Mohamed Morchid
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Georges LinarèsTitouan ParcolletRichard DufourRenato De MoriJuan‐Manuel Torres‐MorenoPierre-Michel BousquetDriss MatroufNicholas D. Lane
- Topics
- Natural Language Processing Techniques (16 papers)Speech Recognition and Synthesis (14 papers)Topic Modeling (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingPattern Recognition Letters
- Partner nations
- FranceCanadaUnited Kingdom
In The Last Decade
Mohamed Morchid
27 papers receiving 343 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 192
- Computer Vision and Pattern Recognition 86
- Signal Processing 84
- Electrical and Electronic Engineering 41
- Statistical and Nonlinear Physics 39
Countries citing papers authored by Mohamed Morchid
This map shows the geographic impact of Mohamed Morchid'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 Morchid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Morchid more than expected).
Fields of papers citing papers by Mohamed Morchid
This network shows the impact of papers produced by Mohamed Morchid. 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 Morchid. The network helps show where Mohamed Morchid may publish in the future.
Co-authorship network of co-authors of Mohamed Morchid
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Morchid. A scholar is included among the top collaborators of Mohamed Morchid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Morchid. Mohamed Morchid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 116 | |
| 5 | 52 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 45 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | LIA@RepLab 2013 | 5 |
| 19 | INEX 2012 Benchmark a Semantic Space for Tweets Contextualization. | 4 |
| 20 | Extraction de mots clefs dans des vid'eos Web par Analyse Latente de Dirichlet (LDA-based tagging of Web videos) [in French] | 0 |
About Mohamed Morchid
Mohamed Morchid is a scholar working on Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 31 papers that have together received 354 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Speech Recognition and Synthesis (14 papers) and Topic Modeling (13 papers). The work is most often cited by research in Signal Processing (84 citations), Computational Mathematics (4 citations) and Artificial Intelligence (192 citations). Mohamed Morchid has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Georges Linarès, Titouan Parcollet, Richard Dufour, Renato De Mori, Juan‐Manuel Torres‐Moreno, Pierre-Michel Bousquet, Driss Matrouf, Nicholas D. Lane, Mirco Ravanelli and Yolanda del Río‐Portilla. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Pattern Recognition Letters.
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.