Fahad Saeed
- Molecular Biology
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Spectroscopy top 5%
- Co-authors
- Mohammed AledhariRehma RazzakReza M. PariziJason D. HoffertMark A. KnepperTrairak PisitkunPablo C. SandovalJoseph S. Raiker
- Topics
- Advanced Proteomics Techniques and Applications (23 papers)Metabolomics and Mass Spectrometry Studies (14 papers)Mass Spectrometry Techniques and Applications (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyBioinformatics
- Partner nations
- United StatesThailandIraq
In The Last Decade
Fahad Saeed
72 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 527
- Artificial Intelligence 454
- Cognitive Neuroscience 252
- Computer Networks and Communications 157
- Spectroscopy 154
Countries citing papers authored by Fahad Saeed
This map shows the geographic impact of Fahad Saeed'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 Fahad Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahad Saeed more than expected).
Fields of papers citing papers by Fahad Saeed
This network shows the impact of papers produced by Fahad Saeed. 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 Fahad Saeed. The network helps show where Fahad Saeed may publish in the future.
Co-authorship network of co-authors of Fahad Saeed
This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Saeed. A scholar is included among the top collaborators of Fahad Saeed 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 Fahad Saeed. Fahad Saeed 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 | 11 | |
| 3 | 3 | |
| 4 | 21 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 76 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | Federated Learning: A Survey on Enabling Technologies, Protocols, and Applicationsbreakdown → | 424 |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 51 | |
| 19 | 9 | |
| 20 | 68 |
About Fahad Saeed
Fahad Saeed is a scholar working on Spectroscopy, Cognitive Neuroscience and Artificial Intelligence, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (23 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Mass Spectrometry Techniques and Applications (13 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (454 citations) and Cognitive Neuroscience (252 citations). Fahad Saeed has collaborated with scholars based in United States, Thailand and Iraq. Frequent co-authors include Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Jason D. Hoffert, Mark A. Knepper, Trairak Pisitkun, Pablo C. Sandoval, Joseph S. Raiker, Jae Hwi Song and Muhammad Usman Tariq. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.
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.