Benjamin Midtvedt

505 total citations
12 papers, 280 citations indexed

About

Benjamin Midtvedt is a scholar working on Biophysics, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Benjamin Midtvedt has authored 12 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 5 papers in Media Technology and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Benjamin Midtvedt's work include Cell Image Analysis Techniques (6 papers), Image Processing Techniques and Applications (5 papers) and Digital Holography and Microscopy (3 papers). Benjamin Midtvedt is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Image Processing Techniques and Applications (5 papers) and Digital Holography and Microscopy (3 papers). Benjamin Midtvedt collaborates with scholars based in Sweden, Germany and Italy. Benjamin Midtvedt's co-authors include Daniel Midtvedt, Giovanni Volpe, Jesús Pineda, Saga Helgadóttir, Erik Olsén, Fredrik Höök, Aykut Argun, Caroline B. Adiels, Jan Swenson and Carlo Manzo and has published in prestigious journals such as Nature Communications, ACS Nano and Analytical Chemistry.

In The Last Decade

Benjamin Midtvedt

11 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Midtvedt Sweden 8 91 90 63 44 36 12 280
Jesús Pineda Colombia 8 61 0.7× 79 0.9× 47 0.7× 54 1.2× 23 0.6× 18 259
Aykut Argun Sweden 5 61 0.7× 51 0.6× 76 1.2× 23 0.5× 23 0.6× 7 272
David B. Ruffner United States 10 303 3.3× 30 0.3× 378 6.0× 18 0.4× 18 0.5× 17 471
Bruce R. Rae United Kingdom 15 195 2.1× 251 2.8× 120 1.9× 20 0.5× 66 1.8× 34 906
Bas Hulsken Netherlands 8 82 0.9× 62 0.7× 48 0.8× 21 0.5× 45 1.3× 12 245
Álvaro Barroso Germany 10 166 1.8× 62 0.7× 170 2.7× 49 1.1× 19 0.5× 35 291
Fang Zhao China 11 163 1.8× 102 1.1× 278 4.4× 12 0.3× 16 0.4× 30 413
Sangeeta Murugkar Canada 12 138 1.5× 194 2.2× 97 1.5× 9 0.2× 40 1.1× 37 428
Jingqiang Li China 12 56 0.6× 6 0.1× 31 0.5× 9 0.2× 25 0.7× 36 469
Xiaolong Zhang China 9 73 0.8× 7 0.1× 43 0.7× 18 0.4× 53 1.5× 44 248

Countries citing papers authored by Benjamin Midtvedt

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Midtvedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Midtvedt

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Midtvedt. A scholar is included among the top collaborators of Benjamin Midtvedt 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 Midtvedt. Benjamin Midtvedt 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.
Midtvedt, Benjamin, Giuseppe Pesce, Andrew B. Schofield, et al.. (2024). Self-assembly of defined core–shell ellipsoidal particles at liquid interfaces. Journal of Colloid and Interface Science. 683(Pt 2). 435–446.
2.
Gan, Wang, Benjamin Midtvedt, Agnese Callegari, et al.. (2024). Nanoalignment by critical Casimir torques. Nature Communications. 15(1). 5086–5086. 9 indexed citations
3.
Midtvedt, Benjamin, Jesús Pineda, Christoph Langhammer, et al.. (2024). Cross-modality transformations in biological microscopy enabled by deep learning. Advanced Photonics. 6(6). 5 indexed citations
4.
Pineda, Jesús, et al.. (2023). Geometric deep learning reveals the spatiotemporal features of microscopic motion. Nature Machine Intelligence. 5(1). 71–82. 36 indexed citations
5.
Midtvedt, Benjamin, Jesús Pineda, Erik Olsén, et al.. (2022). Single-shot self-supervised object detection in microscopy. Nature Communications. 13(1). 7492–7492. 30 indexed citations
6.
Midtvedt, Benjamin, et al.. (2022). Microplankton life histories revealed by holographic microscopy and deep learning. eLife. 11. 6 indexed citations
7.
Midtvedt, Benjamin, Erik Olsén, Elin K. Esbjörner, et al.. (2022). Single-shot self-supervised particle tracking (Conference Presentation). 33–33. 1 indexed citations
8.
Helgadóttir, Saga, Benjamin Midtvedt, Jesús Pineda, et al.. (2021). Extracting quantitative biological information from bright-field cell images using deep learning. PubMed. 2(3). 31401–31401. 23 indexed citations
9.
Midtvedt, Benjamin, Saga Helgadóttir, Aykut Argun, et al.. (2021). Quantitative digital microscopy with deep learning. Applied Physics Reviews. 8(1). 82 indexed citations
10.
Pineda, Jesús, et al.. (2021). Active droploids. Nature Communications. 12(1). 6005–6005. 19 indexed citations
11.
Midtvedt, Benjamin, Erik Olsén, Fredrik Höök, et al.. (2021). Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis Holography. ACS Nano. 15(2). 2240–2250. 33 indexed citations
12.
Midtvedt, Daniel, et al.. (2019). Size and Refractive Index Determination of Subwavelength Particles and Air Bubbles by Holographic Nanoparticle Tracking Analysis. Analytical Chemistry. 92(2). 1908–1915. 36 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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