countries citing papers authored by Emanuel Weitschek

Since Specialization
Citations

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

Fields of papers citing papers by Emanuel Weitschek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuel Weitschek

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuel Weitschek. A scholar is included among the top collaborators of Emanuel Weitschek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emanuel Weitschek. Emanuel Weitschek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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