Majid Yazdani
- Artificial Intelligence top 10%
- Information Systems
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Materials Chemistry
- Co-authors
- Andréi Popescu-BelisJames HendersonMohammad Reza ToroghinejadSeyyed Mohammad Hassan HashemiSebastian RiedelRabeeh Karimi MahabadiVeselin StoyanovLambert Mathias
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (11 papers)Text and Document Classification Technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligenceProceedings of the VLDB Endowment
- Partner nations
- SwitzerlandIranUnited States
In The Last Decade
Majid Yazdani
26 papers receiving 270 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 195
- Information Systems 39
- Mechanical Engineering 36
- Computer Vision and Pattern Recognition 24
- Materials Chemistry 23
Countries citing papers authored by Majid Yazdani
This map shows the geographic impact of Majid Yazdani'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 Majid Yazdani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Yazdani more than expected).
Fields of papers citing papers by Majid Yazdani
This network shows the impact of papers produced by Majid Yazdani. 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 Majid Yazdani. The network helps show where Majid Yazdani may publish in the future.
Co-authorship network of co-authors of Majid Yazdani
This figure shows the co-authorship network connecting the top 25 collaborators of Majid Yazdani. A scholar is included among the top collaborators of Majid Yazdani 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 Majid Yazdani. Majid Yazdani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 26 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | Evaluation of Perception of Hospital Signs and its Relationship With Demographic Factors | 3 |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Learning to Rank on Network Data | 4 |
| 16 | Computing Text Semantic Relatedness using the Contents and Links of a Hypertext Encyclopedia | 1 |
| 17 | 43 | |
| 18 | A Just-in-Time Document Retrieval System for Dialogues or Monologues | 1 |
| 19 | A Speech-based Just-in-Time Retrieval System using Semantic Search | 6 |
| 20 | 6 |
About Majid Yazdani
Majid Yazdani is a scholar working on Medical Laboratory Technology, Artificial Intelligence and Family Practice, having authored 32 papers that have together received 299 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (195 citations), Information Systems (39 citations) and Communication (12 citations). Majid Yazdani has collaborated with scholars based in Switzerland, Iran and United States. Frequent co-authors include Andréi Popescu-Belis, James Henderson, Mohammad Reza Toroghinejad, Seyyed Mohammad Hassan Hashemi, Sebastian Riedel, Rabeeh Karimi Mahabadi, Veselin Stoyanov, Lambert Mathias, Luke Zettlemoyer and James Thorne. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Proceedings of the VLDB Endowment.
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.