Self-trapping in an attractor neural network with nearest neighbor synapses mimics full connectivity. - Raymond Pavloski; Majid Karimi (IJCNN, 1999)

The self-trapping attractor neural network. I. Analysis of a simple 1-D model. - Raymond Pavloski; Majid Karimi (IEEE Trans. Neural Networks, 2003)

The self-trapping attractor neural network-part II: properties of a sparsely connected model storing multiple memories. - Raymond Pavloski; Majid Karimi (IEEE Trans. Neural Networks, 2005)

Square-Root Finding Problem In Graphs, A Complete Dichotomy Theorem - Babak Farzad; Majid Karimi (CoRR, 2012)

On the Road to Making Science of "Art": Risk Bias in Market Scoring Rules. - Majid Karimi; Stanko Dimitrov (Decis. Anal., 2018)

How Blockchain Can Bring Trust and Transparency to the Payment of Crowd Forecasters. - Arthur Carvalho; Majid Karimi (ICIS, 2020)

Aligning the interests of newsvendors and forecasters through blockchain-based smart contracts and proper scoring rules. - Arthur Carvalho; Majid Karimi (Decis. Support Syst., 2021)

Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets. - Majid Karimi; Nima Zaerpour (Eur. J. Oper. Res., 2022)

Probabilistic Set Covering Location Problem in Congested Networks. - Robert Aboolian; Oded Berman; Majid Karimi (Transp. Sci., 2022)

Selecting the Optimal Number of Crowd Workers for Forecasting Tasks. - Arthur Carvalho; Majid Karimi (AMCIS, 2023)

To Subsidize Or Not to Subsidize: A Comparison of Market Scoring Rules and Continuous Double Auctions for Price Discovery. - Majid Karimi; Stanko Dimitrov (Inf. Syst. Frontiers, 2024)

Benefit Maximizing Network Design in the public sector. - Robert Aboolian; Majid Karimi (Comput. Oper. Res., 2025)