Daniel Finchelstein

1.8k total citations
9 papers, 378 citations indexed

About

Daniel Finchelstein is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Finchelstein has authored 9 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Biomedical Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Finchelstein's work include Low-power high-performance VLSI design (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Image and Video Quality Assessment (3 papers). Daniel Finchelstein is often cited by papers focused on Low-power high-performance VLSI design (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Image and Video Quality Assessment (3 papers). Daniel Finchelstein collaborates with scholars based in United States, United Kingdom and South Korea. Daniel Finchelstein's co-authors include Anantha P. Chandrakasan, Naveen Verma, Denis C. Daly, Vivienne Sze, Benton H. Calhoun, David D. Wentzloff, SeongHwan Cho, A. Wang, Mahmut E. Sinangil and Joyce Kwong and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal of Solid-State Circuits and IEEE Transactions on Computers.

In The Last Decade

Daniel Finchelstein

8 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Finchelstein United States 6 280 105 96 62 59 9 378
Yuan‐Hua Chu Taiwan 11 374 1.3× 72 0.7× 129 1.3× 17 0.3× 30 0.5× 40 474
Tufan Coşkun Karalar Türkiye 9 337 1.2× 157 1.5× 91 0.9× 47 0.8× 8 0.1× 23 407
Michael Minuth United States 8 553 2.0× 104 1.0× 199 2.1× 27 0.4× 7 0.1× 8 622
İmran Ali South Korea 9 286 1.0× 42 0.4× 93 1.0× 39 0.6× 8 0.1× 59 338
Javin Olson United States 8 533 1.9× 76 0.7× 197 2.1× 21 0.3× 6 0.1× 11 594
William R. Hamburgen United States 7 64 0.2× 74 0.7× 17 0.2× 97 1.6× 11 0.2× 10 247
Guo‐Ming Sung Taiwan 9 255 0.9× 60 0.6× 92 1.0× 39 0.6× 6 0.1× 77 296
Inna Partin-Vaisband United States 10 303 1.1× 31 0.3× 67 0.7× 54 0.9× 10 0.2× 38 362
A.P. Dancy United States 7 347 1.2× 24 0.2× 175 1.8× 15 0.2× 10 0.2× 9 371
C.F. Rahim United States 7 338 1.2× 50 0.5× 294 3.1× 24 0.4× 25 0.4× 11 377

Countries citing papers authored by Daniel Finchelstein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Finchelstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Finchelstein

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

All Works

9 of 9 papers shown
1.
Ebergen, Jo, et al.. (2011). An Evaluation of Asynchronous Stacks. IEEE Design & Test of Computers. 28(5). 52–61.
2.
Chandrakasan, Anantha P., Denis C. Daly, Daniel Finchelstein, et al.. (2010). Technologies for Ultradynamic Voltage Scaling. Proceedings of the IEEE. 98(2). 191–214. 89 indexed citations
3.
Finchelstein, Daniel, Vivienne Sze, & Anantha P. Chandrakasan. (2009). Multicore Processing and Efficient On-Chip Caching for H.264 and Future Video Decoders. IEEE Transactions on Circuits and Systems for Video Technology. 19(11). 1704–1713. 17 indexed citations
4.
Sze, Vivienne, Daniel Finchelstein, Mahmut E. Sinangil, & Anantha P. Chandrakasan. (2009). A 0.7-V 1.8-mW H.264/AVC 720p Video Decoder. IEEE Journal of Solid-State Circuits. 44(11). 2943–2956. 39 indexed citations
5.
Ickes, Nathan, Daniel Finchelstein, & Anantha P. Chandrakasan. (2008). A 10-pJ/instruction, 4-MIPS micropower DSP for sensor applications. 1008. 289–292. 26 indexed citations
6.
Finchelstein, Daniel, et al.. (2008). A low-power 0.7-V H.264 720p video decoder. 173–176. 13 indexed citations
7.
Chandrakasan, Anantha P., Naveen Verma, Joyce Kwong, et al.. (2006). Micropower wireless sensors. 5 indexed citations
8.
Calhoun, Benton H., Denis C. Daly, Naveen Verma, et al.. (2005). Design Considerations for Ultra-Low Energy Wireless Microsensor Nodes. IEEE Transactions on Computers. 54(6). 727–740. 187 indexed citations
9.
Ebergen, Jo, et al.. (2004). A fast and energy-ef .cient stack. cs 93 11. 7–16. 2 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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