Hmood Al-Dossari
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 10%
- Software top 5%
- Signal Processing top 10%
- Co-authors
- Sultan AlyahyaAdel AssiriAhmed EmamShamsul HudaShafiq AhmadJohn YearwoodKevin LiuAmani S. Ibrahim
- Topics
- Spam and Phishing Detection (7 papers)Sentiment Analysis and Opinion Mining (7 papers)Advanced Text Analysis Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- Saudi ArabiaAustraliaUnited Kingdom
In The Last Decade
Hmood Al-Dossari
36 papers receiving 680 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 451
- Information Systems 314
- Computer Networks and Communications 148
- Software 136
- Signal Processing 70
Countries citing papers authored by Hmood Al-Dossari
This map shows the geographic impact of Hmood Al-Dossari'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 Hmood Al-Dossari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hmood Al-Dossari more than expected).
Fields of papers citing papers by Hmood Al-Dossari
This network shows the impact of papers produced by Hmood Al-Dossari. 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 Hmood Al-Dossari. The network helps show where Hmood Al-Dossari may publish in the future.
Co-authorship network of co-authors of Hmood Al-Dossari
This figure shows the co-authorship network connecting the top 25 collaborators of Hmood Al-Dossari. A scholar is included among the top collaborators of Hmood Al-Dossari 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 Hmood Al-Dossari. Hmood Al-Dossari 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 | 0 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 17 | |
| 8 | 74 | |
| 9 | 17 | |
| 10 | 110 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | 44 | |
| 14 | 21 | |
| 15 | Ontology for Task and Quality Management in Crowdsourcing | 1 |
| 16 | 2 | |
| 17 | 19 | |
| 18 | Modelling Confidence for Quality of Service Assessment in Cloud Computing | 2 |
| 19 | Improving QoS assessment over multiple attributes with asynchronous data | 2 |
| 20 | 1 |
About Hmood Al-Dossari
Hmood Al-Dossari is a scholar working on Computer Science Applications, Information Systems and Software, having authored 38 papers that have together received 732 indexed citations. Recurring topics across this work include Spam and Phishing Detection (7 papers), Sentiment Analysis and Opinion Mining (7 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Software (136 citations), Artificial Intelligence (451 citations) and Information Systems (314 citations). Hmood Al-Dossari has collaborated with scholars based in Saudi Arabia, Australia and United Kingdom. Frequent co-authors include Sultan Alyahya, Adel Assiri, Ahmed Emam, Shamsul Huda, Shafiq Ahmad, John Yearwood, Kevin Liu, Amani S. Ibrahim, Mohamed Abdelrazek and Jemal Abawajy. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.