Scientific literature: Information overload

A scientometric review of explosives research: Challenges and opportunities

Bruce, A., Timmerman, L. E., Fiakpui, N. A., Lessey, L., Beardah, M. S., Daéid, N. N., & Ménard, H. (2025) · Forensic Science International · doi:10.1016/j.forsciint.2025.112513 · Cited by 1

Factors associated with mental health resilience in the child, adolescent and adult offspring of depressed parents: A systematic literature review

Padaigaitė, E., Maruyama, J. M., Hammerton, G., Rice, F. J., & Collishaw, S. (2025) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2025.100983 · Cited by 1

Queryome: orchestrating retrieval, reasoning, and synthesis across biomedical literature

Punuru, P., Ibtehaz, N., Giri, S. J., Srirangam, H., Tugolukova, E. A., & Kihara, D. (2026) · Journal of Biomedical Semantics · doi:10.1186/s13326-026-00366-5 · Cited by 3

Outcome measures used for evaluating the effectiveness of physiotherapy interventions after anterior cruciate ligament reconstruction: A scoping review

Daszkiewicz, M., Prill, R., Lettner, J., Urban, N., Andrzejczak, K., Witkowski, W., Starzyk, K., Hunter-Giordano, A. O., Reichert, P., & Królikowska, A. (2026) · Knee Surgery Sports Traumatology Arthroscopy · doi:10.1002/ksa.70311 · Cited by 2

Innovative Approaches in Teaching and Learning for Sciences

Chua, L. L., Chia, A. Y. Y., & Yong, P. V. C. (2018) · Advances in higher education and professional development book series · doi:10.4018/978-1-5225-4080-9.ch014 · Cited by 1

Mythbusting AI: What is all the fuss about?

Upshall, M. (2019) · Learned Publishing · doi:10.1002/leap.1211 · Cited by 1

The Quality of Otolaryngology‐ Head and Neck Surgery Literature over the Last Decade

Coulter, M. J., Greene, H., Miller, T., Brady, R., Bennett, C., & Johnson, C. M. (2022) · The Laryngoscope · doi:10.1002/lary.30446 · Cited by 1

The Evolution of Narrativity in Abstracts of the Biomedical Literature between 1989 and 2022

Guizzardi, S., Colangelo, M. T., Mirandola, P., & Galli, C. (2023) · Publications · doi:10.3390/publications11020026 · Cited by 1

Plant Science Knowledge Graph Corpus: a gold standard entity and relation corpus for the molecular plant sciences

Lotreck, S. G., Abá, K. S., Lehti‐Shiu, M. D., Seeger, A., Brown, B. N. I., Ranaweera, T., Schumacher, A. M., Ghassemi, M. M., & Shiu, S. (2023) · in silico Plants · doi:10.1093/insilicoplants/diad021 · Cited by 1

Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature

Lamichhane, P., Kahanda, I., Liu, X., Umapathy, K., Reddivari, S., Christie, C., Arikawa, A. Y., & Ross, J. M. (2023) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1145/3580252.3589435 · Cited by 1

Ortopedi ve travmatoloji araştırmalarında yapay zekâ uygulamaları: Doğal dil işleme potansiyeli

Köse, Ö., Yapar, D., & Boz, M. (2024) · Türk Ortopedi ve Travmatoloji Birliği Derneği · doi:10.5578/totbid.dergisi.2024.13 · Cited by 1

How neurosurgeons maintain and update their professional knowledge in a self-directed learning context

Freeman, J., Raabe, A., Schmitz, F., & Guttormsen, S. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05692-9 · Cited by 2

Spreading the Word: Communicating Evidence‐Based Guidelines About Turner Syndrome to Patients, Parents, Providers, and Payors

Lin, A. E., & Kruszka, P. S. (2025) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.32129 · Cited by 1

Learning to Critically Appraise Rheumatic Disease Literature

Aizer, J., Schell, J. A., Frey, M. B., Tiongson, M. D., & Mandl, L. A. (2019) · Rheumatic Disease Clinics of North America · doi:10.1016/j.rdc.2019.09.006 · Cited by 1

A Primer on the Role of the University’s Attorney

Hunter, R. J., & Shannon, J. H. (2020) · Education Quarterly Reviews · doi:10.31014/aior.1993.03.01.113 · Cited by 1

Strategies for Optimal Time Management in Biostatistical Practice

Veroniki, A. A., & Thabane, L. (2019) · doi:10.37421/jbmbs.2019.10.432 · Cited by 1

Computational Analyses Reveal Fundamental Properties of the Hemophilia Literature in the Last 6 Decades

