Institution · Mozilla Foundation
Most cited papers from Mozilla Foundation
What are the most cited papers from Mozilla Foundation?
The most cited paper from Mozilla Foundation is "How open science helps researchers succeed" (Erin C. McKiernan, Philip E. Bourne, C. Titus Brown et al., 2016), with 842 citations. Next come "Data and its (dis)contents: A survey of dataset development and use in machine learning research" (514) and "Digital badges in education" (448).
Showing 50 of 57 papers. Every paper with more than 11 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | How open science helps researchers succeed Erin C. McKiernan, Philip E. Bourne, C. Titus Brown et al. · eLife | 7 Jul 2016 | 842 |
| 2 | Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender et al. · arXiv (Cornell University) | 9 Dec 2020 | 514 |
| 3 | Digital badges in education David Gibson, Nathaniel Ostashewski, Kim Flintoff et al. · Education and Information Technologies | 15 Nov 2013 | 448 |
| 4 | Music, Search, and IoT Tawfiq Ammari, Jofish Kaye, Janice Tsai et al. · ACM Transactions on Computer-Human Interaction | 26 Apr 2019 | 353 |
| 5 | Trace-based just-in-time type specialization for dynamic languages Andreas Gal, Brendan Eich, Mike Shaver et al. | 15 Jun 2009 | 343 |
| 6 | Power to the People? Opportunities and Challenges for Participatory AI Abeba Birhane, William M. Isaac, Vinodkumar Prabhakaran et al. | 6 Oct 2022 | 321 |
| 7 | Emscripten Alon Zakai | 22 Oct 2011 | 241 |
| 8 | Reining in the web with content security policy Sid Stamm, Brandon Sterne, Gervase Markham | 26 Apr 2010 | 194 |
| 9 | You Can't Sit With Us Inioluwa Deborah Raji, Morgan Klaus Scheuerman, Razvan Amironesei | 24 Feb 2021 | 160 |
| 10 | The SMART Platform: early experience enabling substitutable applications for electronic health records Shawn N. Murphy, Elmer Victor Bernstam, David A. Kreda et al. · DSpace@MIT (Massachusetts Institute of Technology) | Oct 2011 | 157 |
| 11 | How AI can distort human beliefs Celeste Kidd, Abeba Birhane · Science | 22 Jun 2023 | 148 |
| 12 | Fast and precise hybrid type inference for JavaScript Brian Hackett, Shuyu Guo | 11 Jun 2012 | 131 |
| 13 | The Forgotten Margins of AI Ethics Abeba Birhane, Elayne Ruane, Thomas Laurent et al. · 2022 ACM Conference on Fairness, Accountability, and Transparency | 20 Jun 2022 | 124 |
| 14 | Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review Piers Gooding, Timothy Kariotis · JMIR Mental Health | 10 Jun 2021 | 99 |
| 15 | AI auditing: The Broken Bus on the Road to AI Accountability Abeba Birhane, Ryan Steed, Victor Ojewale et al. | 9 Apr 2024 | 96 |
| 16 | Dependent types for JavaScript Ravi Chugh, David Herman, Ranjit Jhala | 19 Oct 2012 | 91 |
| 17 | Automated construction of JavaScript benchmarks Gregor Richards, Andreas Gal, Brendan Eich et al. | 22 Oct 2011 | 82 |
| 18 | Space-efficient gradual typing David Herman, Aaron Tomb, Cormac Flanagan · LISP and Symbolic Computation | Jun 2010 | 81 |
| 19 | De-Ossifying the Internet Transport Layer: A Survey and Future Perspectives Giorgos Papastergiou, Gorry Fairhurst, David Ros et al. · IEEE Communications Surveys & Tutorials | 8 Nov 2016 | 76 |
| 20 | Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture Arthur Gwagwa, Emre Kazim, Patti Kachidza et al. · Patterns | Dec 2021 | 73 |
| 21 | Beyond Single‐Mindedness: A Figure‐Ground Reversal for the Cognitive Sciences Mark Dingemanse et al. · Cognitive Science | 2023 | 72 |
| 22 | Choice of Voices Julia Cambre, Jessica Colnago, Jim Maddock et al. | 21 Apr 2020 | 65 |
| 23 | Imaginary Design Workbooks Mark Blythe, Enrique Encinas, Jofish Kaye et al. | 20 Apr 2018 | 65 |
| 24 | The Data-Driven Workplace and the Case for Worker Technology Rights Annette Bernhardt, Lisa Kresge, Reem Suleiman · Industrial and Labor Relations Review | 14 Oct 2022 | 56 |
