Institution · Intelligent Software Solutions (United States)
Most cited papers from Intelligent Software Solutions (United States)
What are the most cited papers from Intelligent Software Solutions (United States)?
The most cited paper from Intelligent Software Solutions (United States) is "Personalized search" (James E. Pitkow, Hinrich Schütze, Todd A. Cass et al., 2002), with 331 citations. Next come "Inference of surfaces, 3D curves, and junctions from sparse, noisy, 3D data" (180) and "Using artificial neural networks to generate synthetic well logs" (144).
Showing 50 of 62 papers. Every paper with more than 7 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Personalized search James E. Pitkow, Hinrich Schütze, Todd A. Cass et al. · Communications of the ACM | Sep 2002 | 331 |
| 2 | Inference of surfaces, 3D curves, and junctions from sparse, noisy, 3D data G. Guy, Gérard G. Medioni · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1997 | 180 |
| 3 | Using artificial neural networks to generate synthetic well logs Luisa Rolon, Shahab D. Mohaghegh, Sam Ameri et al. · Journal of Natural Gas Science and Engineering | 29 Oct 2009 | 144 |
| 4 | Recent Developments in Application of Artificial Intelligence in Petroleum Engineering Shahab D. Mohaghegh · Journal of Petroleum Technology | Apr 2005 | 139 |
| 5 | Reservoir simulation and modeling based on artificial intelligence and data mining (AI&DM) Shahab D. Mohaghegh · Journal of Natural Gas Science and Engineering | 27 Oct 2011 | 116 |
| 6 | The Effect of Credibility on Perceived Power1 Mitchell S. Nesler, Herman Aguinis, Brian M. Quigley et al. · Journal of Applied Social Psychology | Sep 1993 | 75 |
| 7 | Reservoir modeling of shale formations Shahab D. Mohaghegh · Journal of Natural Gas Science and Engineering | 27 Feb 2013 | 63 |
| 8 | Shale Analytics: Making Production and Operational Decisions Based on Facts: A Case Study in Marcellus Shale Shahab D. Mohaghegh, Razi Gaskari, Mohammad Maysami · SPE Hydraulic Fracturing Technology Conference and Exhibition | 9 Jan 2017 | 61 |
| 9 | Development of Surrogate Reservoir Models (SRM) for Fast-Track Analysis of Complex Reservoirs Shahab D. Mohaghegh, Abi Modavi, H. H. Hafez et al. · Intelligent Energy Conference and Exhibition | 11 Apr 2006 | 48 |
| 10 | Upward electrical discharges observed above Tropical Depression Dorian Ningyu Liu, Nicholas Spiva, J. R. Dwyer et al. · Nature Communications | 21 Jan 2015 | 48 |
| 11 | Reservoir Simulation and Modeling Based on Pattern Recognition Shahab D. Mohaghegh · SPE Digital Energy Conference and Exhibition | 19 Apr 2011 | 48 |
| 12 | Quantifying Uncertainties Associated With Reservoir Simulation Studies Using Surrogate Reservoir Models Shahab D. Mohaghegh · SPE Annual Technical Conference and Exhibition | 24 Sep 2006 | 47 |
| 13 | Midply Wood Shear Wall System: Concept and Performance in Static and Cyclic Testing Erol Varoḡlu, Erol Karacabeyli, S. F. Stiemer et al. · Journal of Structural Engineering | 18 Aug 2006 | 45 |
| 14 | Uncertainty Analysis of a Giant Oil Field in the Middle East Using Surrogate Reservoir Model Shahab D. Mohaghegh, Hafez Hafez, Razi Gaskari et al. · Abu Dhabi International Petroleum Exhibition and Conference | 5 Nov 2006 | 39 |
| 15 | Modeling, History Matching, Forecasting and Analysis of Shale Reservoirs Performance Using Artificial Intelligence Shahab D. Mohaghegh, Ognjen Grujic, Seed Zargari et al. · SPE Digital Energy Conference and Exhibition | 19 Apr 2011 | 38 |