Lopes, T. J. S., Rios, R. A., & Nogueira, T. M. (2022) · Bioinformatics and Biology Insights · doi:10.1177/11779322221125604 · Cited by 1

Scholarship in anesthesiology: the role of critical appraisal, literature review, quality improvement, journal club, and presentation skills

Fedoruk, K. A., Chan, Y. K., & Williams, C. E. (2023) · International Journal of Obstetric Anesthesia · doi:10.1016/j.ijoa.2023.103639 · Cited by 1

Scientometric correlates of high-quality reference lists in ecological papersPreprint

Mammola, S., Fontaneto, D., Martínez, A., & Chichorro, F. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.27.011106 · Cited by 1

The rise of research on development economics in Vietnam: Analyses and implications for the public and policymakers from SSHPA 2008-2020 datasetPreprint

Ho, M. (2020) · doi:10.31237/osf.io/msy6e · Cited by 1

The data paper as a socio-linguistic epistemic object: A content analysis on the rhetorical moves used in data paper abstractsPreprint

Li, K., & Jiao, C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.01083 · Cited by 1

Auto-STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publicationsPreprint

Zürrer, W. E., Cannon, A. E., Ewing, E., Rosso, M., Reich, D. S., & Ineichen, B. V. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.24.529867 · Cited by 2

Use of Artificial Intelligence in Processing of COVID-19-Related Scientific LiteraturePreprint

Ivantysyn, M., Vaclavikova, D., & Musil, P. (2023) · Preprints.org · doi:10.20944/preprints202304.0647.v1 · Cited by 1

Ohio Journal of Public Health Vol. 5, Issue 2 (July 2023): Full Issue

Ohio Public Health Association OPHA (2023) · Ohio Journal of Public Health · doi:10.18061/ojph.v5i2.9598 · Cited by 1

Linkflows: Towards Genuine Semantic Publishing in Science

Bucur, C.-I. (2024) · doi:10.5463/thesis.592 · Cited by 1

Mining the neuroimaging literaturePreprint

Dockès, J., Oudyk, K., Torabi, M., de la Vega, A. I., & Poline, J. (2024) · eLife · doi:10.7554/elife.94909 · Cited by 1

AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementiaPreprint

Sikirzhytskaya, A., Tyagin, I., Sutton, S. S., Wyatt, M. D., Safro, I., & Shtutman, M. S. (2024) · Research Square · doi:10.21203/rs.3.rs-4750719/v1 · Cited by 1

Embeddings in Literature Screening: A Gentle Introduction to Vectorial Semantics for Life Science InvestigatorsPreprint

Galli, C., Cusano, C., Guizzardi, S., Donos, N., & Calciolari, E. (2024) · Preprints.org · doi:10.20944/preprints202408.1823.v1 · Cited by 1

Barriers and facilitators when implementing interventions for treating patients with musculoskeletal pain across multiple healthcare settings: a qualitative scoping review using the Theoretical Domains Framework (TDF)Preprint

Klausen, M. D., Lindberg, L., Johansen, S. K., Rathleff, M. S., & Lyng, K. D. (2025) · medRxiv · doi:10.1101/2025.01.22.25320947 · Cited by 1

PreprintToPaper dataset: connecting bioRxiv preprints with journal publications

Badalova, F., Sienkiewicz, J., & Mayr, P. (2026) · Scientific Data · doi:10.1038/s41597-026-06867-3 · Cited by 1

FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers

Xi, S., Rao, V., Payan, J., & Shah, N. B. (2025) · arXiv · doi:10.48550/arxiv.2511.21843

The Effective Scientist: A Handy Guide to a Successful Academic Career

Bradshaw, C. J. A., & Campbell, R. T. (2018)

Journals, Please go Further!

Zhang, Y. (2017) · Global Journal of Reproductive Medicine · doi:10.19080/gjorm.2017.01.555574

Opinion Pieces in Surgery

Torchia, M. T., Austin, D. C., & Gitajn, I. L. (2019) · Springer eBooks · doi:10.1007/978-3-030-05120-4_26

One More Tweet: Firms Challenge a Sustainable Future

Tregua, M., & D’Auria, A. (2020) · puntOorg International Journal · doi:10.19245/25.05.pij.5.2.6

Towards Automated Information Retrieval of Process Data and Knowledge from Academic Databases

Lechtenberg, F., Farreres, J., Somoza-Tornos, A., Pacheco-López, A., Espuña, A., & Graells, M. (2021) · Computer-aided chemical engineering/Computer aided chemical engineering · doi:10.1016/b978-0-323-88506-5.50152-2

