Greg Grudic

885 citations
25 papers · 638 indexed · h-index 12

Greg Grudic

25 papers receiving 606 citations

Peers

Greg Grudic
Comparison fields: 5 of 83
  • Critical Care and Intensive Care Medicine 126
  • Emergency Medicine 217
  • Cardiology and Cardiovascular Medicine 142
  • Computer Vision and Pattern Recognition 114
  • Surgery 246
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Gregory Z. Grudić United States
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Yuichiro Toda Japan
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Citations per year

Countries citing papers authored by Greg Grudic

Since Specialization
Citations

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

Fields of papers citing papers by Greg Grudic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20182
2 20179
3 201620
4 201633
5 201632
6 201637
7 20151
8 201411
9 201455
10 201320
11 201385
12 201399
13 20108
14 20095
15 200913
16 200710
17
Using Binary Classifiers to Augment Stereo Vision for Enhanced Autonomous Robot Navigation ; CU-CS-1027-07
20074
18 20059
19 20028
20
Exploiting multiple secondary reinforcers in policy gradient reinforcement learning
20011

About Greg Grudic

Greg Grudic is a scholar working on Emergency Medicine, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 638 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (8 papers), Non-Invasive Vital Sign Monitoring (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Modular Robots and Swarm Intelligence (3 papers), Cardiac Arrest and Resuscitation (3 papers), Robotic Path Planning Algorithms (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (126 citations), Emergency Medicine (217 citations) and Cardiology and Cardiovascular Medicine (142 citations). Greg Grudic has collaborated with scholars based in United States and Thailand. Frequent co-authors include Jane Mulligan, Víctor A. Convertino, Steven L. Moulton, Steve Moulton, Jane Mulligan, Camille L. Stewart, Joel M. Esposito, Camillo J. Taylor, B. Southall and George J. Pappas. Their work appears in journals such as The Journal of Trauma: Injury, Infection, and Critical Care, Journal of Field Robotics, The International Journal of Robotics Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Applied Physiology.

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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