G. Hartmann

617 total citations
26 papers, 332 citations indexed

About

G. Hartmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, G. Hartmann has authored 26 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Cognitive Neuroscience. Recurrent topics in G. Hartmann's work include Neural Networks and Applications (9 papers), Neural dynamics and brain function (7 papers) and Image and Object Detection Techniques (7 papers). G. Hartmann is often cited by papers focused on Neural Networks and Applications (9 papers), Neural dynamics and brain function (7 papers) and Image and Object Detection Techniques (7 papers). G. Hartmann collaborates with scholars based in Germany. G. Hartmann's co-authors include H. Michna, Rolf Eckmiller, Bärbel Mertsching, Winfried A. Fellenz, Carsten Wolff, Ulrich Rückert and Jian Cheng and has published in prestigious journals such as Biological Cybernetics, International Orthopaedics and IEEE Transactions on Neural Networks.

In The Last Decade

G. Hartmann

22 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Hartmann Germany 8 89 85 83 72 44 26 332
Andrews Samraj India 11 69 0.8× 15 0.2× 115 1.4× 41 0.6× 54 1.2× 61 367
João M. O. S. Rodrigues Portugal 11 22 0.2× 29 0.3× 39 0.5× 49 0.7× 14 0.3× 45 391
Ali Jafari United States 11 109 1.2× 15 0.2× 73 0.9× 86 1.2× 23 0.5× 23 369
Reza Derakhshani United States 16 376 4.2× 13 0.2× 52 0.6× 47 0.7× 34 0.8× 60 856
Abhishek Vaish India 9 38 0.4× 11 0.1× 123 1.5× 74 1.0× 25 0.6× 55 323
Abolfazl Mohebbi Canada 10 107 1.2× 10 0.1× 51 0.6× 24 0.3× 6 0.1× 36 459
S. Ramkumar India 14 54 0.6× 4 0.0× 163 2.0× 86 1.2× 10 0.2× 62 500
M. Parisa Beham India 9 178 2.0× 17 0.2× 13 0.2× 52 0.7× 4 0.1× 29 286
Yuki Sato Japan 11 22 0.2× 17 0.2× 50 0.6× 10 0.1× 3 0.1× 48 373
Chunzhi Yi China 10 31 0.3× 13 0.2× 72 0.9× 22 0.3× 13 0.3× 35 327

Countries citing papers authored by G. Hartmann

Since Specialization
Citations

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

Fields of papers citing papers by G. Hartmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Hartmann

This figure shows the co-authorship network connecting the top 25 collaborators of G. Hartmann. A scholar is included among the top collaborators of G. Hartmann 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 G. Hartmann. G. Hartmann 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
1.
2.
Mertsching, Bärbel, et al.. (2005). Interpretation Of Traffic Scenes Using A Hierarchical Data Structure. 290. 163–168. 1 indexed citations
3.
Hartmann, G.. (2003). Neural space representation in a moving frame. 1. 92–97.
4.
Hartmann, G. & Bärbel Mertsching. (2003). A hierarchical vision system. 12. 18–23. 2 indexed citations
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6.
Hartmann, G., et al.. (2003). An active object recognition system for disassembly tasks. 1. 79–88. 2 indexed citations
7.
Hartmann, G., et al.. (2002). Biology-inspired design of digital Gabor filters upon a hexagonal sampling scheme. 3. 445–448. 11 indexed citations
8.
Hartmann, G., et al.. (2002). A VLSI-processor for the generation of the hierarchical structure code in real time. 67–76. 2 indexed citations
9.
10.
Hartmann, G., et al.. (2002). Circle location from intensity and range data using the singular value decomposition. 3. 774–777. 2 indexed citations
11.
Hartmann, G., et al.. (2002). The SENROB vision-system and its philosophy. 2. 573–576. 5 indexed citations
12.
Hartmann, G., et al.. (2002). Invariant object recognition with discriminant features based on local fast-Fourier Mellin transform. 1. 948–951. 10 indexed citations
13.
Hartmann, G., et al.. (1999). An accelerator for neural networks with pulse-coded model neurons. IEEE Transactions on Neural Networks. 10(3). 527–538. 11 indexed citations
14.
15.
Hartmann, G., et al.. (1996). Knowledge-based view control of a neural 3-D object recognition system. 2. 24–29 vol.4. 12 indexed citations
16.
Eckmiller, Rolf, et al.. (1990). Parallel Processing in Neural Systems and Computers. Elsevier eBooks. 626–626. 110 indexed citations
17.
Hartmann, G., et al.. (1990). Verification of continuity, using temporal code. 459–464 vol.2.
18.
Michna, H. & G. Hartmann. (1989). Adaptation of tendon collagen to exercise. International Orthopaedics. 13(3). 161–165. 95 indexed citations
19.
Michna, H. & G. Hartmann. (1988). Hypertrophy, androgens, and tendon karyometry: functional and experimental investigations.. PubMed. 134(6). 903–12. 2 indexed citations
20.
Hartmann, G.. (1954). [Bilateral hip joint destruction in inveterate tabes dorsalis].. PubMed. 79(15). 626–9. 1 indexed citations

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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