Mohamed Dekhil
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining 4
- AI-based Problem Solving and Planning 4
- Advanced Text Analysis Techniques 3
- Information Systems top 5%
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- Modular Robots and Swarm Intelligence 7
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- Robotic Path Planning Algorithms 7
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- Robotic Mechanisms and Dynamics 6
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- Robotics and Sensor-Based Localization 4
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- Advanced Memory and Neural Computing 3
- Co-authors
- Riddhiman GhoshMeichun HsuBing LiuLei ZhangThomas C. HendersonTarek SobhUmeshwar DayalMalú Castellanos
- Journals
- The International Journal of Robotics Research (2 papers)Computer Vision and Image Understanding (1 paper)Robotics and Autonomous Systems (1 paper)
- Partner nations
- United StatesGermanyTürkiye
In The Last Decade
Mohamed Dekhil
30 papers receiving 448 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 316
- Information Systems 158
- Statistical and Nonlinear Physics 34
- Computer Networks and Communications 55
- Human-Computer Interaction 13
Countries citing papers authored by Mohamed Dekhil
This map shows the geographic impact of Mohamed Dekhil'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 Mohamed Dekhil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Dekhil more than expected).
Fields of papers citing papers by Mohamed Dekhil
This network shows the impact of papers produced by Mohamed Dekhil. 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 Mohamed Dekhil. The network helps show where Mohamed Dekhil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed Dekhil, 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 | 2011 | 3 | |
| 2 | 2011 | 25 | |
| 3 | Combining lexicon-based and learning-based methods for twitter sentiment analysis | 2011 | 289 |
| 4 | 2010 | 1 | |
| 5 | 2009 | 5 | |
| 6 | 2009 | 27 | |
| 7 | 2002 | 15 | |
| 8 | 2002 | 0 | |
| 9 | 2002 | 3 | |
| 10 | 2002 | 1 | |
| 11 | 2002 | 1 | |
| 12 | 2002 | 0 | |
| 13 | 2001 | 2 | |
| 14 | Remote Management Services Over the Web | 2000 | 2 |
| 15 | E-services Management Requirements | 2000 | 6 |
| 16 | Prototyping a three-link robot manipulator | 1999 | 6 |
| 17 | 1998 | 21 | |
| 18 | 1997 | 1 | |
| 19 | 1996 | 3 | |
| 20 | 1995 | 17 |
About Mohamed Dekhil
Mohamed Dekhil is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems, having authored 35 papers that have together received 491 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (7 papers), Robotic Path Planning Algorithms (7 papers), Robotic Mechanisms and Dynamics (6 papers), Sentiment Analysis and Opinion Mining (4 papers), AI-based Problem Solving and Planning (4 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Memory and Neural Computing (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (316 citations), Information Systems (158 citations) and Statistical and Nonlinear Physics (34 citations). Mohamed Dekhil has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Riddhiman Ghosh, Meichun Hsu, Bing Liu, Lei Zhang, Thomas C. Henderson, Tarek Sobh, Umeshwar Dayal, Malú Castellanos, Lei Zhang and Martin Griss. Their work appears in journals such as The International Journal of Robotics Research, Computer Vision and Image Understanding and Robotics and Autonomous Systems.
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.