Wolfram Schiffmann

670 citations
40 papers · 340 · h-index 8

Impact in

Papers in

Wolfram Schiffmann

37 papers receiving 296 citations

Peers

Wolfram Schiffmann
Comparison fields: 5 of 63
  • Artificial Intelligence 173
  • Hardware and Architecture 29
  • Computer Networks and Communications 76
  • Computer Vision and Pattern Recognition 61
  • Signal Processing 29
Replace Guoping Wang with:
Guoping Wang United States
E. M. Saad Egypt
Ce Guo United Kingdom
Zheng Gong China
Bernhard Dieber Austria
Weihong Huang Canada
Peter Langendörfer Germany
Alak Majumder India
Maurizio Capra Italy
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Citations per field
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Citations per year

Countries citing papers authored by Wolfram Schiffmann

Since Specialization
Citations

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

Fields of papers citing papers by Wolfram Schiffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Wolfram Schiffmann, 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 Wolfram Schiffmann Line = papers co-authored together Wolfram Schiffmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Optimization of the Backpropagation Algorithm for Training Multilayer Perceptrons
199492
2
Comparison of optimized backpropagation algorithms.
199355
3 199341
4 199820
5 200514
6 200814
7 20059
8 20068
9 20147
10 20076
11 20076
12 20046
13 20156
14 20025
15
Fast Optimal Task Graph Scheduling by Means of an Optimized Parallel A * -Algorithm.
20044
16 20104
17 20164
18 20043
19 20173
20 20143

About Wolfram Schiffmann

Wolfram Schiffmann is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 40 papers that have together received 340 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (9 papers), Parallel Computing and Optimization Techniques (7 papers), Caching and Content Delivery (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Neural Networks and Applications (4 papers), Robotic Path Planning Algorithms (4 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Hardware and Architecture (29 citations), Computer Networks and Communications (76 citations), Computer Vision and Pattern Recognition (61 citations) and Signal Processing (29 citations). Wolfram Schiffmann has collaborated with scholars based in Germany. Frequent co-authors include Jörg Keller, M Wenzel, Bernhard Fechner, Kai Chen, Felix Wolf, Daniel Mallmann, F. Eckstein, Achim Streit, Wolfgang Frings and Morris Riedel. Their work appears in journals such as IEEE Systems Journal, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Neural Networks, CEAS Aeronautical Journal and it - Information Technology.

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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