Rudolf Sollacher

794 total citations
28 papers, 570 citations indexed

About

Rudolf Sollacher is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Rudolf Sollacher has authored 28 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 8 papers in Control and Systems Engineering. Recurrent topics in Rudolf Sollacher's work include Neural Networks and Applications (7 papers), Mobile Ad Hoc Networks (5 papers) and Cooperative Communication and Network Coding (5 papers). Rudolf Sollacher is often cited by papers focused on Neural Networks and Applications (7 papers), Mobile Ad Hoc Networks (5 papers) and Cooperative Communication and Network Coding (5 papers). Rudolf Sollacher collaborates with scholars based in Germany and Switzerland. Rudolf Sollacher's co-authors include Christoph Wagner, Henning Lenz, Ingmar Glauche, Martin Greiner, Clemens Hoffmann, Bernd Schürmann, Jorge Luiz Neves, Steffen J. Glaser, Manfred Lang and M. Lang and has published in prestigious journals such as Physical Review A, Sensors and Actuators B Chemical and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Rudolf Sollacher

25 papers receiving 528 citations

Peers

Rudolf Sollacher
Comparison fields: 5 of 57
  • Control and Systems Engineering 329
  • Transportation 250
  • Building and Construction 182
  • Computer Networks and Communications 123
  • Electrical and Electronic Engineering 86
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Hua Xu China
Wenli Fan China
Joey Huchette United States
Chengsheng Pan China
Chia‐Chun Wu Taiwan
Miguel Elias M. Campista Brazil
Gyan Ranjan United States
Ralph Lange Germany
Seunghyun Yoon South Korea
Yuan Ma China
Hua Xu China View profile →
Citations per field, relative to Rudolf Sollacher
Rudolf Sollacher · 1×
Citations per year, relative to Rudolf Sollacher
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Countries citing papers authored by Rudolf Sollacher

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Sollacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudolf Sollacher

This figure shows the co-authorship network connecting the top 25 collaborators of Rudolf Sollacher. A scholar is included among the top collaborators of Rudolf Sollacher 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 Rudolf Sollacher. Rudolf Sollacher 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 4
2 1
3 2
4 2
5 0
6 3
7 1
8 31
9 3
10
Conditional Prediction of Time Series Using Spiral Recurrent Neural Network
1
11
Quantum Pattern Recognition With Liquid State NMR
3
12 3
13
Spiral Recurrent Neural Network for Online Learning
9
14 29
15 15
16
Towards a Selforganized Control of Wireless Multihop Ad Hoc Communication Networks.
0
17
INTELLIGENT TRAFFIC CONTROL WITH ADAPTIVE, LEARNING SYSTEMS
1
18 2
19 16
20 241

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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