Learning Entity-Likeness with Multiple Approximate Matches for Biomedical NER

Le, A. N., Morita, H., & Iwakura, T. (2021) · International conference Recent advances in natural language processing · doi:10.26615/978-954-452-072-4_117

The Virtual Theater: The Lure, the Title, the Scene, the Backstage, and the Space

Juurinen, A. (2021) · Springer eBooks · doi:10.1007/978-3-030-84954-2_10

メディアとパトリの島・奄美--地域から情報発信とその文化的苗床との連環を焦点にして

加藤, 晴., & 寺岡, 伸. (2010) · Medical Entomology and Zoology

Science of cloud and climate science: An analysis of the literature over the past 50 yearsPreprint

Sullivan, S. C., & Hoose, C. (2022) · doi:10.1002/essoar.10510355.1

Finding Novel Links in COVID-19 Knowledge Graph Using Graph Embedding Techniques

Patel, A. D., Pai, S. S., Rajamohan, H. R., Bongarala, M., & Rajanala, S. (2022) · Communications in computer and information science · doi:10.1007/978-3-030-96498-6_26

Striving for modernity: Layout and abstracts in the biomedical literature

Galli, C., Colangelo, M. T., & Guizzardi, S. (2022) · Science Editor and Publisher · doi:10.24069/sep-21-02

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing

Devineni, P., Ganesh, P., Sivadas, N., Dhakane, A., Maheshwari, K. C., Herrmannová, D., Kannan, R., Lim, S., Potok, T. E., Chipka, J. B., et al. (2022) · Communications in computer and information science · doi:10.1007/978-3-030-96498-6_21

Come for a swim in our new pool of Education materials

Wilkinson, L. J. (2020) · Journal of Metadata Perfection · doi:10.5555/487hjd

Perspectives from a water research institute on knowledge management for sustainable water managementPreprint

Hering, J. G., Nunnenmacher, L., & von Waldow, H. (2017) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/j4cf7

DOI errors blog

(2020) · Journal of Metadata Perfection · doi:10.5555/457982

Improving the WHO Classification of Tumours by an Evidence-Based Approach: A New Online/Blended Learning Training Program

Ruiz, B. I. I. (2022) · Sustainable development goals series · doi:10.1007/978-3-030-96053-7_6

Microwave effect: analyzing citations from classic theories and their reinventions—a case study from a classic paper in aquatic ecology—Brooks & Dodson, 1965

Setubal, R. B., Farias, D. D. S., Nova, C. C., Aguiar, A. C. F., Rodrigues, T., Lira, R. T. S., Ferreira, A. L. V., de Oliveira, M. R. A., da Costa, L. O., de Lima, S. K. A. F., et al. (2022) · Scientometrics · doi:10.1007/s11192-022-04459-7

The Effectiveness of a Critical Appraisal Skills Workshop 6 Months After Nurses' Participation

Chen, S.-Y., Huang, C.-Y., Chang, Y.-P., Huang, W., & Chang, S. (2022) · The Journal of Continuing Education in Nursing · doi:10.3928/00220124-20220706-08

INFORMATION EXTRACTION FROM SCIENTIFIC TEXTS IN RUSSIAN

Batura, T. V., Bruches, E. P., & Mezentseva, A. A. (2021) · System Informatics · doi:10.31144/si.2307-6410.2021.n19p57-70

Reflections on Urban Crises, the Science-Policy Interface and the Importance of “Tiny Revolts”

White, I. (2022) · Urban Policy and Research · doi:10.1080/08111146.2022.2093183

The applicability and utilization of systematic reviews for clinical practice

Lindsley, K. B. (2022) · Utrecht University Repository (Utrecht University) · doi:10.33540/1513

Fundamental Physics and the Special Vulnerability to Underdetermination

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0006

The Tiktaalik ‘Missing Link’ Novel Predictive Success and the Evidence for Evolution

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0004

The Historical Challenge to Future-Proof Science

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0002

Dedication

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.002.0004

List of Figures

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.002.0007

Scientific Knowledge in a Pandemic

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0008

Do We Know How the Dinosaurs Died?

