Eric Rachlin

455 citations
15 papers · 153 · h-index 8

Impact in

Papers in

Eric Rachlin

14 papers receiving 149 citations

Peers

Eric Rachlin
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 81
  • Biomedical Engineering 57
  • Hardware and Architecture 6
  • Computer Networks and Communications 20
  • Artificial Intelligence 28
Replace Varsha Bendre with:
Varsha Bendre India
Hesam Fathi Moghadam United States
Berk Gülmezoğlu United States
Michel Jézéquel France
Alex Cazañas-Gordón Portugal
I. Sasase Japan
Onel Alcaraz López Finland
Naveen Arivazhagan India
James Burr United States
Eric Rachlin relative to Varsha Bendre India Varsha Bendre's profile →
Citations per field
00.5×1.5×2.5×
Varsha Bendre · 1×
Citations per year

Countries citing papers authored by Eric Rachlin

Since Specialization
Citations

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

Fields of papers citing papers by Eric Rachlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Eric Rachlin, 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 Eric Rachlin Line = papers co-authored together Eric Rachlin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200735
2 201621
3 200620
4 200416
5 200512
6 20119
7 20068
8 20087
9 20056
10 20185
11 20065
12 20065
13 20083
14
Reliable computing at the nanoscale
20101
15 20080

About Eric Rachlin

Eric Rachlin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Computational Theory and Mathematics and Surgery, having authored 15 papers that have together received 153 indexed citations. Recurring topics across this work include Nanowire Synthesis and Applications (9 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Semiconductor materials and devices (4 papers), 3D Surveying and Cultural Heritage (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Semiconductor materials and interfaces (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (81 citations), Biomedical Engineering (57 citations), Hardware and Architecture (6 citations), Computer Networks and Communications (20 citations) and Artificial Intelligence (28 citations). Eric Rachlin has collaborated with scholars based in United States and Germany. Frequent co-authors include John E. Savage, John Jannotti, Melissa Chase, C. Chris Erway, Anna Lysyanskaya, Alptekın Küpçü, Mira Belenkiy, Yue Wu, André DeHon and Charles M. Lieber. Their work appears in journals such as ACM Journal on Emerging Technologies in Computing Systems, Theoretical Computer Science, IEEE Transactions on Computers, Current Diabetes Reports and Texas Heart Institute Journal.

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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