Конрад Рейф

2.9k total citations · 1 hit paper
59 papers, 2.0k citations indexed

About

Конрад Рейф is a scholar working on Control and Systems Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Конрад Рейф has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 14 papers in Automotive Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Конрад Рейф's work include Adaptive Control of Nonlinear Systems (14 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Electric and Hybrid Vehicle Technologies (8 papers). Конрад Рейф is often cited by papers focused on Adaptive Control of Nonlinear Systems (14 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Electric and Hybrid Vehicle Technologies (8 papers). Конрад Рейф collaborates with scholars based in Germany, United States and Russia. Конрад Рейф's co-authors include R. Unbehauen, Stefan Günther, Edwin E. Yaz, Martin Brokate, Andreas Zell, K.‐H. Schmidt, V. Geringer, Stefan M. Wild, Fritz Busch and Stephan Reichelt and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

In The Last Decade

Конрад Рейф

55 papers receiving 1.9k citations

Hit Papers

Stochastic stability of the discrete-time extended Kalman... 1999 2026 2008 2017 1999 250 500 750

Peers

Конрад Рейф
Comparison fields: 5 of 120
  • Control and Systems Engineering 977
  • Artificial Intelligence 824
  • Computer Networks and Communications 411
  • Aerospace Engineering 406
  • Electrical and Electronic Engineering 300
Replace Vassilis L. Syrmos with:
Vassilis L. Syrmos United States
Mehmet Önder Efe Türkiye
Edwin E. Yaz United States
Kai‐Yew Lum Singapore
Prashant G. Mehta United States
Ali Khaki Sedigh Iran
P.S. Maybeck United States
Indra Narayan Kar India
Kai Xiong China
Hyo‐Sang Shin United Kingdom
Vassilis L. Syrmos United States View profile →
Citations per field, relative to Конрад Рейф
Конрад Рейф · 1×
Citations per year, relative to Конрад Рейф
Конрад Рейф · 1×

Countries citing papers authored by Конрад Рейф

Since Specialization
Citations

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

Fields of papers citing papers by Конрад Рейф

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Конрад Рейф

This figure shows the co-authorship network connecting the top 25 collaborators of Конрад Рейф. A scholar is included among the top collaborators of Конрад Рейф 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 Конрад Рейф. Конрад Рейф is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 15
3 9
4 13
5 11
6 4
7 2
8 25
9 12
10 7
11 16
12 3
13 3
14 4
15 0
16 2
17 5
18 2
19 81
20 0

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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Rankless by CCL
2026