Edward McFowland III: h-index, Total Citations, and Citation Map
Edward McFowland III's h-index is 14 (18 i10-index, 2,495+ total citations across 5+ publications) according to Google Scholar as of June 2026. Edward McFowland III is affiliated with Assistant Professor of Technology and Operations Management.
Edward McFowland III is a researcher affiliated with Assistant Professor of Technology and Operations Management, specializing in Machine Learning, Information Systems, Anomaly Detection. Their work has been cited 2,495 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Edward McFowland III's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 14
- i10-Index
- 18
- Total Citations
- 2,495
- Citing Countries
- 12
As of June 2026.
Edward McFowland III has an h-index of 14 and 2,495 total citations across 5 publications, with research cited by institutions in 12 countries.
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Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
20261,761
Top Citing Countries
Top Citing Institutions
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher provided seminal field experimental evidence on how artificial intelligence impacts knowledge worker productivity and quality, establishing a foundational framework for understanding AI's role in organizational settings.
The researcher developed a fast generalized subset scan algorithm for anomalous pattern detection, establishing a foundational method for efficient statistical surveillance in machine learning.
The researcher developed a fast subset scan algorithm for multivariate event detection, establishing a computationally efficient method for identifying anomalies in complex statistical data.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Edward McFowland III's research
Edward McFowland III is a researcher in Machine Learning, Information Systems and Anomaly Detection at Assistant Professor of Technology and Operations Management. Their work has been cited 2,495 times across 5 publications (h-index 14), according to Google Scholar.
Their most-cited work, “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality” (2026), has accumulated 1,761 citations. Other influential works include “Fast Generalized Subset Scan for Anomalous Pattern Detection” (2013) with 150 citations and “Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations” (2023) with 75 citations.
Citations of Edward McFowland III's research come primarily from United States, Germany and Switzerland, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
