| Methodology for Improving the Planning, Execution, and Assessment of Intelligence, Surveillance, and Reconnaissance Operations SL Lingel RAND Corporation, 2007 | 23 | 2007 |
| The future of air force motion imagery exploitation: lessons from the commercial world L Menthe, A Cordova, C Rhodes, R Costello, J Sullivan The RAND Corporation: Project Air Force, 2012 | 19 | 2012 |
| Methodologies for analyzing remotely piloted aircraft in future roles and missions SL Lingel, L Menthe, B Alkire, J Gibson, SA Grossman, RA Guffey, ... RAND, 2012 | 16 | 2012 |
| Leveraging the Past to Prepare for the Future of Air Force Intelligence Analysis B Alkire, A Tingstad, D Benedetti, A Cordova, I Danescu, W Fry, ... RAND, 2016 | 10 | 2016 |
| Assessment of Beddown Alternatives for the F-35 RG McGarvey, JH Bigelow, GJ Briggs, P Buryk, RE Conley, JG Drew, ... Rand Corporation, 2013 | 10 | 2013 |
| The effectiveness of remotely piloted aircraft in a permissive hunter-killer scenario L Menthe, M Hura, C Rhodes Rand, 2014 | 9 | 2014 |
| Command and Control of Joint Air Operations in the Pacific: Methods for Comparing and Contrasting Alternative Concepts B Alkire, S Lingel, C Baxter, CM Carson, C Chen, D Gordon, LM Hanser, ... RAND Corporation, 2018 | 8 | 2018 |
| Motion Imagery Processing and Exploitation (MIPE) A Cordova, L Millard, L Menthe, RA Guffey, CA Rhodes RAND, 2013 | 8 | 2013 |
| A RAND Analysis Tool for Intelligence, Surveillance, and Reconnaissance: The Collections Operations Model L Menthe, J Sullivan Rand Corporation, 2008 | 8 | 2008 |
| Virtual collaboration for a distributed enterprise A Cordova, KM Keller, L Menthe, C Rhodes RAND, 2013 | 7 | 2013 |
| Exploring the feasibility and utility of machine learning-assisted command and control: volume 2, supporting technical analysis M Walsh, L Menthe, E Geist, E Hastings, J Kerrigan, J Leveill, J Margolis, ... Santa Monica CA: Rand Corp, 2021 | 6* | 2021 |
| Technology innovation and the future of Air force intelligence analysis L Menthe, DA Goldfeld, A Tingstad, S Lingel, E Geist, D Brunk, A Wicker, ... RAND Corporation. https://bityl. co/8OoE, 2021 | 6 | 2021 |
| Technology Innovation and the Future of Air Force Intelligence Analysis: Findings and Recommendations L Menthe, DA Goldfeld, A Tingstad, SL Lingel, E Geist, D Brunk, A Wicker, ... RAND, 2021 | 6 | 2021 |
| Operationally relevant artificial training for machine learning: improving the performance of automated target recognition systems LA Zhang, D Baveye, J Léveillé, L Menthe, D Gold, GS Hartnett, J Hagen, ... RAND Corporation, 2020 | 6 | 2020 |
| Understanding the Limits of Artificial Intelligence for Warfighters: Distributional Shift in Cybersecurity Datasets JJ Steier, E Van Hegewald, A Jacques, GS Hartnett, L Menthe RAND, 2024 | 4 | 2024 |
| Emerging Technologies for Intelligence Analysts: Recommendations for the Air Force DCGS Enterprise A Cordova, L Menthe, LD Millard, KM Keller, C Rhodes, J Sullivan Santa Monica, Calif.: RAND Corporation, unpublished draft, 2012 | 4 | 2012 |
| Understanding the Limits of Artificial Intelligence for Warfighters: Volume 2, Distributional Shift in Cybersecurity Datasets A Jacques, E Van Hegewald, L Menthe, GS Hartnett, J Steier RAND Corporation, 2024 | 3 | 2024 |
| Outsmarting Agil e Adversaries in th e Electromagnetic Spectrum P Vedula, A Tingstad, L Menthe, KR Mehta, J Roberts, RA Guffey, ... | 2 | 2023 |
| Graph Theoretic Algorithms for the Ground Based Strategic Deterrent Program: Prioritization and Scheduling D Snyder, C Johnson, P Rockstroh, L Menthe, B Bennett, ... RAND, 2021 | 2 | 2021 |
| Assessing the Value of Intelligence Collected by US Air Force Airborne Intelligence, Surveillance, and Reconnaissance Platforms A Tingstad, DA Goldfeld, L Menthe, RA Guffey, Z Haldeman, ... RAND Corporation, 2021 | 2 | 2021 |
