A few of the papers I have authored appear on this page. My google scholar page offers a longer list.
A picture of individual wealth in the United States (2008) provides a physicist's look at the distribution of wealth before the 2008 financial crisis.
Information, Impact, Ignorance, Illegality, Investing, and Inequality (2016) notes a trading strategy that likely contributed significantly to growing wealth inequality over the past two decades.
Figuring out a handshake (published in the Feb 2017 edition of Physics World) explains why you do not have the wealth you think you have.
How to Increase Global Wealth Inequality for Fun and Profit (2018) elaborates on the trading strategy that is likely a primary cause of recent increased wealth inequality.
Celebrating Three Decades of Worldwide Stock Market Manipulation (2019) (FAQ) elaborates further.
Strikingly Suspicious Overnight and Intraday Returns (2020) patiently explains that strikingly suspicious return patterns in financial markets are a problem.
They Chose to Not Tell You (2021) documents the failure of others to alert you to strikingly suspicious return patterns in your investments.
They Still Haven't Told You (2022) notes that they still haven't told you.
A Quantitative Measure of Experimental Scientific Merit (2007) proposes an explicit measure for quantifying the scientific merit of completed and proposed experiments.
A Quantitative Measure of Theoretical Scientific Merit (2009) extends this measure to theoretical research and constructs a total measure of scientific merit.
A videotaped seminar presentation (2010) shows common questions and reactions to the idea.
Capitalist Science (2011) extends the scientific measure to the global economy.
This thinking eventually led to Blunt Honesty, Incentives, and Knowledge Exchange (2016), a fully privatized mechanism for knowledge exchange.
This mechanism is The Solution to Science's Replication Crisis (2016).
Vista and Sleuth (D0 PRL, D0 PRD 1, D0 PRD 2, CDF PRL, CDF PRD, CDF public page)
Quaero (D0, H1, L3, Aleph, motivation, algorithm, TurboSim, optimal binning)