| 16 | Grid-Based Surrogate Reservoir Modeling (SRM) for Fast Track Analysis of Numerical Reservoir Simulation Models at the Grid block Level Shahab D. Mohaghegh, Shohreh Amini, Vida Gholami et al. · SPE Western Regional Meeting | 21 Mar 2012 | 38 |
| 17 | Uncertainty Analysis of a CO2 Sequestration Project Using Surrogate Reservoir Modeling Technique Shohreh Amini, Shahab D. Mohaghegh, Razi Gaskari et al. · SPE Western Regional Meeting | 21 Mar 2012 | 35 |
| 18 | Intelligent automation of high-performance liquid chromatography method development by means of a real-time knowledge-based approach I. Ting-Po, Randy Smith, Sam Guhan et al. · Journal of Chromatography A | Sep 2002 | 33 |
| 19 | In vivo deep-tissue microscopy with UCNP/Janus-dendrimers as imaging probes: resolution at depth and feasibility of ratiometric sensing Shane Plunkett, Mirna El Khatib, İkbal Şencan et al. · Nanoscale | 2020 | 31 |
| 20 | Reservoir Simulation Using Smart Proxy in SACROC Unit - Case Study Qin He, Shahab D. Mohaghegh, Zhikun Liu · SPE Eastern Regional Meeting | 9 Sep 2016 | 31 |
| 21 | Top-Down Intelligent Reservoir Modeling (TDIRM) Yohaney Gómez, Yasaman Khazaeni, Shahab D. Mohaghegh et al. · SPE Annual Technical Conference and Exhibition | 4 Oct 2009 | 31 |
| 22 | Midply Wood Shear Wall System: Performance in Dynamic Testing Erol Varoḡlu, Erol Karacabeyli, S. F. Stiemer et al. · Journal of Structural Engineering | 16 Jun 2007 | 30 |
| 23 | Application of Surrogate Reservoir Model (SRM) to an Onshore Green Field in Saudi Arabia; Case Study Shahab D. Mohaghegh, Jim Liu, Razi Gaskari et al. · North Africa Technical Conference and Exhibition | 20 Feb 2012 | 29 |
| 24 | Modeling and History Matching of Hydrocarbon Production from Marcellus Shale using Data Mining and Pattern Recognition Technologies Soodabeh Esmaili, Amirmasoud Kalantari-Dahaghi, Shahab D. Mohaghegh · SPE Eastern Regional Meeting | 3 Oct 2012 | 29 |
| 25 | Application of Well-Based Surrogate Reservoir Models (SRMs) to Two Offshore Fields in Saudi Arabia, Case Study Shahab D. Mohaghegh, Jim Liu, Razi Gaskari et al. · SPE Western Regional Meeting | 21 Mar 2012 | 28 |
| 26 | Fast Track Analysis of Shale Numerical Models Amirmasoud Kalantari-Dahaghi, Soodabeh Esmaili, Shahab D. Mohaghegh · SPE Canadian Unconventional Resources Conference | 30 Oct 2012 | 27 |
| 27 | Data-Driven Reservoir Management of a Giant Mature Oilfield in the Middle East Shahab D. Mohaghegh, Razi Gaskari, Mohammad Maysami et al. · SPE Annual Technical Conference and Exhibition | 8 Oct 2014 | 27 |
| 28 | Pattern Recognition and Data-Driven Analytics for Fast and Accurate Replication of Complex Numerical Reservoir Models at the Grid Block Level Shohreh Amini, Shahab D. Mohaghegh, Razi Gaskari et al. | Apr 2014 | 26 |
| 29 | The rise of personal Web pages at work Sara A. Bly, Linda Kay Cook, Tim Bickmore et al. | Apr 1998 | 26 |
| 30 | The knowledge network: knowledge generation during implementation of application software packages Eric Scherer · Logistics Information Management | Aug 2000 | 23 |
| 31 | Top-down, intelligent reservoir modelling of oil and gas producing shale reservoirs: case studies Shahab D. Mohaghegh, Ognjen Gruic, Saeed Zargari et al. · International Journal of Oil Gas and Coal Technology | 2012 | 22 |
| 32 | Artificial Intelligence and Data Mining: Enabling Technology for Smart Fields Shahab D. Mohaghegh · The Way Ahead | Oct 2009 | 20 |
| 33 | Real-Time Billboard Substitution in a Video Stream Gérard G. Medioni, G. Guy, H. Rom et al. | 1999 | 19 |
