Craig Schlenoff
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- Manufacturing Process and Optimization 14
- Artificial Intelligence top 2%
- AI-based Problem Solving and Planning 29
- Semantic Web and Ontologies 28
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- Robotics and Automated Systems 13
- Robot Manipulation and Learning 12
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- Business Process Modeling and Analysis 9
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 17
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- Autonomous Vehicle Technology and Safety 25
Craig Schlenoff
110 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 263
- Artificial Intelligence 631
- Control and Systems Engineering 376
- Management Information Systems 109
- Information Systems 268
Countries citing papers authored by Craig Schlenoff
This map shows the geographic impact of Craig Schlenoff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Craig Schlenoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Schlenoff more than expected).
Fields of papers citing papers by Craig Schlenoff
This network shows the impact of papers produced by Craig Schlenoff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Craig Schlenoff. The network helps show where Craig Schlenoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Craig Schlenoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2016 | 6 | |
| 4 | 2016 | 15 | |
| 5 | 2011 | 2 | |
| 6 | Applying Automated Metrics to Speech Translation Dialogs. | 2008 | 9 |
| 7 | Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST | NIST | 2007 | 13 |
| 8 | Performance Analysis of Symbolic Road Recognition for On-Road Driving | NIST | 2007 | 1 |
| 9 | 2007 | 5 | |
| 10 | Overview of the First Advanced Technology Evaluations for ASSIST | NIST | 2006 | 6 |
| 11 | 2005 | 7 | |
| 12 | The Effect of Process Models on Short-term Prediction of Moving Objects for Autonomous Driving | 2005 | 6 |
| 13 | 2004 | 5 | |
| 14 | PRIDE: A Framework for Performance Evaluation of Intelligent Vehicles in Dynamic, On-Road Environments | 2004 | 5 |
| 15 | Integrating Disparate Knowledge Representations within 4D/RCS. | 2004 | 1 |
| 16 | 2004 | 7 | |
| 17 | Developing World Model Data Specifications as Metrics for Sensory Processing for On-Road Driving Tasks | 2003 | 5 |
| 18 | Knowledge Engineering for Real Time Control | 2002 | 0 |
| 19 | The essence of the process specification language | 1999 | 29 |
| 20 | Using Process Requirements as the Basis for the Creation and Evaluation of Process Ontologies for Enterprise Modeling | NIST | 1997 | 1 |
About Craig Schlenoff
Craig Schlenoff is a scholar working on Automotive Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 123 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (29 papers), Semantic Web and Ontologies (28 papers), Autonomous Vehicle Technology and Safety (25 papers), Service-Oriented Architecture and Web Services (17 papers), Manufacturing Process and Optimization (14 papers), Robotics and Automated Systems (13 papers), Robot Manipulation and Learning (12 papers) and Business Process Modeling and Analysis (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (263 citations), Artificial Intelligence (631 citations) and Control and Systems Engineering (376 citations). Craig Schlenoff has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include Stephen Balakirsky, Zeid Kootbally, Raj Madhavan, Elena R. Messina, Thomas Krämer, Paulo Gonçalves, Brian A. Weiss, Edson Prestes, Satyandra K. Gupta and Sandro Rama Fiorini.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.