Lou Scheffer

577 citations
18 papers · 344 · h-index 10

Impact in

Papers in

Lou Scheffer

17 papers receiving 328 citations

Peers

Lou Scheffer
Comparison fields: 5 of 55
  • Hardware and Architecture 122
  • Cellular and Molecular Neuroscience 111
  • Structural Biology 8
  • Biophysics 28
  • Aging 6
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Citations per field
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Citations per year

Countries citing papers authored by Lou Scheffer

Since Specialization
Citations

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

Fields of papers citing papers by Lou Scheffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011138
2
Electronic Design Automation for Integrated Circuits Handbook
200633
3 200027
4 200127
5 200227
6
The Count of Monte Carlo
200422
7 201016
8 200612
9 201310
10 20079
11 19978
12 20004
13 20124
14
Proceedings of the 2003 international workshop on System-level interconnect prediction
20033
15 20022
16
Keynote Paper Statistical Timing Analysis: From Basic Principles to State of the Art
20081
17 20031
18 20040

About Lou Scheffer

Lou Scheffer is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Structural Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 18 papers that have together received 344 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (9 papers), Low-power high-performance VLSI design (9 papers), VLSI and Analog Circuit Testing (8 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Neurobiology and Insect Physiology Research (2 papers), 3D IC and TSV technologies (2 papers), Manufacturing Process and Optimization (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Hardware and Architecture (122 citations), Cellular and Molecular Neuroscience (111 citations), Structural Biology (8 citations), Biophysics (28 citations) and Aging (6 citations). Lou Scheffer has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Dmitri B. Chklovskii, Shiv Vitaladevuni, Gonzalo G. de Polavieja, Marta Rivera-Alba, Shin-ya Takemura, Zhiyuan Lu, Yuriy Mishchenko, Ian A. Meinertzhagen, Grant Martín and Luciano Lavagno. Their work appears in journals such as Current Biology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Medical Imaging and PORTO Publications Open Repository TOrino (Politecnico di Torino).

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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