Messinas, E. V. (2026). The Enigma of Aragon Synagogue in Kastoria, Greece: Reconstruction of a lost heritage through architecture, archival research and digital technology. Balkan Studies/Études Balkaniques, 62(2), 343.
https://etudesbalk.org/elias-v-messinas/
Scimago H-index: 3
Q4 History, Q4 Literature and Literary Theory, Q4 Religious Studies
Fruchtman, A. (2026). Uniform circularly rotating electric field and magnetic field across a cylinder. Physics of Plasmas, 33(7).
Web of Science Impact Factor: 2.5
Q2 PHYSICS, FLUIDS & PLASMAS 21/43, percentile 52.3
Scimago H-index: 187
Q2 Condensed Matter Physics
Bagno, E., & Garber, D. (2026). Touchard-Riordan Polynomials and Schur-positivity of Set Partitions. arXiv preprint arXiv:2606.13149.
https://arxiv.org/abs/2606.13149v1
Mewomo, O. T., Alakoya, T. O., & Gibali, A. (2026). An S-iteration Tseng splitting method for solving monotone inclusion and fixed point problems with applications. EURO Journal on Computational Optimization, 100131.
https://www.sciencedirect.com/science/article/pii/S2192440626000055
Web of Science Impact Factor: 1.2
Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 85/109, percentile 22.48
Scimago H-index: 25
Q2 Management Science and Operations Research, Q2 Computational Mathematics,
Q2 Control and Optimization, Q2 Modeling and Simulation
Karp, D., & Vishnyakova, A. (2026). Generalized f-Eulerian polynomials: zeros and hypergeometric representations with applications. Linear Algebra and its Applications.
Web of Science Impact Factor: 1.1
Q2 MATHEMATICS 130/492, percentile 73.7
Q3 MATHEMATICS, APPLIED 189/345, percentile 45.4
Scimago H-index: 118
Q1 Algebra and Number Theory, Q1 Discrete Mathematics and Combinatorics,
Q1 Geometry and Topology, Q1 Numerical Analysis
Atia, T., Aperstein, Y., & Apartsin, A. (2026). SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications. IEEE Access, 14, 101292 – 101303
https://ieeexplore.ieee.org/abstract/document/11592329
Web of Science Impact Factor: 4.2
Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS 100/266, percentile 62.6
Q2 ENGINEERING, ELECTRICAL & ELECTRONIC 124/369, percentile 66.5
Q2, TELECOMMUNICATIONS 53/127 percentile 58.7
Scimago H-index: 338
Q1 Computer Science (miscellaneous), Q1 Engineering (miscellaneous),
Q1 Materials Science (miscellaneous)
Aharon, U., Dvir, A., Dubin, R., Marbel, R., & Hajaj, C. (2026, May). Uncovering Microservice Faults: A Temporal Graph Approach to Root Cause Analysis. In ICC 2026-IEEE International Conference on Communications (pp. 1-6). IEEE.
https://ieeexplore.ieee.org/abstract/document/11586787
Levin, I., & Gero, A. (2026). Beyond Deterministic Design: Engineering Education for AI-Enabled Heterogeneous Systems. Innovations in Pedagogy and Technology, 3(2), 80-99
https://journals.niepublish.com/index.php/ipt/article/view/101068
Avidov-Ungar, O., & Friebroon-Yesharim, M. (2026). AI-Based Personalized Learning for Professional Development: A Systematic Review and Cross-Sector Comparison of Knowledge-Intensive Organizations and Educational Organizations Using the Nine-Cell Model. Education Sciences, 16(7), 1165.
https://www.mdpi.com/2227-7102/16/7/1165
Web of Science Impact Factor: 3.5
Q1 EDUCATION & EDUCATIONAL RESEARCH 97/760, percentile 87.3
Scimago H-index: 85
Q2 Computer Science Applications, Q1 Computer Science (miscellaneous),
Q1 Physical Therapy, Sports Therapy and Rehabilitation,
Q2 Developmental and Educational Psychology, Q1 Education,
Q1 Public Administration
Meishar-Tal, H. (2025). Scientific writing in the age of generative AI: usage patterns and ethical considerations among Israeli researchers. Ethics & Behavior, 36(5), 369-384.
https://www.tandfonline.com/doi/full/10.1080/10508422.2025.2562589
Web of Science Impact Factor: 2.3
Q2 ETHICS 23/78, percentile 71.2
Q2 PSYCHOLOGY, MULTIDISCIPLINARY 73/222, percentile 67.3
Scimago H-index: 59
Q2 Psychology (miscellaneous), Q2 Social Psychology
Meishar-Tal, H., Seifert, T., & Shonfeld, M. (2026, June). Faculty Response to Generative AI: Attitudes, Change in Practice and Policy Towards Students’ Use. In International Conference on Artificial Intelligence in Education (pp. 20-28). Cham: Springer Nature Switzerland.
https://link.springer.com/chapter/10.1007/978-3-032-29770-9_3
Hadar, O., Amzalag, M., Kurtz, G., & Kolikant, Y. B. D. (2026). Beyond adoption: Teachers’ pedagogical reasoning about generative artificial intelligence in schooling. Teaching and Teacher Education, 181, 105746.
