Gerd Heber

1.9k citations
32 papers · 1.1k · h-index 12

Impact in

Papers in

Gerd Heber

31 papers receiving 1.1k citations

Peers

Gerd Heber
Comparison fields: 5 of 109
  • Information Systems and Management 204
  • Hardware and Architecture 127
  • Computer Networks and Communications 390
  • Industrial and Manufacturing Engineering 86
  • Signal Processing 92
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Hans Hagen Germany
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Citations per year

Countries citing papers authored by Gerd Heber

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Heber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerd Heber, 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 Gerd Heber Line = papers co-authored together Gerd Heber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005311
2 2011290
3 201498
4 200295
5 200481
6 200873
7 200621
8 201420
9 200014
10 200814
11 200914
12 201811
13 200011
14 200010
15
Parallel Conjugate Gradient: Effects of Ordering Strategies, Programming Paradigms, and Architectural Platforms
20009
16 20038
17 20038
18 20038
19 20027
20
Scalable Implementation of Finite Elements by NASA _ Implicit (ScIFEi)
20167

About Gerd Heber

Gerd Heber is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems and Management, Mechanics of Materials and Information Systems, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (6 papers), Fatigue and fracture mechanics (4 papers), Scientific Computing and Data Management (4 papers), Cloud Computing and Resource Management (3 papers), Interconnection Networks and Systems (3 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). The work is most often cited by research in Information Systems and Management (204 citations), Hardware and Architecture (127 citations), Computer Networks and Communications (390 citations), Industrial and Manufacturing Engineering (86 citations) and Signal Processing (92 citations). Gerd Heber has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Dana Robinson, Mike Folk, Quincey Koziol, Elena Pourmal, David T. Liu, M. A. Nieto‐Santisteban, Jim Gray, Alexander S. Szalay, David J. DeWitt and Gregor F. Fussmann. Their work appears in journals such as Modelling and Simulation in Materials Science and Engineering, Engineering Fracture Mechanics, IEEE Transactions on Antennas and Propagation, Ecology Letters and Journal of Parallel and Distributed Computing.

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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