Benjamin Chidester

847 total citations
11 papers, 157 citations indexed

About

Benjamin Chidester is a scholar working on Biophysics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Chidester has authored 11 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Chidester's work include Single-cell and spatial transcriptomics (3 papers), Image Processing Techniques and Applications (3 papers) and Cell Image Analysis Techniques (3 papers). Benjamin Chidester is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Image Processing Techniques and Applications (3 papers) and Cell Image Analysis Techniques (3 papers). Benjamin Chidester collaborates with scholars based in United States, Singapore and Vietnam. Benjamin Chidester's co-authors include Jian Ma, N. Minh, Tianming Zhou, Sushant P. Sahu, Manas Ranjan Gartia, Georgios Veronis, Minh–Triet Tran, Jiangbo Lu, Hongsheng Yang and Stephen A. Boppart and has published in prestigious journals such as Nature Genetics, Nano Letters and Bioinformatics.

In The Last Decade

Benjamin Chidester

11 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin Chidester United States	7	59	41	36	29	27	11	157
Samuel Davis United Kingdom	7	48 0.8×	26 0.6×	62 1.7×	159 5.5×	24 0.9×	12	268
Dushan N. Wadduwage United States	11	101 1.7×	14 0.3×	85 2.4×	92 3.2×	4 0.1×	23	267
Peng Zheng China	6	50 0.8×	14 0.3×	104 2.9×	77 2.7×	7 0.3×	17	196
Alaa Abdel Latif United States	2	26 0.4×	28 0.7×	58 1.6×	36 1.2×	8 0.3×	3	138
Zixu Wang China	9	79 1.3×	51 1.2×	7 0.2×	25 0.9×	25 0.9×	28	202
Yuchen Gu China	8	66 1.1×	7 0.2×	93 2.6×	80 2.8×	10 0.4×	29	256
Harvey L. Kasdan United States	7	19 0.3×	44 1.1×	20 0.6×	110 3.8×	18 0.7×	24	204
Takeaki Sugimura Japan	7	34 0.6×	41 1.0×	77 2.1×	97 3.3×	7 0.3×	16	230
Vladimír Ulman Czechia	7	80 1.4×	29 0.7×	82 2.3×	30 1.0×	14 0.5×	20	204

Countries citing papers authored by Benjamin Chidester

Since Specialization

Citations

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

Fields of papers citing papers by Benjamin Chidester

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Chidester

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

All Works

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11 of 11 papers shown

Wu, Zhenqin, Ayano Kondo, Benjamin Chidester, et al.. (2024). Discovery and generalization of tissue structures from spatial omics data. Cell Reports Methods. 4(8). 100838–100838. 4 indexed citations

Chidester, Benjamin, et al.. (2023). SpiceMix enables integrative single-cell spatial modeling of cell identity. Nature Genetics. 55(1). 78–88. 44 indexed citations

Chidester, Benjamin, et al.. (2019). Enhanced Rotation-Equivariant U-Net for Nuclear Segmentation. 1097–1104. 20 indexed citations

Sahu, Sushant P., et al.. (2019). Ultrasensitive Three-Dimensional Orientation Imaging of Single Molecules on Plasmonic Nanohole Arrays Using Second Harmonic Generation. Nano Letters. 19(9). 6192–6202. 28 indexed citations

Chidester, Benjamin, Tianming Zhou, N. Minh, & Jian Ma. (2019). Rotation equivariant and invariant neural networks for microscopy image analysis. Bioinformatics. 35(14). i530–i537. 19 indexed citations

Chidester, Benjamin, et al.. (2018). Correlating cellular features with gene expression using CCA. 805–808. 3 indexed citations

Bower, Andrew J., Benjamin Chidester, Joanne Li, et al.. (2017). A quantitative framework for the analysis of multimodal optical microscopy images. Quantitative Imaging in Medicine and Surgery. 7(1). 24–37. 7 indexed citations

Chidester, Benjamin, N. Minh, & Jian Ma. (2017). Discriminative bag-of-cells for imaging-genomics. PubMed. 23. 319–330. 4 indexed citations

Sheele, Johnathan M., et al.. (2014). The Use of Ivermectin to Kill Ixodes Scapularis Ticks Feeding on Humans. Wilderness and Environmental Medicine. 25(1). 29–34. 5 indexed citations

10.

Chidester, Benjamin, et al.. (2014). Efficient Hybrid Tree-Based Stereo Matching With Applications to Postcapture Image Refocusing. IEEE Transactions on Image Processing. 23(8). 3428–3442. 17 indexed citations

11.

Chidester, Benjamin & N. Minh. (2013). Assisting the visually impaired using depth inference on mobile devices via stereo matching. 102. 1–6. 6 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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