Bahar Khalighinejad

748 total citations
9 papers, 395 citations indexed

About

Bahar Khalighinejad is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Bahar Khalighinejad has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Signal Processing and 1 paper in Computer Networks and Communications. Recurrent topics in Bahar Khalighinejad's work include Neural dynamics and brain function (6 papers), Neuroscience and Music Perception (6 papers) and Blind Source Separation Techniques (4 papers). Bahar Khalighinejad is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Music Perception (6 papers) and Blind Source Separation Techniques (4 papers). Bahar Khalighinejad collaborates with scholars based in United States, France and Iran. Bahar Khalighinejad's co-authors include Nima Mesgarani, Ashesh D. Mehta, Jose L. Herrero, Hassan Akbari, Hassan Akbari, Shihab Shamma, Stephan Bickel, Giovanni M. Di Liberto, Tasha Nagamine and Hojjat Seyed Mousavi and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Bahar Khalighinejad

9 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bahar Khalighinejad United States	7	329	96	64	49	33	9	395
Xiangbin Teng Germany	9	284 0.9×	70 0.7×	73 1.1×	31 0.6×	16 0.5×	16	322
Søren A. Fuglsang Denmark	8	407 1.2×	176 1.8×	63 1.0×	25 0.5×	17 0.5×	15	488
Siddharth Rajaram United States	3	614 1.9×	218 2.3×	133 2.1×	30 0.6×	23 0.7×	6	667
Gregory B. Cogan United States	7	410 1.2×	76 0.8×	186 2.9×	37 0.8×	16 0.5×	8	490
Bojana Mirkovic Germany	15	617 1.9×	194 2.0×	124 1.9×	15 0.3×	30 0.9×	21	675
Virginie Attina France	7	414 1.3×	127 1.3×	90 1.4×	39 0.8×	81 2.5×	19	497
Manuela Jaeger Germany	10	340 1.0×	98 1.0×	77 1.2×	11 0.2×	9 0.3×	15	368
Trevor Agus France	13	456 1.4×	114 1.2×	147 2.3×	25 0.5×	21 0.6×	25	519
Jonas Vanthornhout Belgium	15	713 2.2×	240 2.5×	105 1.6×	49 1.0×	16 0.5×	35	764
Nicolas Barascud United Kingdom	7	463 1.4×	56 0.6×	144 2.3×	16 0.3×	8 0.2×	9	490

Countries citing papers authored by Bahar Khalighinejad

Since Specialization

Citations

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

Fields of papers citing papers by Bahar Khalighinejad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahar Khalighinejad

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

All Works

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9 of 9 papers shown

Khalighinejad, Bahar, et al.. (2021). Functional characterization of human Heschl's gyrus in response to natural speech. NeuroImage. 235. 118003–118003. 29 indexed citations

Akbari, Hassan, et al.. (2020). Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models. eLife. 9. 45 indexed citations

Shamma, Shihab, Bahar Khalighinejad, Cong Han, et al.. (2020). Learning Speech Production and Perception through Sensorimotor Interactions. Cerebral Cortex Communications. 2(1). tgaa091–tgaa091. 6 indexed citations

Liberto, Giovanni M. Di, et al.. (2020). Neural representation of linguistic feature hierarchy reflects second-language proficiency. NeuroImage. 227. 117586–117586. 31 indexed citations

Khalighinejad, Bahar, Jose L. Herrero, Ashesh D. Mehta, & Nima Mesgarani. (2019). Adaptation of the human auditory cortex to changing background noise. Nature Communications. 10(1). 2509–2509. 57 indexed citations

Akbari, Hassan, Bahar Khalighinejad, Jose L. Herrero, Ashesh D. Mehta, & Nima Mesgarani. (2019). Towards reconstructing intelligible speech from the human auditory cortex. Scientific Reports. 9(1). 874–874. 137 indexed citations

Khalighinejad, Bahar, Tasha Nagamine, Ashesh D. Mehta, & Nima Mesgarani. (2017). NAPLib: An open source toolbox for real-time and offline Neural Acoustic Processing. PubMed. 2017. 846–850. 15 indexed citations

Khalighinejad, Bahar, et al.. (2017). Dynamic Encoding of Acoustic Features in Neural Responses to Continuous Speech. Journal of Neuroscience. 37(8). 2176–2185. 72 indexed citations

Mousavi, Hojjat Seyed, Bahar Khalighinejad, & Babak Hossein Khalaj. (2013). Capacity maximization in MIMO vehicular communication using a novel antenna selection algorithm. 153. 1246–1251. 3 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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