1% generated by tables/make_tables.py from /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/informatique/wp44/results/bibliometrics/category_impact_yearly.csv2\begin{longtable}{lrrrrrrrrr}3\caption{Gini coefficient of 36-month citations $c^{(36)}$ by primary category and publication year, for years with a complete window; baseline mean, change of the last complete year against it, and share uncited at 36 months in that year.}\label{tab:net_category_gini}\\4\toprule5\textbf{Category} & \textbf{2018} & \textbf{2019} & \textbf{2020} & \textbf{2021} & \textbf{2022} & \textbf{2023} & \textbf{Base mean} & \textbf{2023 $-$ base} & \textbf{Uncited 2023 (\%)} \\6\midrule7\endfirsthead8\toprule9\textbf{Category} & \textbf{2018} & \textbf{2019} & \textbf{2020} & \textbf{2021} & \textbf{2022} & \textbf{2023} & \textbf{Base mean} & \textbf{2023 $-$ base} & \textbf{Uncited 2023 (\%)} \\10\midrule11\endhead12Large Language Models & 0.831 & 0.875 & 0.854 & 0.845 & 0.864 & 0.875 & 0.854 & +0.021 & 30.6 \\13Foundation Models & & & & 0.722 & 0.698 & 0.792 & 0.710 & +0.083 & 27.9 \\14Multimodal AI & 0.754 & 0.761 & 0.726 & 0.690 & 0.712 & 0.756 & 0.729 & +0.027 & 23.7 \\15Generative AI & 0.810 & 0.758 & 0.781 & 0.765 & 0.785 & 0.800 & 0.780 & +0.020 & 30.9 \\16AI Agents and Autonomous Systems & 0.795 & 0.784 & 0.783 & 0.771 & 0.775 & 0.788 & 0.782 & +0.006 & 41.4 \\17Reinforcement Learning & 0.807 & 0.762 & 0.759 & 0.756 & 0.741 & 0.762 & 0.765 & -0.003 & 33.0 \\18Machine Learning Theory & 0.788 & 0.782 & 0.779 & 0.775 & 0.770 & 0.793 & 0.779 & +0.014 & 36.1 \\19Deep Learning Architectures & 0.803 & 0.765 & 0.753 & 0.749 & 0.727 & 0.751 & 0.760 & -0.008 & 29.2 \\20Computer Vision & 0.825 & 0.807 & 0.787 & 0.773 & 0.760 & 0.772 & 0.790 & -0.018 & 28.2 \\21Natural Language Processing & 0.832 & 0.835 & 0.800 & 0.792 & 0.765 & 0.783 & 0.805 & -0.022 & 35.0 \\22Speech and Audio Computing & 0.814 & 0.803 & 0.778 & 0.755 & 0.734 & 0.748 & 0.777 & -0.029 & 37.3 \\23Robotics & 0.716 & 0.706 & 0.688 & 0.688 & 0.688 & 0.712 & 0.697 & +0.015 & 24.0 \\24Human-Computer Interaction & 0.803 & 0.796 & 0.784 & 0.763 & 0.767 & 0.777 & 0.782 & -0.005 & 39.5 \\25Software Engineering & 0.839 & 0.837 & 0.821 & 0.797 & 0.796 & 0.823 & 0.818 & +0.006 & 51.9 \\26Programming Languages & 0.806 & 0.792 & 0.789 & 0.790 & 0.781 & 0.796 & 0.792 & +0.004 & 53.6 \\27Compilers & 0.822 & 0.796 & 0.773 & 0.788 & 0.764 & 0.770 & 0.789 & -0.018 & 45.1 \\28Formal Verification & 0.746 & 0.713 & 0.708 & 0.728 & 0.703 & 0.957 & 0.720 & +0.237 & 39.1 \\29Algorithms and Data Structures & 0.753 & 0.753 & 0.758 & 0.767 & 0.759 & 0.778 & 0.758 & +0.020 & 37.6 \\30Computational Complexity & 0.783 & 0.812 & 0.783 & 0.784 & 0.772 & 0.799 & 0.787 & +0.012 & 46.7 \\31Database