Maryam Bijanzadeh

972 total citations
8 papers, 514 citations indexed

About

Maryam Bijanzadeh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Maryam Bijanzadeh has authored 8 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Maryam Bijanzadeh's work include Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Functional Brain Connectivity Studies (3 papers). Maryam Bijanzadeh is often cited by papers focused on Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Functional Brain Connectivity Studies (3 papers). Maryam Bijanzadeh collaborates with scholars based in United States and Finland. Maryam Bijanzadeh's co-authors include Lauri Nurminen, Alessandra Angelucci, Sam Merlin, Frederick Federer, Paul C. Bressloff, Edward F. Chang, Heather E. Dawes, Deanna L. Wallace, S. Shushruth and Simo Vanni and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Maryam Bijanzadeh

8 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maryam Bijanzadeh United States	7	447	176	43	38	38	8	514
Baowang Li United States	10	448 1.0×	161 0.9×	17 0.4×	50 1.3×	30 0.8×	17	546
Adam Messinger United States	11	798 1.8×	151 0.9×	29 0.7×	60 1.6×	44 1.2×	15	997
Rie Kimura Japan	12	239 0.5×	221 1.3×	15 0.3×	69 1.8×	33 0.9×	20	396
M. Gabriela Costello United States	10	372 0.8×	91 0.5×	26 0.6×	35 0.9×	19 0.5×	12	438
Michele Ferrante United States	11	304 0.7×	250 1.4×	19 0.4×	67 1.8×	39 1.0×	18	524
Piotr Majka Poland	15	473 1.1×	132 0.8×	12 0.3×	72 1.9×	39 1.0×	32	657
John T. Arsenault United States	12	755 1.7×	166 0.9×	13 0.3×	43 1.1×	36 0.9×	26	833
Matthew Rosenberg United States	6	258 0.6×	95 0.5×	62 1.4×	14 0.4×	39 1.0×	8	407

Countries citing papers authored by Maryam Bijanzadeh

Since Specialization

Citations

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

Fields of papers citing papers by Maryam Bijanzadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Bijanzadeh

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

All Works

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8 of 8 papers shown

Bijanzadeh, Maryam, Ankit N. Khambhati, Deanna L. Wallace, et al.. (2022). Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG. Nature Human Behaviour. 6(6). 823–836. 24 indexed citations

Balban, Melis Yilmaz, et al.. (2020). Human Responses to Visually Evoked Threat. Current Biology. 31(3). 601–612.e3. 21 indexed citations

Bijanzadeh, Maryam, et al.. (2019). Decoding Natural Positive Emotional Behaviors from Human Fronto-Temporal Mesolimbic Structures. 1088–1092. 2 indexed citations

Rao, Vikram R., Kristin K. Sellers, Deanna L. Wallace, et al.. (2018). Direct Electrical Stimulation of Lateral Orbitofrontal Cortex Acutely Improves Mood in Individuals with Symptoms of Depression. Current Biology. 28(24). 3893–3902.e4. 100 indexed citations

Bijanzadeh, Maryam, Lauri Nurminen, Sam Merlin, Andrew M. Clark, & Alessandra Angelucci. (2018). Distinct Laminar Processing of Local and Global Context in Primate Primary Visual Cortex. Neuron. 100(1). 259–274.e4. 34 indexed citations

Nurminen, Lauri, Sam Merlin, Maryam Bijanzadeh, Frederick Federer, & Alessandra Angelucci. (2018). Top-down feedback controls spatial summation and response amplitude in primate visual cortex. Nature Communications. 9(1). 2281–2281. 114 indexed citations

Angelucci, Alessandra, Maryam Bijanzadeh, Lauri Nurminen, et al.. (2017). Circuits and Mechanisms for Surround Modulation in Visual Cortex. Annual Review of Neuroscience. 40(1). 425–451. 147 indexed citations

Shushruth, S., Lauri Nurminen, Maryam Bijanzadeh, et al.. (2013). Different Orientation Tuning of Near- and Far-Surround Suppression in Macaque Primary Visual Cortex Mirrors Their Tuning in Human Perception. Journal of Neuroscience. 33(1). 106–119. 72 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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