Daniel Grose

659 citations
39 papers · 491 · h-index 14

Impact in

Papers in

Daniel Grose

36 papers receiving 476 citations

Peers

Daniel Grose
Comparison fields: 5 of 61
  • Hardware and Architecture 180
  • Software 86
  • Computational Theory and Mathematics 144
  • Electrical and Electronic Engineering 224
  • Signal Processing 36
Replace Manuel I. Capel with:
Manuel I. Capel Spain
Mohammad Ghasemzadeh Iran
Luis M. Laita Spain
M.H. MacGregor Canada
Matthias Damm Germany
Myungho Lee South Korea
Eric Allman United States
Massimo Ancona Italy
Oleg Shcherbina Austria
Mariam Lahami Tunisia
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Citations per year

Countries citing papers authored by Daniel Grose

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Grose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201061
2 201850
3 202032
4 199432
5 201930
6 202022
7 201820
8 201718
9 201917
10 201817
11 202017
12 202017
13 201216
14 202014
15 202012
16 201811
17 201910
18 20109
19 20179
20
GROWL: A Lightweight Grid Services Toolkit and Applications
20058

About Daniel Grose

Daniel Grose is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 39 papers that have together received 491 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (10 papers), Software Testing and Debugging Techniques (10 papers), Embedded Systems Design Techniques (8 papers), Radiation Effects in Electronics (8 papers), Low-power high-performance VLSI design (7 papers), Formal Methods in Verification (7 papers), VLSI and FPGA Design Techniques (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (180 citations), Software (86 citations), Computational Theory and Mathematics (144 citations), Electrical and Electronic Engineering (224 citations) and Signal Processing (36 citations). Daniel Grose has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Rolf Drechsler, Vladimir Herdt, Hoang M. Le, Marcel Walter, Robert Wille, Frank Sill Torres, Alex Singleton, Paul Longley, Richard Harris and Chris Brunsdon. Their work appears in journals such as International Journal for Population Data Science, Transactions in GIS, Journal of Statistical Software, Journal of Environmental and Engineering Geophysics and IEEE Embedded Systems Letters.

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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