Daniel Grose

659 citations
39 papers · 443 · h-index 14

Impact in

Papers in

Daniel Grose

36 papers receiving 428 citations

Peers

Daniel Grose
Comparison fields: 5 of 60
  • Hardware and Architecture 162
  • Software 71
  • Computational Theory and Mathematics 131
  • Electrical and Electronic Engineering 208
  • Management of Technology and Innovation 21
Replace David N. Jansen with:
David N. Jansen Germany
Manuel I. Capel Spain
Thais Webber Brazil
Luis M. Laita Spain
Mohammad Ghasemzadeh Iran
Yanjun Zhang China
Giorgio Delzanno Italy
Myungho Lee South Korea
Louis G. Birta Canada
Lluís-Miquel Munguía United States
Daniel Grose relative to David N. Jansen Germany David N. Jansen's profile →
Citations per field
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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 201056
2 201850
3 201930
4 199428
5 202024
6 202022
7 201818
8 201717
9 201916
10 202015
11 202015
12 201814
13 202013
14 201213
15 202010
16 201810
17 20108
18 20178
19
GROWL: A Lightweight Grid Services Toolkit and Applications
20058
20 20198

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 443 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 (162 citations), Software (71 citations), Computational Theory and Mathematics (131 citations), Electrical and Electronic Engineering (208 citations) and Management of Technology and Innovation (21 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, Frank Sill Torres, Robert Wille, Marcel Walter, Alex Singleton, Chris Brunsdon, Paul Longley and Richard Harris. Their work appears in journals such as International Journal for Population Data Science, Journal of Environmental and Engineering Geophysics, Journal of Statistical Software, Transactions in GIS 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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