Nir Friedman

1.4k citations
44 papers · 867 · h-index 12

Impact in

Papers in

Nir Friedman

39 papers receiving 856 citations

Peers

Nir Friedman
Comparison fields: 5 of 127
  • Cognitive Neuroscience 264
  • Statistical and Nonlinear Physics 139
  • Agronomy and Crop Science 88
  • Critical Care and Intensive Care Medicine 24
  • Condensed Matter Physics 56
Replace Xiang Ji with:
Xiang Ji China
Thomas W Murphy United States
Satoru Morita Japan
Steven Barry Australia
Kathleen Hoffman United States
Yosuke Tomita Japan
Sergio Alonso Spain
R. Stuart Mackay United States
Klaus‐Peter Möllmann Germany
Thomas Sams Denmark
Nir Friedman relative to Xiang Ji China Xiang Ji's profile →
Citations per field
00.5×10×15×18.7×
Xiang Ji · 1×
Citations per year

Countries citing papers authored by Nir Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Nir Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012330
2 2012173
3 201646
4 201746
5 201638
6 201934
7 201523
8 197716
9 201214
10 201814
11 199812
12 202111
13
Universal Critical Dynamics in High Resolution Neuronal Avalanche Data
20128
14 20208
15 20068
16 20038
17 20227
18 19967
19 20206
20 20156

About Nir Friedman

Nir Friedman is a scholar working on Electrical and Electronic Engineering, Critical Care and Intensive Care Medicine, Neurology, Emergency Medicine and Molecular Biology, having authored 44 papers that have together received 867 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (4 papers), Ultrasound in Clinical Applications (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Gut microbiota and health (2 papers), Appendicitis Diagnosis and Management (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Cognitive Neuroscience (264 citations), Statistical and Nonlinear Physics (139 citations), Agronomy and Crop Science (88 citations), Critical Care and Intensive Care Medicine (24 citations) and Condensed Matter Physics (56 citations). Nir Friedman has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Karin A. Dahmen, Robert Deville, Masanori Shimono, John M. Beggs, Braden A. W. Brinkman, Shinya Ito, Thomas Butler, Itzhak Mizrahi, Jonathan T. Uhl and Andrew T. Jennings. Their work appears in journals such as Pediatric Emergency Care, Environmental Microbiology, IEEE Journal of Solid-State Circuits, Physical Review Letters and Clinical Toxicology.

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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