Ian Bowman

4.2k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Ian Bowman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ian Bowman has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ian Bowman's work include Functional Brain Connectivity Studies (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Data Visualization and Analytics (3 papers). Ian Bowman is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Data Visualization and Analytics (3 papers). Ian Bowman collaborates with scholars based in United States and China. Ian Bowman's co-authors include Hong‐Wei Dong, Nicholas N. Foster, Houri Hintiryan, Michael S. Bienkowski, Seita Yamashita, Monica Y. Song, Lin Gou, Arthur W. Toga, Brian Zingg and Maxwell Bay and has published in prestigious journals such as Cell, Nature Communications and Nature Neuroscience.

In The Last Decade

Ian Bowman

10 papers receiving 1.0k citations

Hit Papers

Neural Networks of the Mouse Neocortex 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Bowman United States 7 703 557 173 120 90 10 1.1k
Seita Yamashita United States 4 688 1.0× 569 1.0× 168 1.0× 100 0.8× 82 0.9× 4 1.0k
Nicholas N. Foster United States 8 695 1.0× 592 1.1× 203 1.2× 130 1.1× 90 1.0× 10 1.1k
Monica Y. Song United States 6 739 1.1× 595 1.1× 200 1.2× 101 0.8× 83 0.9× 6 1.2k
Michael S. Bienkowski United States 10 764 1.1× 624 1.1× 186 1.1× 122 1.0× 91 1.0× 18 1.2k
Lin Gou United States 6 719 1.0× 597 1.1× 186 1.1× 104 0.9× 82 0.9× 9 1.2k
Houri Hintiryan United States 10 781 1.1× 605 1.1× 205 1.2× 131 1.1× 91 1.0× 15 1.3k
Sue Ann Koay United States 10 760 1.1× 618 1.1× 213 1.2× 216 1.8× 42 0.5× 13 1.2k
Tony Hyun Kim United States 10 558 0.8× 485 0.9× 144 0.8× 61 0.5× 51 0.6× 11 1.1k
Mark H. Histed United States 15 1.3k 1.8× 1000 1.8× 177 1.0× 49 0.4× 49 0.5× 25 1.5k
Shay Q. Neufeld United States 8 436 0.6× 489 0.9× 171 1.0× 93 0.8× 20 0.2× 9 811

Countries citing papers authored by Ian Bowman

Since Specialization
Citations

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

Fields of papers citing papers by Ian Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Bowman

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

All Works

10 of 10 papers shown
1.
Hahn, Joel D., Larry W. Swanson, Ian Bowman, et al.. (2020). An open access mouse brain flatmap and upgraded rat and human brain flatmaps based on current reference atlases. The Journal of Comparative Neurology. 529(3). 576–594. 17 indexed citations
2.
Zhu, Muye, Junning Li, Michael S. Bienkowski, et al.. (2019). Precise segmentation of densely interweaving neuron clusters using G-Cut. Nature Communications. 10(1). 1549–1549. 33 indexed citations
3.
Bienkowski, Michael S., Ian Bowman, Monica Y. Song, et al.. (2018). Integration of gene expression and brain-wide connectivity reveals the multiscale organization of mouse hippocampal networks. Nature Neuroscience. 21(11). 1628–1643. 132 indexed citations
4.
Hintiryan, Houri, Nicholas N. Foster, Ian Bowman, et al.. (2016). The mouse cortico-striatal projectome. Nature Neuroscience. 19(8). 1100–1114. 328 indexed citations
5.
Zingg, Brian, Houri Hintiryan, Lin Gou, et al.. (2014). Neural Networks of the Mouse Neocortex. Cell. 156(5). 1096–1111. 518 indexed citations breakdown →
6.
Horn, John D. Van, et al.. (2013). Graphical neuroimaging informatics: Application to Alzheimer’s disease. Brain Imaging and Behavior. 8(2). 300–310. 1 indexed citations
7.
Bowman, Ian, Shantanu H. Joshi, & John D. Van Horn. (2012). Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives. Frontiers in Neuroinformatics. 6. 11–11. 11 indexed citations
8.
Bowman, Ian, et al.. (2012). Feature-similarity visualization of MRI cortical surface data. 211–212. 1 indexed citations
9.
Joshi, Shantanu H., Ian Bowman, Arthur W. Toga, & John D. Van Horn. (2011). Brain pattern analysis of cortical valued distributions. PubMed. 1117–1120. 8 indexed citations
10.
Bowman, Ian, Shantanu H. Joshi, & John D. Van Horn. (2011). Query-based coordinated multiple views with Feature Similarity Space for visual analysis of MRI repositories. 267–268. 5 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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