Check computer science papers: citations, claims and retractions

Do Agile Managed Information Systems Projects Fail Due to a Lack of Emotional Intelligence?

Luong, T. T., Sivarajah, U., & Weerakkody, V. (2021) · Information Systems Frontiers

Software Engineering Techniques and PracticesEmotional Intelligence and Performance

Cited by 45

Efficient multi-tenant virtual machine allocation in cloud data centers

Li, J., Li, D., Ye, Y., & Lu, X. (2015) · Tsinghua Science and Technology

Cloud Computing and Resource ManagementSoftware-Defined Networks and 5G

Cited by 45

QuRE: The Quantum Resource Estimator toolbox

Suchara, M., Kubiatowicz, J., Faruque, A., Chong, F. T., Lai, C.-Y., & Paz, G. (2013) · 2013 IEEE 31st International Conference on Computer Design (ICCD)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 45

Automatic speech recognition of conversational speech in individuals with disordered speech

Tobin, J., Nelson, P., MacDonald, B., Heywood, R., Cave, R., Seaver, K., Desjardins, A., Jiang, P.-P., & Green, J. R. (2024) · Journal of Speech, Language, and Hearing Research

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 45

How Do Programming Students Use Generative AI?

Rahe, C., & Maalej, W. (2025) · Proceedings of the ACM on Software Engineering

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 45

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Thakur, N., Reimers, N., Rücklé, A., Srivastava, A., & Gurevych, I. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 45

Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

Ur Rehman Ahmed, N., Badshah, A., Adeel, H., Tajammul, A., Daud, A., & Alsahfi, T. (2025) · IEEE Access

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 45

A hierarchical wavelet decomposition for continuous-time SLAM

Anderson, S., Dellaert, F., & Barfoot, T. D. (2014) · 2014 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 44

The Lipschitz Constant of Self-Attention

Kim, H., Papamakarios, G., & Mnih, A. (2020) · arXiv

Neural Networks and ApplicationsAdversarial Robustness in Machine Learning

Cited by 44

Multi-Scale and Occlusion Aware Network for Vehicle Detection and Segmentation on UAV Aerial Images

Zhang, W., Liu, C., Chang, F., & Song, Y. (2020) · Remote Sensing

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 44

Free as in puppies: compensating for ict constraints in citizen science

Wiggins, A. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work

Open Source Software InnovationsMobile Crowdsensing and Crowdsourcing

Cited by 44

EasyQuant: Post-training Quantization via Scale Optimization

Wu, D., Tang, Q., Zhao, Y., Zhang, M., Fu, Y., & Zhang, D. (2020) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 44

A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications

Hossain, M. M., Islam, M. R., Ahamed, M. F., Ahsan, M., & Haider, J. (2024) · Technologies

AI in cancer detectionPrivacy-Preserving Technologies in Data

Cited by 44

Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept

Skarping, I., Larsson, M., & Förnvik, D. (2022) · European Radiology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 44

What motivates enrolment in programming MOOCs?

Luik, P., Suviste, R., Lepp, M., Palts, T., Tõnisson, E., Säde, M., & Papli, K. (2019) · British Journal of Educational Technology

Online Learning and AnalyticsTeaching and Learning Programming

Cited by 44

Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis

Romero, O. J., Zimmerman, J., Steinfeld, A., & Tomasic, A. (2023) · arXiv

Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning

Cited by 44

Fairness in representation: quantifying stereotyping as a representational harm

Abbasi, M., Friedler, S. A., Scheidegger, C., & Venkatasubramanian, S. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 44

rTop-k: A Statistical Estimation Approach to Distributed SGD

Barnes, L. P., Inan, H. A., Isik, B., & Ozgur, A. (2020) · IEEE Journal on Selected Areas in Information Theory

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 44

Uncovering the Periphery: A Qualitative Survey of Episodic Volunteering in Free/Libre and Open Source Software Communities

Barcomb, A., Kaufmann, A., Riehle, D., Stol, K.-J., & Fitzgerald, B. (2020) · IEEE Transactions on Software Engineering

Open Source Software InnovationsNonprofit Sector and Volunteering

Cited by 44

MLVU: Benchmarking Multi-task Long Video Understanding

Zhou, J., Shu, Y., Zhao, B., Wu, B., Liang, Z., Xiao, S., Qin, M., Yang, X., Xiong, Y., Zhang, B., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 44

Grid-Enabled Measures

Moser, R. P., Hesse, B. W., Shaikh, A. R., Courtney, P., Morgan, G., Augustson, E., Kobrin, S., Levin, K. Y., Helba, C., Garner, D., et al. (2011) · American Journal of Preventive Medicine

Research Data Management PracticesSemantic Web and Ontologies

Cited by 44

MOOCs and upskilling in Australia: A qualitative literature study

Santandreu Calonge, D., Aman Shah, M., Riggs, K., Connor, M., & Wang, S. (2019) · Cogent Education

Online Learning and AnalyticsE-Learning and COVID-19

Cited by 44

Systematic review toolbox: a catalogue of tools to support systematic reviews

Marshall, C., & Brereton, P. (2015) · Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering

Software Engineering Techniques and PracticesMeta-analysis and systematic reviews

Cited by 44

SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition

Hu, R., Chen, L., Miao, S., & Tang, X. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems

Cited by 44