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0007

Core Argument, Objections, Replies, and Outlook

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0009

Preface

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.002.0006

The Judgement of the Scientific Community

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0005

Meckel’s Successful Prediction of Gill Slits

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.003.0003

Copyright Page

Vickers, P. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192862730.002.0003

Misrepresentation of Scientific Figures

Leaphart, D. M., Cronley, A. C., & Brothers, T. E. (2022) · Springer eBooks · doi:10.1007/978-3-030-99680-2_15

Auto-STEED: A data mining tool for automated extraction of experimental parameters and risk of bias items from in vivo publicationsPreprint

Zürrer, W. E., Cannon, A. E., Ewing, E., Brüschweiler, D., Bugajska, J., Hild, B. F., Rosso, M., Reich, D. S., & Ineichen, B. V. (2023) · Research Square · doi:10.21203/rs.3.rs-2841635/v1

Matching Data from Heterogeneous Databases for Integrated Assessment of Research Productivity\r

Tran, C. J. (2023) · Arsenal Augusta University’s Undergraduate Research Journal · doi:10.21633/issn.2380.5064/s.2023.05.02.69

How health professionals maintain and update their professional knowledge in a self-directed learning contextPreprint

Freeman, J., Raabe, A., Schmitz, F., & Guttormsen, S. (2023) · Research Square · doi:10.21203/rs.3.rs-3127576/v1

Using R to develop a corpus of full-text journal articles

Anderson, B. S., Bani-Yaghoub, M., Kantheti, V., & Curtis, S. (2023) · Journal of Information Science · doi:10.1177/01655515231171362

Make the Most of Your State Public Health Journal

Chatfield, S. (2023) · Ohio Journal of Public Health · doi:10.18061/ojph.v5i2.9569

PARCERIAS DOCENTE-BIBLIOTECÁRIO: RELATO DE EXPERIÊNCIA COMO ALUNA DE DISCIPLINA EM ESCRITA CIENTÍFICA INCORPORANDO COMPETÊNCIA EM INFORMAÇÃO

Vincent, B. R. L. (2023) · Editora Científica Digital eBooks · doi:10.37885/230713797

Estudos e Escrita Científica Multidisciplinar em Ciências da Saúde

(2023) · Editora Científica Digital eBooks · doi:10.37885/978-65-5360-405-6

A Review of Construction Program Delivery Attributes: Bibliometric Analysis of Two Decades

Taheriboshrouyeh, M., Sandanayake, M. S., & Fragomeni, S. (2023) · Buildings · doi:10.3390/buildings13102664

Fakta, følelser og effektiv formidling

Røislien, J. (2023) · Tidsskrift for Den norske legeforening · doi:10.4045/tidsskr.23.0717

Zwischen Disziplinen

Melzer, T., & Rüegg, R. (2024) · doi:10.36202/9783826085819

How Different Are Johnson and Wang? Documenting Discrepancies in the Records of Ethnic Scholars in Scopus

Pham, T. (2024) · Issues in Informing Science and Information Technology · doi:10.28945/5325

Was ist eine Literaturübersicht?

Seidlein, A., & Kahl-Scholz, M. (2024) · Palliative Care und Forschung · doi:10.1007/978-3-658-43829-6_2

Author Response: Mining the neuroimaging literature

Dockès, J., Oudyk, K., Torabi, M., de la Vega, A. I., & Poline, J. (2024) · eLife · doi:10.7554/elife.94909.1.sa4

A Scoping Review of Firefighters' Health Behaviors and Chronic Diseases

Glasgow, T. E., Burch, J. B., Arcan, C., Reading, J. M., Theal, M., Cyrus, J. W. W., & Fuemmeler, B. F. (2024) · American Journal of Health Behavior · doi:10.5993/ajhb.48.3.16

Educator's blueprint: A how-to guide for creating a high-quality infographic

Gottlieb, M. A., Ibrahim, A. M., Martin, L. J., Yılmaz, Y., & Chan, T. M. (2024) · doi:10.32920/27931776

Educator's blueprint: A how-to guide for creating a high-quality infographic

Gottlieb, M. A., Ibrahim, A. M., Martin, L. J., Yılmaz, Y., & Chan, T. M. (2024) · doi:10.32920/27931776.v1

PubMed Commons: What Happened on the Way to the Forum? Retrospective Explanatory Case Study Research and Lessons Learned from the U.S. National Library of Medicine's Online Forum for Open Science

Farabough, M. (2021) · University of North Texas Digital Library (University of North Texas) · doi:10.12794/metadc1873807

Unlocking Scholarly Article Insights: Creating a Scholarly Article Content Extraction Tool –Objectives, Methodology, and a Comparative Analysis of Summary ResultsPreprint

Ma, W., & Spagna, M. E. (2025) · Research Square · doi:10.21203/rs.3.rs-5961778/v1

A New Approach to Cancer Second Opinions: Overcoming the Challenges of Conventional Oncology Practice by Providing Education to Patients and Physicians

