Saad Idrees
Impact in
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
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- Advanced Combustion Engine Technologies
Papers in
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- Neural dynamics and brain function 7
- Visual perception and processing mechanisms 6
- Neural and Behavioral Psychology Studies 2
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- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Thomas A. Münch (7 shared papers)Ziad M. Hafed (5 shared papers)Katja Reinhard (2 shared papers)Hartwig Seitter (2 shared papers)Felix Franke (3 shared papers)Katherine E. Davis (1 shared paper)Marius Ueffing (1 shared paper)Petri Ala‐Laurila (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Vision (2 papers)Frontiers in Neuroscience (1 paper)PLoS ONE (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Saad Idrees
13 papers receiving 334 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 138
- Fluid Flow and Transfer Processes 33
- Cellular and Molecular Neuroscience 94
- Endocrine and Autonomic Systems 32
- Sensory Systems 20
Countries citing papers authored by Saad Idrees
This map shows the geographic impact of Saad Idrees'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 Saad Idrees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saad Idrees more than expected).
Fields of papers citing papers by Saad Idrees
This network shows the impact of papers produced by Saad Idrees. 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 Saad Idrees. The network helps show where Saad Idrees may publish in the future.
Co-authors
The 25 scholars most cited alongside Saad Idrees, 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 | 2017 | 93 | |
| 2 | 2020 | 57 | |
| 3 | 2014 | 52 | |
| 4 | 2020 | 51 | |
| 5 | 2017 | 37 | |
| 6 | 2014 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2013 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2016 | 2 | |
| 13 | 2021 | 1 |
About Saad Idrees
Saad Idrees is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Fluid Flow and Transfer Processes and Endocrine and Autonomic Systems, having authored 13 papers that have together received 337 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (6 papers), Retinal Development and Disorders (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Neural and Behavioral Psychology Studies (2 papers), Neuroscience and Neural Engineering (2 papers), Visual Attention and Saliency Detection (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (138 citations), Fluid Flow and Transfer Processes (33 citations), Cellular and Molecular Neuroscience (94 citations), Endocrine and Autonomic Systems (32 citations) and Sensory Systems (20 citations). Saad Idrees has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas A. Münch, Ziad M. Hafed, Katja Reinhard, Hartwig Seitter, Felix Franke, Katherine E. Davis, Marius Ueffing, Petri Ala‐Laurila, Timothy Matthew Brown and Antimo Buonocore. Their work appears in journals such as Nature Communications, Journal of Vision, Frontiers in Neuroscience, PLoS ONE and Journal of Neurophysiology.
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.