Sarah Alhumoud
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Electrical and Electronic Engineering
- Co-authors
- Lewis MackenzieJamal‐Deen AbdulaiMuna Al‐RazganHend S. Al‐KhalifaM. Ould‐KhaouaLatifah AlmuqrenAlexandra I. CristeaNora Al-Twairesh
- Topics
- Sentiment Analysis and Opinion Mining (9 papers)Mobile Ad Hoc Networks (8 papers)Advanced Text Analysis Techniques (7 papers)
- Partner nations
- Saudi ArabiaUnited KingdomBangladesh
In The Last Decade
Sarah Alhumoud
25 papers receiving 298 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 213
- Information Systems 52
- Computer Networks and Communications 37
- Signal Processing 28
- Electrical and Electronic Engineering 27
Countries citing papers authored by Sarah Alhumoud
This map shows the geographic impact of Sarah Alhumoud'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 Sarah Alhumoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Alhumoud more than expected).
Fields of papers citing papers by Sarah Alhumoud
This network shows the impact of papers produced by Sarah Alhumoud. 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 Sarah Alhumoud. The network helps show where Sarah Alhumoud may publish in the future.
Co-authorship network of co-authors of Sarah Alhumoud
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Alhumoud. A scholar is included among the top collaborators of Sarah Alhumoud 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 Sarah Alhumoud. Sarah Alhumoud 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 | 1 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 27 | |
| 10 | 23 | |
| 11 | 43 | |
| 12 | 18 | |
| 13 | 17 | |
| 14 | 23 | |
| 15 | The Dynamic Counter-Based Broadcast for Mobile Ad hoc Networks | 0 |
| 16 | Threshold and RAD analysis of adjusted counter-based broadcast in MANETs | 1 |
| 17 | 2 | |
| 18 | RAD analysis of adjusted counter-based broadcast inMANETs | 7 |
| 19 | 3 | |
| 20 | 19 |
About Sarah Alhumoud
Sarah Alhumoud is a scholar working on Artificial Intelligence, Transportation and Computer Networks and Communications, having authored 29 papers that have together received 313 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Mobile Ad Hoc Networks (8 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Computer Science Applications (23 citations) and Signal Processing (28 citations). Sarah Alhumoud has collaborated with scholars based in Saudi Arabia, United Kingdom and Bangladesh. Frequent co-authors include Lewis Mackenzie, Jamal‐Deen Abdulai, Muna Al‐Razgan, Hend S. Al‐Khalifa, M. Ould‐Khaoua, Latifah Almuqren, Alexandra I. Cristea, Nora Al-Twairesh and Qaisar Abbas. Their work appears in journals such as PLoS ONE, IEEE Access and Artificial Intelligence Review.
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.