Faisal Alquaddoomi
- Applied Psychology top 10%
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction 3
- Computer Science Applications top 10%
- Transportation top 10%
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- Emotion and Mood Recognition 1
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- Green IT and Sustainability 4
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- Context-Aware Activity Recognition Systems 2
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- Peer-to-Peer Network Technologies 1
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- Academic Publishing and Open Access 1
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- Childhood Cancer Survivors' Quality of Life 1
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- Misinformation and Its Impacts 1
- Co-authors
- Deborah EstrinCheng-Kang HsiehHongsuda TangmunarunkitNithya RamanathanJoshua SelskyJeroen OomsJohn JenkinsLongqi Yang
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Journal of Cancer Survivorship (1 paper)BioData Mining (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Faisal Alquaddoomi
9 papers receiving 186 citations
Peers
Comparison fields: 5 of 56
- Applied Psychology 55
- Human-Computer Interaction 42
- Computer Science Applications 39
- Transportation 31
- Experimental and Cognitive Psychology 29
Countries citing papers authored by Faisal Alquaddoomi
This map shows the geographic impact of Faisal Alquaddoomi'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 Faisal Alquaddoomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faisal Alquaddoomi more than expected).
Fields of papers citing papers by Faisal Alquaddoomi
This network shows the impact of papers produced by Faisal Alquaddoomi. 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 Faisal Alquaddoomi. The network helps show where Faisal Alquaddoomi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Faisal Alquaddoomi, 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 | 2023 | 2 | |
| 2 | 2022 | 6 | |
| 3 | Small Data: Applications and Architecture | 2018 | 2 |
| 4 | 2017 | 27 | |
| 5 | 2017 | 2 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 45 | |
| 8 | 2013 | 0 | |
| 9 | 2013 | 25 | |
| 10 | 2012 | 51 |
About Faisal Alquaddoomi
Faisal Alquaddoomi is a scholar working on Human-Computer Interaction, Applied Psychology and Computer Science Applications, having authored 10 papers that have together received 191 indexed citations. Recurring topics across this work include Green IT and Sustainability (4 papers), Innovative Human-Technology Interaction (3 papers), Context-Aware Activity Recognition Systems (2 papers), Peer-to-Peer Network Technologies (1 paper), Emotion and Mood Recognition (1 paper), Academic Publishing and Open Access (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Applied Psychology (55 citations), Human-Computer Interaction (42 citations) and Computer Science Applications (39 citations). Faisal Alquaddoomi has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Deborah Estrin, Cheng-Kang Hsieh, Hongsuda Tangmunarunkit, Nithya Ramanathan, Joshua Selsky, Jeroen Ooms, John Jenkins, Longqi Yang, Mashfiqui Rabbi and Tanzeem Choudhury. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Journal of Cancer Survivorship, BioData Mining, Computer Methods and Programs in Biomedicine and ACM Transactions on Intelligent Systems and Technology.
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.