Daniel Grose

646 total citations
39 papers, 435 citations indexed

About

Daniel Grose is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Software. According to data from OpenAlex, Daniel Grose has authored 39 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 19 papers in Electrical and Electronic Engineering and 12 papers in Software. Recurrent topics in Daniel Grose's work include VLSI and Analog Circuit Testing (10 papers), Software Testing and Debugging Techniques (10 papers) and Embedded Systems Design Techniques (8 papers). Daniel Grose is often cited by papers focused on VLSI and Analog Circuit Testing (10 papers), Software Testing and Debugging Techniques (10 papers) and Embedded Systems Design Techniques (8 papers). Daniel Grose collaborates with scholars based in Germany, Austria and United Kingdom. Daniel Grose's 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 and has published in prestigious journals such as Journal of Statistical Software, Transactions in GIS and Journal of Environmental and Engineering Geophysics.

In The Last Decade

Daniel Grose

36 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Grose Germany	14	207	160	130	70	60	39	435
Juan A. Carrasco Spain	10	50 0.2×	55 0.3×	110 0.8×	76 1.1×	30 0.5×	52	390
Yanjun Zhang China	12	29 0.1×	112 0.7×	59 0.5×	10 0.1×	193 3.2×	49	478
Manuel I. Capel Spain	8	45 0.2×	33 0.2×	45 0.3×	16 0.2×	64 1.1×	46	221
Massimiliano Coppo Italy	19	766 3.7×	29 0.2×	301 2.3×	14 0.2×	416 6.9×	81	1.2k
Thais Webber Brazil	10	67 0.3×	55 0.3×	15 0.1×	9 0.1×	21 0.3×	50	270
Catherine Houstis Greece	10	23 0.1×	67 0.4×	39 0.3×	11 0.2×	54 0.9×	26	261
Mohammad Ghasemzadeh Iran	11	63 0.3×	18 0.1×	13 0.1×	20 0.3×	109 1.8×	45	307
Giorgio Delzanno Italy	11	24 0.1×	27 0.2×	239 1.8×	111 1.6×	200 3.3×	85	456
John Augustine India	13	37 0.2×	58 0.4×	43 0.3×	3 0.0×	52 0.9×	38	389
Lluís-Miquel Munguía United States	7	58 0.3×	33 0.2×	22 0.2×	3 0.0×	85 1.4×	9	272

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-authorship network of co-authors of Daniel Grose

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Grose. A scholar is included among the top collaborators of Daniel Grose 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 Daniel Grose. Daniel Grose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Drechsler, Rolf, et al.. (2021). XbNN: Enabling CNNs on Edge Devices by Approximate On-Chip Dot Product Encoding. abs 1609 7061. 1–5. 5 indexed citations

2.

Herdt, Vladimir, Daniel Grose, & Rolf Drechsler. (2020). Closing the RISC-V Compliance Gap: Looking from the Negative Testing Side. 1–6. 10 indexed citations

3.

Herdt, Vladimir, Daniel Grose, & Rolf Drechsler. (2020). Fast and Accurate Performance Evaluation for RISC-V using Virtual Prototypes. 618–621. 13 indexed citations

4.

Grose, Daniel, et al.. (2020). ASNet: Introducing Approximate Hardware to High-Level Synthesis of Neural Networks. 64–69. 3 indexed citations

5.

Grose, Daniel, et al.. (2018). Approximation-aware testing for approximate circuits. Asia and South Pacific Design Automation Conference. 239–244. 10 indexed citations

6.

Samworth, Richard J., et al.. (2018). IndepTest: Nonparametric Independence Tests Based on Entropy Estimation. Lancaster EPrints (Lancaster University). 1 indexed citations

7.

Grose, Daniel, et al.. (2018). Approximation-aware testing for approximate circuits. 239–244. 17 indexed citations

8.

Grose, Daniel, et al.. (2018). Approximate hardware generation using symbolic computer algebra employing grobner basis. 889–892. 14 indexed citations

9.

Le, Hoang M., Vladimir Herdt, Daniel Grose, & Rolf Drechsler. (2018). Resilience evaluation via symbolic fault injection on intermediate code. 845–850. 5 indexed citations

10.

Herdt, Vladimir, Hoang M. Le, Daniel Grose, & Rolf Drechsler. (2018). Towards fully automated TLM-to-RTL property refinement. 1508–1511. 7 indexed citations

11.

Walter, Marcel, Robert Wille, Daniel Grose, Frank Sill Torres, & Rolf Drechsler. (2018). An exact method for design exploration of quantum-dot cellular automata. 503–508. 50 indexed citations

12.

Herdt, Vladimir, et al.. (2017). Data flow testing for virtual prototypes. se 3. 380–385. 8 indexed citations

13.

Drechsler, Rolf & Daniel Grose. (2017). Verifying next generation electronic systems. 36. 6–10.

14.

Herdt, Vladimir, et al.. (2017). Early SoC security validation by VP-based static information flow analysis. 17 indexed citations

15.

Berridge, Damon, Robert Crouchley, & Daniel Grose. (2017). A new R-based statistical software package for fitting multivariate generalized linear mixed models to large and complex datasets. International Journal for Population Data Science. 1(1). 1 indexed citations

16.

Nobes, David C., et al.. (2013). Geophysical Imaging of Subsurface Earthquake-induced Liquefaction Features at Christchurch Boys High School, Christchurch, New Zealand. Journal of Environmental and Engineering Geophysics. 18(4). 255–267. 5 indexed citations

17.

Harris, Richard, Alex Singleton, Daniel Grose, Chris Brunsdon, & Paul Longley. (2010). Grid-enabling Geographically Weighted Regression: A Case Study of Participation in Higher Education in England. Transactions in GIS. 14(1). 43–61. 54 indexed citations

18.

Le, Hoang M., Daniel Grose, & Rolf Drechsler. (2010). Towards analyzing functional coverage in SystemC TLM property checking. 27. 67–74. 8 indexed citations

19.

Hayes, Mark, et al.. (2005). GROWL: A Lightweight Grid Services Toolkit and Applications. 8 indexed citations

20.

Grose, Daniel. (1994). Reengineering the aircraft design process. 27 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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