Sahar Akram

404 total citations
12 papers, 240 citations indexed

About

Sahar Akram is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sahar Akram has authored 12 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Sahar Akram's work include Neural dynamics and brain function (6 papers), Hearing Loss and Rehabilitation (6 papers) and Neuroscience and Music Perception (5 papers). Sahar Akram is often cited by papers focused on Neural dynamics and brain function (6 papers), Hearing Loss and Rehabilitation (6 papers) and Neuroscience and Music Perception (5 papers). Sahar Akram collaborates with scholars based in United States, Burundi and France. Sahar Akram's co-authors include Jonathan Z. Simon, Behtash Babadi, Shihab Shamma, Alireza Sheikhattar, Tao Zhang, Alessandro Presacco, Daniel Pressnitzer, Vincent Adam, Maneesh Sahani and Bernhard Englitz and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Sahar Akram

12 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahar Akram United States 6 213 112 39 14 13 12 240
Dorothée Arzounian France 5 180 0.8× 49 0.4× 28 0.7× 4 0.3× 14 1.1× 8 213
Neetha Das Belgium 9 409 1.9× 242 2.2× 42 1.1× 34 2.4× 19 1.5× 10 459
Sai Ma China 10 151 0.7× 65 0.6× 10 0.3× 6 0.4× 18 1.4× 17 276
Nils Peters Canada 8 89 0.4× 134 1.2× 13 0.3× 6 0.4× 20 1.5× 43 234
Eline Verschueren Belgium 9 222 1.0× 70 0.6× 29 0.7× 8 0.6× 14 1.1× 11 225
Tamás M. Bõhm Hungary 10 322 1.5× 54 0.5× 158 4.1× 6 0.4× 36 2.8× 18 376
Daniel Arfib France 7 100 0.5× 173 1.5× 9 0.2× 19 1.4× 11 0.8× 21 236
Joshua P. Kulasingham United States 9 157 0.7× 33 0.3× 22 0.6× 2 0.1× 15 1.2× 17 185
Ayan Sengupta Germany 5 122 0.6× 44 0.4× 17 0.4× 4 0.3× 13 1.0× 9 229

Countries citing papers authored by Sahar Akram

Since Specialization
Citations

This map shows the geographic impact of Sahar Akram'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 Sahar Akram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sahar Akram more than expected).

Fields of papers citing papers by Sahar Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sahar Akram. 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 Sahar Akram. The network helps show where Sahar Akram may publish in the future.

Co-authorship network of co-authors of Sahar Akram

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

All Works

12 of 12 papers shown
1.
Englitz, Bernhard, Sahar Akram, Mounya Elhilali, & Shihab Shamma. (2024). Decoding contextual influences on auditory perception from primary auditory cortex. eLife. 13. 1 indexed citations
2.
Akram, Sahar, et al.. (2018). Real-Time Tracking of Selective Auditory Attention From M/EEG: A Bayesian Filtering Approach. Frontiers in Neuroscience. 12. 262–262. 79 indexed citations
3.
Akram, Sahar, et al.. (2018). Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering. PubMed. abs 1411 3406. 25–28. 3 indexed citations
4.
Shakoori, Abdul Rauf, et al.. (2018). Impact of λ-Cyhalothrin on Carbohydrate Metabolizing Enzymes and Macromolecules of a Stored Grain Pest, Trogoderma granarium. Pakistan Journal of Zoology. 50(4). 5 indexed citations
5.
Akram, Sahar, et al.. (2017). Prior context in audition informs binding and shapes simple features. Nature Communications. 8(1). 15027–15027. 39 indexed citations
6.
Akram, Sahar, Jonathan Z. Simon, & Behtash Babadi. (2016). Dynamic Estimation of the Auditory Temporal Response Function From MEG in Competing-Speaker Environments. IEEE Transactions on Biomedical Engineering. 64(8). 1896–1905. 30 indexed citations
7.
Akram, Sahar, Alessandro Presacco, Jonathan Z. Simon, Shihab Shamma, & Behtash Babadi. (2015). Robust decoding of selective auditory attention from MEG in a competing-speaker environment via state-space modeling. NeuroImage. 124(Pt A). 906–917. 58 indexed citations
8.
Akram, Sahar, Alain de Cheveigné, Peter U. Diehl, et al.. (2015). Telluride Decoding Toolbox. 1 indexed citations
9.
Akram, Sahar, Jonathan Z. Simon, Shihab Shamma, & Behtash Babadi. (2014). A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment. Neural Information Processing Systems. 27. 460–468. 5 indexed citations
10.
Akram, Sahar, Bernhard Englitz, Mounya Elhilali, Jonathan Z. Simon, & Shihab Shamma. (2014). Investigating the Neural Correlates of a Streaming Percept in an Informational-Masking Paradigm. PLoS ONE. 9(12). e114427–e114427. 12 indexed citations
11.
Englitz, Bernhard, Sahar Akram, Stephen V. David, et al.. (2013). Putting the Tritone Paradox into Context: Insights from Neural Population Decoding and Human Psychophysics. Advances in experimental medicine and biology. 787. 157–164. 5 indexed citations
12.

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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2026