Hartmut Jürgens
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 2%
- Economics and Econometrics top 2%
- Mathematical Physics top 2%
- Computer Vision and Pattern Recognition top 2%
- Topics
- Medical Imaging Techniques and Applications (1 paper)Neural Networks and Applications (1 paper)Control Systems and Identification (1 paper)
- Journals
- Scientific AmericanEuropean Journal of RadiologyCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- GermanyUnited States
In The Last Decade
Hartmut Jürgens
18 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Statistical and Nonlinear Physics 758
- Artificial Intelligence 554
- Economics and Econometrics 515
- Mathematical Physics 480
- Computer Vision and Pattern Recognition 377
Countries citing papers authored by Hartmut Jürgens
This map shows the geographic impact of Hartmut Jürgens'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 Hartmut Jürgens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hartmut Jürgens more than expected).
Fields of papers citing papers by Hartmut Jürgens
This network shows the impact of papers produced by Hartmut Jürgens. 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 Hartmut Jürgens. The network helps show where Hartmut Jürgens may publish in the future.
Co-authorship network of co-authors of Hartmut Jürgens
This figure shows the co-authorship network connecting the top 25 collaborators of Hartmut Jürgens. A scholar is included among the top collaborators of Hartmut Jürgens 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 Hartmut Jürgens. Hartmut Jürgens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 330 | |
| 2 | Neural Object Classification Using Ultrasonic Spectrum Analysis | 0 |
| 3 | 26 | |
| 4 | Chaos : Bausteine der Ordnung | 10 |
| 5 | Introduction to fractals and chaos | 2 |
| 6 | Fractals for the classroom (vol. 1): strategic activities | 2 |
| 7 | Bausteine Des Chaos-Fraktale | 17 |
| 8 | 117 | |
| 9 | 26 | |
| 10 | Chaos and Fractals: New Frontiers of Sciencebreakdown → | 1124 |
| 11 | Chaos and Fractalsbreakdown → | 1413 |
| 12 | Complex systems and Mandelbrot set | 2 |
| 13 | 20 | |
| 14 | 103 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | El lenguaje de los fractales | 1 |
| 18 | 25 | |
| 19 | 1 |
About Hartmut Jürgens
Hartmut Jürgens is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 19 papers that have together received 3.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (1 paper), Neural Networks and Applications (1 paper) and Control Systems and Identification (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (758 citations), Mathematical Physics (480 citations) and Computational Theory and Mathematics (333 citations). Hartmut Jürgens has collaborated with scholars based in Germany and United States. Frequent co-authors include Dietmar Saupe, Heinz‐Otto Peitgen, K.-J. Klose, Carl J. G. Evertsz, R. Leppek and Ulrich Rückert. Their work appears in journals such as Scientific American, European Journal of Radiology and CERN Document Server (European Organization for Nuclear Research).
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.