Barrett, W. L., Leming, P. D., Hunt, J., Guinigundo, A. S., Uhrig, L. K., Zon, R. T., & Jazieh, A. R. (2025) · Journal of Cancer Education · doi:10.1007/s13187-025-02603-4

Automating Risk of Bias Inference in Clinical Studies

Dias, A. C., Moreira, V. P., & Comba, J. L. D. (2025) · doi:10.5753/sbcas_estendido.2025.7404

RoBIn Chatbot: Leveraging LLMs for Automated Risk of Bias Assessment in Clinical Studies

Dias, A. C., Moreira, V. P., & Comba, J. L. D. (2025) · doi:10.5753/sbcas_estendido.2025.7734

Global Research Trends and Collaborative Networks in Cellular Therapy for Crohn’s Disease: A Systematic Review and Bibliographic Analysis

Akkoç, T. (2025) · Advances in experimental medicine and biology · doi:10.1007/5584_2025_866

The Specialist’s Paradox: Generalist AI May Better Organize Medical Knowledge

Galli, C., Colangelo, M. T., Meleti, M., & Calciolari, E. (2025) · Algorithms · doi:10.3390/a18070451

Las revisiones de literatura: el caso del color animal

Michán, L., Ramírez-Álvarez, D., & Muñoz‐Velasco, I. (2025) · Revista Colombiana de Ciencia Animal - RECIA · doi:10.24188/recia.v17.n1.2025.1076

Design, optimization, and inoculum development for culturing the cells

Mittal, H. N., Kushwaha, O. S., & Karri, R. R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-31476-6.00016-6

Too much science

Pernagallo, G. (2025) · Economics of Governance · doi:10.1007/s10101-025-00335-1 · Cited by 1

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

Wehr, G., Rideaux, R., Fox, A. J., Lightfoot, D. R., Tangen, J. M., Mattingley, J. B., & Ehrhardt, S. E. (2026) · Advanced Science · doi:10.1002/advs.76675

Peer review is in peril: what can we do about it?

Eubanks, A., & Racowsky, C. (2025) · Fertility and Sterility · doi:10.1016/j.fertnstert.2025.10.015

OndePublicar.com: A Collaborative Web Platform about Academic Events and Journals Accepting Paper Submissions

Beckhauser, W. J., & Fileto, R. (2025) · Simpósio Brasileiro de Bancos de Dados (SBBD) · doi:10.5753/sbbd.2025.247247

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models

Gökdemir, O., Getty, N., Underwood, R., Madireddy, S., Cappello, F., Ramanathan, A., Foster, I. T., & Stevens, R. L. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3731599.3767410

Rapid Clinical Evidence Explorer: A Generative Pre-Trained Transformer–Powered Tool for Automated Oncology Evidence Extraction

Im, E., Kim, B. Y., Kang, S., & Kim, H. (2025) · JCO Clinical Cancer Informatics · doi:10.1200/cci-25-00233

Defining and Evaluating Cell–Cell Relation Extraction from Biomedical Literature under Realistic Annotation ConstraintsPreprint

Yoshikawa, M., Miuzuno, T., Ohto, Y., Fujimoto, H., & Kusuhara, H. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.01.691726

Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

Cittadino, J., Traulsen, P., Schmahl, T., Wewetzer, L., Cummerow, J., Flägel, K., Strumann, C., Goetz, K., & Steinhäuser, J. (2025) · JMIR Formative Research · doi:10.2196/77707

Freeing Social and Medical Scientists from the Replication CrisisPreprint

Hyman, M. R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4898637

BioTriplex : a full-text annotated corpus for fine-tuning language models in gene-disease relation extraction tasks

Collins, C., Fytas, P., Karadenız, İ., Zheng, H., Baker, S., Stenius, U., & Korhonen, A. (2026) · Bioinformatics · doi:10.1093/bioinformatics/btag037 · Cited by 2

New On-Line Tools for Scholars: 1

Bloom, F. E. (1995) · Science · doi:10.1126/science.270.5237.715

Keeping Up, Keeping Track: Dealing with Information Overload

Hicks, A. (2014) · CU Scholar (University of Colorado Boulder)

Using Artificial Intelligence to Combat Information Overload in Research

Raymond, D. W. (2019) · IEEE Pulse · doi:10.1109/mpuls.2018.2885843 · Cited by 7

Managing the paper blizzard.

Jh, R., & El, M. (1991) · PubMed

Addressing Information Overload in the Scientific Community

Báez, M., Biruko, A., Casati, F., & Marchese, M. (2010) · IEEE Internet Computing · doi:10.1109/mic.2010.107 · Cited by 21