Saad Idrees

467 total citations
11 papers, 246 citations indexed

About

Saad Idrees is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saad Idrees has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saad Idrees's work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (6 papers) and Retinal Development and Disorders (4 papers). Saad Idrees is often cited by papers focused on Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (6 papers) and Retinal Development and Disorders (4 papers). Saad Idrees collaborates with scholars based in Germany, United Kingdom and United States. Saad Idrees's co-authors include Thomas A. Münch, Ziad M. Hafed, Hartwig Seitter, Katja Reinhard, Felix Franke, Antimo Buonocore, Chih-Yang Chen, Xiaoguang Tian, Robert A. Bedford and Riccardo Storchi and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Saad Idrees

11 papers receiving 244 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saad Idrees Germany 7 129 121 96 31 25 11 246
Jacob Baudin United States 6 114 0.9× 152 1.3× 105 1.1× 13 0.4× 17 0.7× 10 263
Lisa C. Diller United States 7 274 2.1× 271 2.2× 169 1.8× 17 0.5× 19 0.8× 7 386
Soon Keen Cheong Australia 9 229 1.8× 157 1.3× 126 1.3× 14 0.5× 8 0.3× 15 295
Areti Tzelepi Greece 11 312 2.4× 58 0.5× 57 0.6× 4 0.1× 14 0.6× 12 385
Arne F. Meyer United Kingdom 7 244 1.9× 76 0.6× 154 1.6× 6 0.2× 5 0.2× 16 314
Katja Reinhard Germany 9 158 1.2× 240 2.0× 219 2.3× 54 1.7× 6 0.2× 14 389
Brett A. Szmajda Australia 10 286 2.2× 266 2.2× 144 1.5× 21 0.7× 17 0.7× 12 393
Julie Quinet France 15 328 2.5× 50 0.4× 47 0.5× 9 0.3× 8 0.3× 22 381
Fuchuan Sun United States 9 178 1.4× 27 0.2× 44 0.5× 16 0.5× 9 0.4× 25 320
Sylvia Schröder Switzerland 6 265 2.1× 47 0.4× 149 1.6× 7 0.2× 29 1.2× 8 304

Countries citing papers authored by Saad Idrees

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Saad Idrees

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Idrees. A scholar is included among the top collaborators of Saad Idrees 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 Saad Idrees. Saad Idrees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Idrees, Saad, Michael B. Manookin, Fred Rieke, Greg D. Field, & Joel Zylberberg. (2024). Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation. Nature Communications. 15(1). 5957–5957. 4 indexed citations
2.
Idrees, Saad, Maria M. Korympidou, Timm Schubert, et al.. (2022). Suppression without inhibition: how retinal computation contributes to saccadic suppression. Communications Biology. 5(1). 692–692. 4 indexed citations
3.
Idrees, Saad, et al.. (2021). Dependence of perceptual saccadic suppression on peri-saccadic image flow properties and luminance contrast polarity. Journal of Vision. 21(9). 2282–2282. 1 indexed citations
4.
Idrees, Saad, et al.. (2021). Dependence of perceptual saccadic suppression on peri-saccadic image flow properties and luminance contrast polarity. Journal of Vision. 21(5). 15–15. 8 indexed citations
5.
Idrees, Saad, et al.. (2020). Perceptual saccadic suppression starts in the retina. Nature Communications. 11(1). 1977–1977. 52 indexed citations
6.
Buonocore, Antimo, Chih-Yang Chen, Xiaoguang Tian, et al.. (2017). Alteration of the microsaccadic velocity-amplitude main sequence relationship after visual transients: implications for models of saccade control. Journal of Neurophysiology. 117(5). 1894–1910. 34 indexed citations
7.
Reinhard, Katja, Riccardo Storchi, Johannes Dietter, et al.. (2017). Rods progressively escape saturation to drive visual responses in daylight conditions. Nature Communications. 8(1). 1813–1813. 77 indexed citations
8.
Idrees, Saad, et al.. (2016). UnitBrowser - A Tool to Evaluate and Post-Process Units Sorted by Automatic Spike Sorting Algorithms. Frontiers in Neuroscience. 10. 2 indexed citations
9.
Reinhard, Katja, et al.. (2014). Step-By-Step Instructions for Retina Recordings with Perforated Multi Electrode Arrays. PLoS ONE. 9(8). e106148–e106148. 50 indexed citations
10.
Idrees, Saad, et al.. (2014). A dataset for Hand-Held Object Recognition. 5881–5885. 7 indexed citations
11.
Idrees, Saad, et al.. (2014). Small Hand-held Object Recognition Test (SHORT). 524–531. 7 indexed citations

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.

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