Systems & 0.823 & 0.812 & 0.796 & 0.785 & 0.778 & 0.811 & 0.799 & +0.012 & 48.9 \\32Information Retrieval & 0.811 & 0.796 & 0.781 & 0.768 & 0.756 & 0.771 & 0.782 & -0.011 & 37.3 \\33Distributed Computing & 0.793 & 0.774 & 0.752 & 0.742 & 0.731 & 0.803 & 0.758 & +0.045 & 35.4 \\34Cloud Computing & 0.813 & 0.812 & 0.800 & 0.792 & 0.779 & 0.789 & 0.799 & -0.010 & 44.6 \\35Edge Computing & 0.773 & 0.774 & 0.764 & 0.759 & 0.750 & 0.762 & 0.764 & -0.002 & 29.4 \\36Computer Networks & 0.766 & 0.759 & 0.752 & 0.731 & 0.719 & 0.727 & 0.746 & -0.018 & 26.9 \\37Cybersecurity & 0.834 & 0.812 & 0.794 & 0.772 & 0.760 & 0.777 & 0.795 & -0.018 & 38.8 \\38Applied Cryptography & 0.806 & 0.779 & 0.780 & 0.755 & 0.744 & 0.749 & 0.773 & -0.024 & 35.9 \\39Blockchain Systems & 0.869 & 0.862 & 0.817 & 0.794 & 0.807 & 0.785 & 0.830 & -0.045 & 39.3 \\40Computer Architecture & 0.753 & 0.750 & 0.766 & 0.720 & 0.690 & 0.703 & 0.736 & -0.033 & 32.1 \\41Accelerators and AI Hardware & 0.757 & 0.736 & 0.712 & 0.727 & 0.727 & 0.733 & 0.732 & +0.001 & 23.9 \\42Operating Systems & 0.835 & 0.815 & 0.800 & 0.750 & 0.745 & 0.772 & 0.789 & -0.017 & 46.4 \\43Quantum Computing & 0.776 & 0.790 & 0.763 & 0.770 & 0.743 & 0.744 & 0.768 & -0.024 & 31.2 \\44Scientific Computing & 0.704 & 0.708 & 0.729 & 0.727 & 0.681 & 0.696 & 0.710 & -0.014 & 28.4 \\45Computational Biology & 0.782 & 0.762 & 0.757 & 0.730 & 0.735 & 0.731 & 0.753 & -0.023 & 23.2 \\46Computer Graphics & 0.850 & 0.843 & 0.817 & 0.828 & 0.820 & 0.830 & 0.832 & -0.002 & 49.5 \\47Privacy-Preserving Computation & 0.767 & 0.775 & 0.782 & 0.757 & 0.733 & 0.748 & 0.763 & -0.015 & 29.6 \\48Federated Learning & & 0.752 & 0.806 & 0.756 & 0.737 & 0.719 & 0.763 & -0.044 & 24.4 \\49AI Safety and Alignment & 0.844 & 0.823 & 0.798 & 0.771 & 0.737 & 0.799 & 0.795 & +0.004 & 29.6 \\50Sustainable Computing & 0.719 & 0.725 & 0.713 & 0.715 & 0.710 & 0.724 & 0.716 & +0.007 & 27.0 \\51Autonomous Scientific Discovery & & & & 0.756 & 0.749 & 0.862 & 0.753 & +0.109 & 23.3 \\52\bottomrule53\multicolumn{10}{p{0.95\linewidth}}{\footnotesize Gini of $c^{(36)}$ over the works whose primary category is the row category (Section~\ref{sec:m-citations}); a blank cell is a category with no works in the year. Base mean: mean over 2018--2022. The 2023 window ends in 2025, whose slower indexing channels were incomplete at the snapshot, so the 2023 values carry the right-truncation caveat of Table~\ref{tab:citation_windows}. Very small categories and categories whose 2023 value is far from every earlier value may reflect single misattributed records (Section~\ref{sec:net-topcited}). Count of categories whose 2023 Gini exceeds their baseline mean: 7 of the 9 AI/ML categories and 11 of the 31 other categories.}\\54\end{longtable}55