Michael Eckert

117 papers receiving 1.1k citations

Peers

Michael Eckert
Comparison fields: 5 of 141
  • History and Philosophy of Science 119
  • Theoretical Computer Science 28
  • Physical and Theoretical Chemistry 120
  • Computer Networks and Communications 285
  • Signal Processing 122
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Marjorie Senechal United States
David B. Wilson United States
H. Sachs Germany
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Branko Grünbaum United States
Chenye Wu China
Aleksandr I︠A︡kovlevich Khinchin United States
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Citations per year

Countries citing papers authored by Michael Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198861
2 198760
3 198760
4 200750
5 198948
6
Reactivity on the web: paradigms and applications of the language XChange
200644
7 201244
8 200941
9 201338
10 201133
11 198831
12 201130
13 201330
14
199625
15 200524
16 201024
17 201423
18 199322
19 201121
20 200721

About Michael Eckert

Michael Eckert is a scholar working on History and Philosophy of Science, Artificial Intelligence, Computer Networks and Communications, Information Systems and Atomic and Molecular Physics, and Optics, having authored 140 papers that have together received 1.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (22 papers), Advanced Database Systems and Queries (20 papers), Twentieth Century Scientific Developments (13 papers), History and advancements in chemistry (11 papers), Philosophy, Science, and History (10 papers), Service-Oriented Architecture and Web Services (10 papers), History of Science and Natural History (9 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in History and Philosophy of Science (119 citations), Theoretical Computer Science (28 citations), Physical and Theoretical Chemistry (120 citations), Computer Networks and Communications (285 citations) and Signal Processing (122 citations). Michael Eckert has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include François Bry, Georg Zuńdel, Lillian Hoddeson, Gordon Baym, Eberhard Bodenschatz, Philippe Bonnard, Friedrich C. Simmel, H. Schubert, G. L. Hofacker and Eugene S. Kryachko. Their work appears in journals such as The Journal of Physical Chemistry, Annalen der Physik, The European Physical Journal H, The European Physical Journal Special Topics and Journal of Music Theory.

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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