Josh Fromm

553 citations
8 papers · 244 · h-index 6

Impact in

Papers in

Josh Fromm

8 papers receiving 243 citations

Peers

Josh Fromm
Comparison fields: 5 of 51
  • Human-Computer Interaction 79
  • Media Technology 32
  • Cognitive Neuroscience 48
  • Computer Vision and Pattern Recognition 43
  • Biomedical Engineering 69
Replace Harsh Agarwal with:
Harsh Agarwal India
Maymouna Ezeddin Qatar
Shuchang Xu China
Philipp Kornfeind Austria
Yujia Xu United Kingdom
Sibghatullah I. Khan India
Elliot Saba United States
Fernando Martínez-Martí Spain
Zhiliang Wang China
Gangolf Hirtz Germany
Josh Fromm relative to Harsh Agarwal India Harsh Agarwal's profile →
Citations per field
00.5×2.7×
Harsh Agarwal · 1×
Citations per year

Countries citing papers authored by Josh Fromm

Since Specialization
Citations

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

Fields of papers citing papers by Josh Fromm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201693
2 201657
3 202137
4 201625
5 202120
6 20187
7 20183
8
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
20202

About Josh Fromm

Josh Fromm is a scholar working on Cardiology and Cardiovascular Medicine, Human-Computer Interaction, Electrical and Electronic Engineering, Biomedical Engineering and Surgery, having authored 8 papers that have together received 244 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), ECG Monitoring and Analysis (2 papers), Green IT and Sustainability (1 paper), Advanced Vision and Imaging (1 paper), Image and Signal Denoising Methods (1 paper), Underwater Vehicles and Communication Systems (1 paper) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Human-Computer Interaction (79 citations), Media Technology (32 citations), Cognitive Neuroscience (48 citations), Computer Vision and Pattern Recognition (43 citations) and Biomedical Engineering (69 citations). Josh Fromm has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Shwetak Patel, Hanchuan Li, Scott E. Hudson, Eric Brockmeyer, Alanson P. Sample, Elizabeth Carter, Ziheng Jiang, Gaetano Borriello, Mayank Goel and Daniel McDuff. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Lancaster EPrints (Lancaster University) and Neural Information Processing Systems.

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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