| 25 | Tracing for web 3.0 Mason Chang, Edwin W. Smith, Rick Reitmaier et al. | 10 Mar 2009 | 51 |
| 26 | The SMART Platform: early experience enabling substitutable applications for electronic health records Kenneth D. Mandl, Joshua C. Mandel, Shawn N. Murphy et al. · Journal of the American Medical Informatics Association | 17 Mar 2012 | 50 |
| 27 | Toxic Content and User Engagement on Social Media: Evidence from a Field Experiment George Beknazar-Yuzbashev, Rafael Jiménez Durán, Jesse McCrosky et al. · SSRN Electronic Journal | 2022 | 45 |
| 28 | The Effect of Ad Blocking on User Engagement with the Web Ben Paul Miroglio, David Zeber, Jofish Kaye et al. | 2018 | 43 |
| 29 | Bringing the web up to speed with WebAssembly Andreas Rossberg, Ben L. Titzer, Andreas Haas et al. · Communications of the ACM | 20 Nov 2018 | 37 |
| 30 | Our Friends Electric: Reflections on Advocacy and Design Research for the Voice Enabled Internet Jon Rogers, Loraine Clarke, Martin Skelly et al. · Northumbria Research Link (Northumbria University) | May 2019 | 36 |
| 31 | Accessible Voice Interfaces Robin N. Brewer, Leah Findlater, Joseph Kaye et al. | 30 Oct 2018 | 34 |
| 32 | Electric agents Rafael Ballagas, Thérèse E. Dugan, Glenda L. Revelle et al. | 22 Feb 2013 | 32 |
| 33 | The Relationships between Data, Power, and Justice in CSCW Research Stevie Chancellor, Shion Guha, Jofish Kaye et al. | 7 Nov 2019 | 30 |
| 34 | Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning Thomas T. Liao, Rohan Taori, Inioluwa Deborah Raji et al. · Neural Information Processing Systems | 20 Aug 2021 | 29 |
| 35 | Why We Need to Bust Some Myths about AI Daniel Leufer · Patterns | Oct 2020 | 27 |
| 36 | Building a local community of practice in scientific programming for life scientists Sarah L. R. Stevens, Mateusz Kuzak, Carlos Martínez-Ortiz et al. · PLoS Biology | 28 Nov 2018 | 27 |
| 37 | LPCNET: Improving Neural Speech Synthesis through Linear Prediction Jean-Marc Valin, Jan Skoglund | 16 Apr 2019 | 25 |
| 38 | How Do People Change Their Technology Use in Protest? Hanlin Li, Nicholas Vincent, Janice Tsai et al. · Proceedings of the ACM on Human-Computer Interaction | 7 Nov 2019 | 23 |
| 39 | Handling and Presenting Harmful Text in NLP Research Hannah Rose Kirk, Abeba Birhane, Bertie Vidgen et al. | 2022 | 22 |
| 40 | GPU Programming in Rust: Implementing High-Level Abstractions in a Systems-Level Language Eric Holk, Milinda Pathirage, Arun Chauhan et al. | May 2013 | 21 |
| 41 | Hacking and Making at Time-Bounded Events Anna A. Filippova, Brad Chapman, R. Stuart Geiger et al. | 16 Feb 2017 | 20 |
| 42 | Panel Joseph Kaye, Joel E. Fischer, Jason Hong et al. | 20 Apr 2018 | 19 |
| 43 | CUI@CSCW: Collaborating through Conversational User Interfaces Martin Porcheron, Leigh Clark, Matt Jones et al. | 15 Oct 2020 | 17 |
| 44 | The impact of optional type information on jit compilation of dynamically typed languages Mason Chang, Bernd Mathiske, Edwin W. Smith et al. | 24 Oct 2011 | 17 |
| 45 | The lost art of mathematical modelling Linnéa Gyllingberg, Abeba Birhane, David J. T. Sumpter · Mathematical Biosciences | 29 May 2023 | 16 |
| 46 | The reanimation of pseudoscience in machine learning and its ethical repercussions Mel Andrews, Andrew Smart, Abeba Birhane · Patterns | Aug 2024 | 15 |
| 47 | AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada et al. · arXiv (Cornell University) | 26 Nov 2021 | 15 |
| 48 | Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm Bogdana Rakova, Renee Marie Shelby, Megan Ma · Big Data & Society | Jul 2023 | 13 |
| 49 | Universal Digital Ad Transparency Laura Edelson, Jason Chuang, Erika Franklin Fowler et al. · SSRN Electronic Journal | 2021 | 13 |
| 50 | VentMon: An open source inline ventilator tester and monitor Robert L. Read, Lauria Clarke, Geoff Mulligan · HardwareX | Apr 2021 | 13 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.