https://www.sciencedirect.com/science/article/pii/S0742051X26003707
Web of Science Impact Factor: 4.3
Q1 EDUCATION & EDUCATIONAL RESEARCH 61/760, percentile 92.0
Scimago H-index: 185
Q1 Education
Kurtz, G., & Amzalag, M. (2026). Mapping the Interplay Between Perceived Personal Skills, Self-Regulated Learning, and Metacognitive Engagement with Generative AI. Systems, 14(8), 884.
https://www.mdpi.com/2079-8954/14/8/884
Web of Science Impact Factor: 3.8
Q1 SOCIAL SCIENCES, INTERDISCIPLINARY 18/275, percentile 93.6
Friman, H., & Elishar, V. (2026). AI-Driven Climate Disaster Simulations and Public Engagement in Agro-Ecological Risk Contexts. Sustainability, 18(12), 6036.
https://www.mdpi.com/2071-1050/18/12/6036
Web of Science Impact Factor: 4.1
Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY 73/114, percentile36.4
Q2 ENVIRONMENTAL SCIENCES 171/395, percentile 56.8
Q2 ENVIRONMENTAL STUDIES 70/202, percentile 65.6
Scimago H-index: 242
Q2 Computer Networks and Communications, Q2 Hardware and Architecture,
Q2 Energy Engineering and Power Technology,
Q2 Renewable Energy, Sustainability and the Environment,
Q2 Environmental Science (miscellaneous), Q2 Management, Monitoring, Policy and Law
Q1 Geography, Planning and Development
Perets, T. T.,Thurm, T., Ben-Yehoyada, M,. … Dickman, R. (2026). A national consensus guideline on the performance and interpretation of hydrogen- and methane-based breath tests for carbohydrate malabsorption, small intestinal bacterial overgrowth, and intestinal methanogen overgrowth. Annals of Gastroenterology, 36, 1-7
https://www.webofscience.com/wos/woscc/full-record/WOS:001807715800001
Web of Science Impact Factor: 2.7
Q3 GASTROENTEROLOGY & HEPATOLOGY 77/153, percentile 55.0
Scimago H-index: 61
Q2 Gastroenterology
Shalita, R., Yehuda, M. B., Gur, C., Frid, Y., McGrath, S., Suhler, R., … & Amit, I. (2026). Localized PD-1 CAR T therapy reprograms neuroinflammation. Cell.
https://www.cell.com/cell/abstract/S0092-8674(26)00756-7
Web of Science Impact Factor: 45.1
Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY 3/328, percentile 99.2
Q1 CELL BIOLOGY 5/207, percentile 97.8
Scimago H-index: 956
Q1 Biochemistry, Genetics and Molecular Biology (miscellaneous)
Kordova, S., Hirschprung, R., Fridkin, S. (2026). Virtual Reality in Management and Engineering: Opportunities, Barriers, and Professional Perceptions. In: Vrontis, D., Thrassou, A., Efthymiou, L., Weber, Y., Shams, S.M.R., Tsoukatos, E. (eds) The Expanding Horizons of Business and Management, Volume II. Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business. Palgrave Macmillan, Cham, 361–382
https://link.springer.com/chapter/10.1007/978-3-032-26500-5_15
Nahami, A., Murugan, P. A., Tchelet, D., Assouline, Y., Atiya, Y., Lang-Yona, N., … & Kolodkin-Gal, I. (2026). Synthetic bacterial communities as synergistic anti-corrosion agents. Cell Reports Physical Science, 7(7).
Nahami, A., Murugan, P. A., Tchelet, D., Assouline, Y., Atiya, Y., Lang-Yona, N., … & Kolodkin-Gal, I. (2026). Synthetic bacterial communities as synergistic anti-corrosion agents. Cell Reports Physical Science, 7(7).
https://www.sciencedirect.com/science/article/pii/S2666386426003255?pes=vor&utm_source=scopus&getft_integrator=scopus
Web of Science Impact Factor: 6.9
Q1 CHEMISTRY, MULTIDISCIPLINARY 62/250, percentile 75.4
Q2 ENERGY & FUELS 60/191, percentile 68.8
Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY 122/472, percentile 74.3
Q1 PHYSICS, MULTIDISCIPLINARY 11/112, percentile 90.6
Scimago H-index: 80
Q1 Chemistry (miscellaneous), Q1 Energy (miscellaneous),
Q1 Engineering (miscellaneous), Q1 Materials Science (miscellaneous),
Q1 Physics and Astronomy (miscellaneous)
Inbar, L. S., Kurtz, G., Schler, J., & Butman, A. (2026). Comparative perceptions of students and faculty on the integration of generative AI in higher education: The generative AI divide. In INTED2026 Proceedings: 20th International Technology, Education and Development Conference (p. 333). INTED.
https://dialnet.unirioja.es/servlet/articulo?codigo=10803275
Gelashvili, A., Resheff, Y. S., & Blumrosen, G. (2026). ADHD identification from real-life recorded video. Scientific Reports, 16, 21482
https://www.nature.com/articles/s41598-026-52068-8
Web of Science Impact Factor: 4.9
Q1 MULTIDISCIPLINARY SCIENCES 21/140, percentile 85.4
Scimago H-index: 382
Q1 Multidisciplinary
