Daniel Stoecklein

528 total citations
12 papers, 404 citations indexed

About

Daniel Stoecklein is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Daniel Stoecklein has authored 12 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Daniel Stoecklein's work include Microfluidic and Bio-sensing Technologies (8 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Daniel Stoecklein is often cited by papers focused on Microfluidic and Bio-sensing Technologies (8 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Daniel Stoecklein collaborates with scholars based in United States and Italy. Daniel Stoecklein's co-authors include Dino Di Carlo, Baskar Ganapathysubramanian, Soumik Sarkar, Kin Gwn Lore, Aditya Balu, Xian Yeow Lee, Chueh‐Yu Wu, Chiara Galletti, Elisabetta Brunazzi and Keegan Owsley and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Daniel Stoecklein

12 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Stoecklein United States	10	293	101	55	36	24	12	404
Dingwen Wang China	11	38 0.1×	95 0.9×	21 0.4×	41 1.1×	10 0.4×	42	336
Cristian Zet Romania	9	49 0.2×	83 0.8×	19 0.3×	25 0.7×	13 0.5×	42	281
Han Pan China	12	88 0.3×	241 2.4×	25 0.5×	26 0.7×	18 0.8×	62	513
Mingjie Wang China	10	60 0.2×	116 1.1×	117 2.1×	25 0.7×	5 0.2×	41	348
Adroaldo Raizer Brazil	12	46 0.2×	226 2.2×	69 1.3×	34 0.9×	7 0.3×	52	342
Xu Zheng China	9	85 0.3×	146 1.4×	7 0.1×	17 0.5×	8 0.3×	28	363
Kourosh Latifi Finland	8	141 0.5×	77 0.8×	8 0.1×	157 4.4×	11 0.5×	13	439
Marko Jesenik Slovenia	14	100 0.3×	279 2.8×	11 0.2×	132 3.7×	6 0.3×	47	493

Countries citing papers authored by Daniel Stoecklein

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Stoecklein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Stoecklein

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

All Works

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12 of 12 papers shown

Galletti, Chiara, et al.. (2023). Pre-arranged sequences of micropillars for passive mixing control of water and ethanol. Chemical Engineering Journal. 461. 141851–141851. 7 indexed citations

Stoecklein, Daniel, et al.. (2021). Optimized design of obstacle sequences for microfluidic mixing in an inertial regime. Lab on a Chip. 21(20). 3910–3923. 36 indexed citations

Chizari, Samira, et al.. (2020). Scanning two-photon continuous flow lithography for the fabrication of multi-functional microparticles. Optics Express. 28(26). 40088–40088. 7 indexed citations

Stoecklein, Daniel, et al.. (2019). FlowSculpt: software for efficient design of inertial flow sculpting devices. Lab on a Chip. 19(19). 3277–3291. 10 indexed citations

Lee, Xian Yeow, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, & Soumik Sarkar. (2019). A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting. Journal of Mechanical Design. 141(11). 54 indexed citations

Stoecklein, Daniel, Keegan Owsley, Chueh‐Yu Wu, Dino Di Carlo, & Baskar Ganapathysubramanian. (2018). uFlow: software for rational engineering of secondary flows in inertial microfluidic devices. Microfluidics and Nanofluidics. 22(7). 9 indexed citations

Stoecklein, Daniel & Dino Di Carlo. (2018). Nonlinear Microfluidics. Analytical Chemistry. 91(1). 296–314. 140 indexed citations

Stoecklein, Daniel, et al.. (2017). Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data. Scientific Reports. 7(1). 46368–46368. 61 indexed citations

Lore, Kin Gwn, et al.. (2017). A deep learning framework for causal shape transformation. Neural Networks. 98. 305–317. 18 indexed citations

10.

Stoecklein, Daniel, et al.. (2016). Automated Design for Microfluid Flow Sculpting: Multiresolution Approaches, Efficient Encoding, and CUDA Implementation. Journal of Fluids Engineering. 139(3). 13 indexed citations

11.

Lore, Kin Gwn, et al.. (2015). Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. Iowa State University Digital Repository (Iowa State University). 44. 213–225. 12 indexed citations

12.

Stoecklein, Daniel, Chueh‐Yu Wu, Keegan Owsley, et al.. (2014). Micropillar sequence designs for fundamental inertial flow transformations. Lab on a Chip. 14(21). 4197–4204. 37 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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