| 34 | Predictive data analytics application for enhanced oil recovery in a mature field in the Middle East Alklih Mohamad YOUSEF, Ghahfarokhi Payam KAVOUSI, Marwan ALNUAIMI et al. · Petroleum Exploration and Development | Apr 2020 | 18 |
| 35 | Smart Proxy: An Innovative Reservoir Management Tool; Case Study of a Giant Mature Oilfield in the UAE Shahab D. Mohaghegh, Fadhel Abbas Abdulla, Medhat Abdou et al. · Abu Dhabi International Petroleum Exhibition and Conference | 3 Nov 2015 | 18 |
| 36 | Production Management Decision Analysis Using AI-Based Proxy Modeling of Reservoir Simulations – A Look-Back Case Study Shahab D. Mohaghegh, Fareed Abdulla · SPE Annual Technical Conference and Exhibition | 8 Oct 2014 | 18 |
| 37 | A Critical View of Current State of Reservoir Modeling of Shale Assets Shahab D. Mohaghegh · SPE Eastern Regional Meeting | 20 Aug 2013 | 18 |
| 38 | Telemedicine remote multidisciplinary questionnaire screening as a tool for early detection of chronic non-communicable diseases Pavel Vasilievich Seliverstov, Denis S. BEZRUCHKO, Andrey V. Vasin et al. · Meditsinskiy sovet = Medical Council | 12 May 2023 | 17 |
| 39 | Predicting the Influence of Multi-Scale Spatial Autocorrelation on Soil-Landform Modeling Daehyun Kim, Daniel Richard Hirmas, Ryan W. McEwan et al. · Soil Science Society of America Journal | Mar 2016 | 17 |
| 40 | Medication adherence using a smart pill bottle Dana DeMeo, Michael Morena | Oct 2014 | 16 |
| 41 | Evaluation of a national pharmacy‐based syndromic surveillance system PK Muchaal, S Parker, K Meganath et al. · Canada Communicable Disease Report | 3 Sep 2015 | 15 |
| 42 | Forecasting, Sensitivity and Economic Analysis of Hydrocarbon Production from Shale Plays Using Artificial Intelligence & Data Mining Soodabeh Esmaili, Amirmasoud Kalantari-Dahaghi, Shahab D. Mohaghegh · SPE Canadian Unconventional Resources Conference | 30 Oct 2012 | 15 |
| 43 | Informatics United Jan C. Wiemer, Falk Schubert, Martin Granzow et al. · Methods of Information in Medicine | 2003 | 14 |
| 44 | Analytic solutions to modelling exponential and harmonic functions using Chebyshev polynomials: fitting frequency‐domain lifetime images with photobleaching GEORGE C. MALACHOWSKI, Robert M. Clegg, Glen I. Redford · Journal of Microscopy | 27 Nov 2007 | 14 |
| 45 | Data Driven Analytics in Powder River Basin, WY Mohammad Maysami, Razi Gaskari, Shahab D. Mohaghegh · SPE Annual Technical Conference and Exhibition | 30 Sep 2013 | 13 |
| 46 | Real-time sensor validation for autonomous flight control Randall L. Bickford, Timothy Bickmore, V. A. Caluori et al. · 33rd Joint Propulsion Conference and Exhibit | 6 Jul 1997 | 12 |
| 47 | SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection Haochen Li, Rui Zhang, Hantao Yao et al. | 10 Jun 2025 | 11 |
| 48 | Determining the main drivers in hydrocarbon production from shale using advanced data-driven analytics – A case study in Marcellus shale Shahab D. Mohaghegh · Journal of Unconventional Oil and Gas Resources | 4 Aug 2016 | 11 |
| 49 | A Middle-Ware for the Automated Composition and Invocation of Semantic Web Services Based on Temporal HTN Planning Techniques Juan Fernández-Olivares, Tomas Garzón, Luis Emilio Garcia Castillo et al. · Lecture notes in computer science | 29 Oct 2007 | 11 |
| 50 | Using Data-Driven Analytics to Assess the Impact of Design Parameters on Production from Shale Soodabeh Esmaili, Shahab D. Mohaghegh · SPE Annual Technical Conference and Exhibition | 30 Sep 2013 | 10 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.