Academic Journal
Q1The Leading Edge
About The Leading Edge
About The Leading Edge
The Leading Edge is a peer-reviewed scholarly journal published by Society of Exploration Geophysicists.
Key indicators: ISSN 1070485X, 19383789.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
Publishing in The Leading Edge
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of The Leading Edge?
1070485X, 19383789.
Who publishes The Leading Edge?
Society of Exploration Geophysicists.
Where do I submit to The Leading Edge?
Via the official website.
Is The Leading Edge peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Journal Metrics
A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Demystifying and unifying ELBO for Probabilistic Deep Learning Inversion
Jiajia Sun, Sihong Wu
2026-10-07 · DOI: 10.1190/tle-2026-1113Guided Diffusion Models for Seismic Data Reconstruction via Deep Image Priors and Restoration Operators
Luis Rodríguez-López, Paul Goyes-Peñafiel, Laura Galvis, Henry Arguello et al.
2026-09-30 · DOI: 10.1190/tle-2026-1080From clusters to facies: Integrating domain knowledge into ML-based seismic interpretation in deepwater channels
April Moreno-Ward, Heather Bedle
2026-09-23 · DOI: 10.1190/tle-2026-1089Strainprox: Seismic Time-Strain Inversion with Proximal Solvers
Juan Romero, Wolfgang Heidrich, Lorenzo Casasanta, Volkan Akcelik et al.
2026-09-20 · DOI: 10.1190/tle-2026-1107Lateral Interpretation: A New Method for High Resolution Seismic Stratigraphy
Hamed Sabagh, Hajime Naruse
2026-09-02 · DOI: 10.1190/tle-2026-1078Membership
2026-09-01 · DOI: 10.1190/tle45090709Editorial Calendar
2026-09-01 · DOI: 10.1190/tle45090624Fast reservoir simulation and multiwell placement optimization with low-rank FNO
Qie Zhang, Saleh Nasser, Abdulmohsen Ali, Abdulrahman Mana et al.
2026-09-01 · DOI: 10.1190/tle-2026-1084Rapid 4D seismic insights for reservoir monitoring with raw-data elastic full-wavefield inversion and rock physics inversion
Heng Liu, Edmond Sze, Kaushik Banerji, Young Ho Cha et al.
2026-09-01 · DOI: 10.1190/tle-2026-1102On-demand OBN: Manufacture and field deployment
Jorge Lopez, Samantha Grandi, Nikita Krylov, Alexandre Silva et al.
2026-09-01 · DOI: 10.1190/tle-2026-1110Board Report
2026-09-01 · DOI: 10.1190/tle45090708The Leading Edge Digital Edition - [September 2026] (Volume 45, Issue 9)
2026-09-01 · DOI: 10.1190/tle-v45-n9Meetings Calendar
2026-09-01 · DOI: 10.1190/tle45090711Enhancing fault delineation in highly structured carbonate reservoirs using PSF-convolved synthetic data, deep learning, and seismic preconditioning
Matheus Nilo, Eberton R. de Oliveira Neto, Fábio Júnior Damasceno Fernandes, Leonardo Teixeira et al.
2026-09-01 · DOI: 10.1190/tle-2026-1083Workshop Review: Key insights from the 2025 SEG-DGS Workshop — and how the conversation continues at the SIGHT Symposium in 2026
Ayrat Abdullin, Basem Abduljalil Al-Qadasi, Hugo Armando Olea Huerta, Omar Mrabet et al.
2026-09-01 · DOI: 10.1190/tle45090703Seismic Soundoff: The hardest part of DAS isn’t the technology
Andrew Geary
2026-09-01 · DOI: 10.1190/tle45090712Introduction to this special section: Machine learning
Qie Zhang, Vladimir Kazei, Oleg Ovcharenko, Haibin Di et al.
2026-09-01 · DOI: 10.1190/tle-4509-ss09bPresident’s Page: Geophysics at the center of global energy and sustainability
Rocky Detomo
2026-09-01 · DOI: 10.1190/tle45090625Optimizing towed controlled-source electromagnetic surveys for seafloor and embedded massive sulfides
Keiichi Ishizu, Takafumi Kasaya
2026-09-01 · DOI: 10.1190/tle-2026-1104A data-driven workflow using shallow learning for regional facies classification in carbonates
Eyad AlJishi, Ahmad Awami, Nawaf Alhelal, Abdulmohsen Alali et al.
2026-09-01 · DOI: 10.1190/tle-2026-1081Reviews
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Version History
October 10, 2026 at 5:12 pm
October 9, 2026