Michael Eichler

3.0k citations
51 papers · 1.8k indexed · h-index 22

Impact in

    • Transportation Planning and Optimization
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces

Papers in

Michael Eichler

51 papers receiving 1.7k citations

Peers

Michael Eichler
Comparison fields: 5 of 139
  • Transportation 238
  • Cognitive Neuroscience 610
  • Statistics and Probability 157
  • Signal Processing 168
  • Control and Systems Engineering 311
Replace Junming Shao with:
Junming Shao China
Sohan Seth United States
David Papo Spain
Ji Meng Loh United States
Bin Yu China
Samaneh Aminikhanghahi United States
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Citations per field
00.5×6.3×
Junming Shao · 1×
Citations per year

Countries citing papers authored by Michael Eichler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005216
2 2005206
3 2009178
4 2006143
5 201392
6 200685
7 201084
8 199777
9 200373
10 201663
11 200949
12 200738
13 201637
14 200036
15 201828
16 201025
17 199723
18 200022
19 200622
20
Graphical Models in Time Series Analysis
199921

About Michael Eichler

Michael Eichler is a scholar working on Transportation, Statistics and Probability, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Transportation Planning and Optimization (8 papers), Statistical Methods and Inference (7 papers), Neural dynamics and brain function (7 papers), Neural Networks and Applications (6 papers), Blind Source Separation Techniques (6 papers), Traffic control and management (5 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Transportation (238 citations), Cognitive Neuroscience (610 citations), Statistics and Probability (157 citations), Signal Processing (168 citations) and Control and Systems Engineering (311 citations). Michael Eichler has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Carlos F. Daganzo, Rainer Dahlhaus, Jens Timmer, Björn Schelter, Vanessa Didelez, B. Guschlbauer, Bernhard Hellwig, Jürgen Sandkühler, Martin Peifer and Carl Hermann Lücking. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Econometrics, Biological Cybernetics, Energy Economics and Scientific Reports.

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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