Karl Weber

26 total papers · 1.2k total citations
15 papers, 1.0k citations indexed

About

Karl Weber is a scholar working on Organic Chemistry, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karl Weber has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 5 papers in Electrical and Electronic Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karl Weber's work include Synthesis and pharmacology of benzodiazepine derivatives (3 papers), Organic Light-Emitting Diodes Research (3 papers) and Conducting polymers and applications (3 papers). Karl Weber is often cited by papers focused on Synthesis and pharmacology of benzodiazepine derivatives (3 papers), Organic Light-Emitting Diodes Research (3 papers) and Conducting polymers and applications (3 papers). Karl Weber collaborates with scholars based in Australia, Germany and China. Karl Weber's co-authors include Jennifer M. Pringle, Yasmina Dkhissi, Udo Bach, S. Meyer, Yu Han, Leone Spiccia, Yi‐Bing Cheng, H. Heuer, P Danneberg and Thomas R. Gengenbach and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and Journal of Materials Chemistry A.

In The Last Decade

Karl Weber

14 papers receiving 1.0k citations

Hit Papers

Degradation observations ... 2015 2026 2018 2022 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Karl Weber 898 588 409 42 36 15 1.0k
Josué F. Martínez Hardigree 833 0.9× 508 0.9× 357 0.9× 69 1.6× 24 0.7× 21 935
Baili Li 803 0.9× 627 1.1× 275 0.7× 75 1.8× 11 0.3× 13 990
James W. Ryan 740 0.8× 529 0.9× 319 0.8× 60 1.4× 21 0.6× 28 931
Jianming Chen 734 0.8× 792 1.3× 376 0.9× 73 1.7× 31 0.9× 19 1.2k
Emily M. Speller 745 0.8× 341 0.6× 506 1.2× 43 1.0× 113 3.1× 12 1.0k
Andrius Devižis 810 0.9× 293 0.5× 432 1.1× 115 2.7× 21 0.6× 31 930
Masashi Ozaki 606 0.7× 451 0.8× 249 0.6× 55 1.3× 84 2.3× 26 1.0k
Jung‐Hwa Park 598 0.7× 242 0.4× 480 1.2× 33 0.8× 62 1.7× 23 889
Ruizhi Wang 810 0.9× 326 0.6× 323 0.8× 98 2.3× 32 0.9× 34 1.0k
Hannah Bürckstümmer 829 0.9× 398 0.7× 552 1.3× 85 2.0× 21 0.6× 15 1.1k

Countries citing papers authored by Karl Weber

Since Specialization
Citations

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

Fields of papers citing papers by Karl Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Weber. A scholar is included among the top collaborators of Karl Weber 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 Karl Weber. Karl Weber 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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