Manfred Paeschke

24 total papers · 485 total citations
13 papers, 401 citations indexed

About

Manfred Paeschke is a scholar working on Bioengineering, Biomedical Engineering and Electrochemistry. According to data from OpenAlex, Manfred Paeschke has authored 13 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Bioengineering, 9 papers in Biomedical Engineering and 8 papers in Electrochemistry. Recurrent topics in Manfred Paeschke's work include Analytical Chemistry and Sensors (11 papers), Electrochemical Analysis and Applications (8 papers) and Microfluidic and Capillary Electrophoresis Applications (7 papers). Manfred Paeschke is often cited by papers focused on Analytical Chemistry and Sensors (11 papers), Electrochemical Analysis and Applications (8 papers) and Microfluidic and Capillary Electrophoresis Applications (7 papers). Manfred Paeschke collaborates with scholars based in Germany and South Korea. Manfred Paeschke's co-authors include R. Hintsche, Ulla Wollenberger, Uwe Schnakenberg, Thomas Lisec, Albrecht Uhlig, B. Wagner, Christian Köhler, Frieder W. Scheller, Fred Lisdat and Fritz Scholz and has published in prestigious journals such as Analytica Chimica Acta, Biosensors and Bioelectronics and Sensors and Actuators B Chemical.

In The Last Decade

Manfred Paeschke

12 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Manfred Paeschke 224 207 174 173 81 13 401
Francine Kivlehan 236 1.1× 169 0.8× 165 0.9× 139 0.8× 106 1.3× 13 424
D. J. Strike 177 0.8× 133 0.6× 239 1.4× 192 1.1× 34 0.4× 14 404
Albrecht Uhlig 167 0.7× 140 0.7× 204 1.2× 124 0.7× 43 0.5× 14 350
Xing Pei 181 0.8× 246 1.2× 181 1.0× 104 0.6× 67 0.8× 13 343
Jesus Garoz‐Ruiz 95 0.4× 260 1.3× 242 1.4× 108 0.6× 62 0.8× 20 405
Florinel‐Gabriel Bănică 98 0.4× 78 0.4× 184 1.1× 147 0.8× 97 1.2× 12 395
Rajinder S. Sethi 193 0.9× 95 0.5× 210 1.2× 181 1.0× 102 1.3× 10 357
Fengjun Shang 91 0.4× 189 0.9× 252 1.4× 110 0.6× 156 1.9× 10 434
J.W. Dieker 151 0.7× 233 1.1× 185 1.1× 71 0.4× 20 0.2× 9 336
Wioleta Białobrzeska 104 0.5× 76 0.4× 209 1.2× 111 0.6× 107 1.3× 16 364

Countries citing papers authored by Manfred Paeschke

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Paeschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manfred Paeschke

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