Michael Eisele

595 citations
28 papers · 493 · h-index 12

Impact in

Papers in

Michael Eisele

27 papers receiving 477 citations

Peers

Michael Eisele
Comparison fields: 5 of 84
  • Molecular Medicine 131
  • Environmental Chemistry 82
  • Geochemistry and Petrology 43
  • Water Science and Technology 86
  • Surfaces, Coatings and Films 42
Replace Stephen J. Johnson with:
Stephen J. Johnson United States
Myriam Méthot Canada
Lanping Zhang China
Malcolm L. White United States
Yunfei Zhang China
Б. М. Гинзбург Russia
Saúl Guerrero Venezuela
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Citations per field
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Citations per year

Countries citing papers authored by Michael Eisele

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eisele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011122
2 199785
3 199048
4 198439
5 201425
6 202023
7 200820
8 200719
9 198417
10 202217
11 202112
12 200111
13 200310
14 19917
15 19976
16 20095
17 20215
18 19994
19
Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning Rule
20023
20 20083

About Michael Eisele

Michael Eisele is a scholar working on Environmental Chemistry, Water Science and Technology, Molecular Biology, Geochemistry and Petrology and Organic Chemistry, having authored 28 papers that have together received 493 indexed citations. Recurring topics across this work include Soil and Water Nutrient Dynamics (9 papers), Hydrology and Watershed Management Studies (8 papers), Groundwater and Isotope Geochemistry (5 papers), Neural dynamics and brain function (3 papers), Advanced Polymer Synthesis and Characterization (2 papers), Fish Ecology and Management Studies (2 papers), Hydrogels: synthesis, properties, applications (2 papers) and Integrated Water Resources Management (2 papers). The work is most often cited by research in Molecular Medicine (131 citations), Environmental Chemistry (82 citations), Geochemistry and Petrology (43 citations), Water Science and Technology (86 citations) and Surfaces, Coatings and Films (42 citations). Michael Eisele has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Walther Burchard, Regine von Klitzing, Marcel Richter, Çağrı Üzüm, Frank Wendland, Ralf Kunkel, W. Burchard, Frank Herrmann, Peter Kreins and Björn Tetzlaff. Their work appears in journals such as Water, Water Air & Soil Pollution, Physica D Nonlinear Phenomena, Neural Computation and River Research and Applications.

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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