Computer Science papers
Pofolia organises Computer Science into 11 subfields: 892 papers in total (1958–2026), each with a short summary. The subfields come first, then the most-cited work across the whole field.
Subfields
- Computer Networks and Communications 86 papers
- Computer Science Applications 78 papers
- Computer Graphics and Computer-Aided Design 79 papers
- Computer Vision and Pattern Recognition 85 papers
- Information Systems 72 papers
- Hardware and Architecture 83 papers
- Computational Theory and Mathematics 74 papers
- Human-Computer Interaction 79 papers
- Signal Processing 84 papers
- Artificial Intelligence 86 papers
- Software 86 papers
At a glance
- Most cited: Deep Residual Learning for Image Recognition (2016, 223,583 citations).
- The 12 papers listed have 928,974 citations between them.
- 3 of the 3 with a known journal quartile appeared in a Q1 journal.
- 6 have a free full text (open access).
- Most frequent journals: arXiv (Cornell University), DROPS (Schloss Dagstuhl – Leibniz Center for Informatics), Communications of the ACM.
- Published between 2012 and 2023.
Most cited across the field
Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”.
Deep Residual Learning for Image Recognition
2016 · 223,583 citations
A new residual learning framework enables training significantly deeper neural networks, achieving state-of-the-art image recognition performance.
Fitting Linear Mixed-Effects Models Using lme4
Journal of Statistical Software · 2015 · Q1 · SJR 3.00 · FWCI 6077.98 · 86,393 citations · Open access
The lme4 package in R provides the `lmer` function to fit linear mixed-effects models using maximum likelihood or REML estimation.
Adam: A Method for Stochastic Optimization
UvA-DARE (University of Amsterdam) · 2014 · FWCI 1726.23 · 84,793 citations
Adam is a new, computationally efficient algorithm for gradient-based optimization of stochastic objective functions, using adaptive estimates of lower-order moments.
Inline Hardware KV-Cache Compression for Long-Context Transformer Inference: An Architectural Case for a Memory-Path Compression Engine
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · FWCI 7347.72 · 77,000 citations · Open access
This paper presents an AI/TP system that automatically proves a significant portion of Mizar theorems, achieving 60% in a hammer setting and 75% when guided by human-selected premises.
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · Q1 · SJR 1.00 · FWCI 4435.36 · 75,715 citations · Open access
A deep convolutional neural network achieved state-of-the-art ImageNet classification, reducing top-5 error rates to 17.0% in 2010 and a winning 15.3% in 2012.
Very Deep Convolutional Networks for Large-Scale Image Recognition
arXiv (Cornell University) · 2014 · 75,542 citations · Open access
Increasing convolutional network depth to 16-19 weight layers, using small 3x3 filters, significantly improves accuracy in large-scale image recognition over prior configurations.
Scikit-learn: Machine Learning in Python
arXiv (Cornell University) · 2012 · 63,878 citations · Open access
Scikit-learn is a new Python module that integrates a wide range of machine learning algorithms for medium-scale problems, designed for non-specialists.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · Q1 · SJR 4.00 · FWCI 1672.08 · 54,589 citations
This paper introduces a Region Proposal Network (RPN) that integrates seamlessly with object detection networks, enabling real-time performance by generating region proposals at nearly no computational cost.
XGBoost
2016 · 49,653 citations · Open access
XGBoost is a novel, scalable tree boosting system designed for high performance on large datasets, achieving state-of-the-art results in machine learning challenges.
Going deeper with convolutions
2015 · 46,948 citations
A novel deep convolutional neural network architecture, Inception, has set a new state-of-the-art for image classification and detection on the ILSVRC14 challenge.
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2018 · FWCI 2503.48 · 45,742 citations
A new framework addresses the challenge of answering qualitative spatial questions by integrating a geoparser, a crisp reasoning system, and answer extraction.
Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
2013 · FWCI 1860.33 · 45,138 citations
This book introduces mediation, moderation, and conditional process analysis, presenting a unified regression-based framework for understanding complex relationships in data.
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