Maik Stappers

1.5k total citations · 1 hit paper
5 papers, 1.0k citations indexed

About

Maik Stappers is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Maik Stappers has authored 5 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Artificial Intelligence. Recurrent topics in Maik Stappers's work include Photonic and Optical Devices (3 papers), Optical Network Technologies (2 papers) and Advanced Fiber Optic Sensors (2 papers). Maik Stappers is often cited by papers focused on Photonic and Optical Devices (3 papers), Optical Network Technologies (2 papers) and Advanced Fiber Optic Sensors (2 papers). Maik Stappers collaborates with scholars based in Germany, Switzerland and United Kingdom. Maik Stappers's co-authors include Wolfram H. P. Pernice, Anton Lukashchuk, Nathan Youngblood, Johannes Feldmann, Junqiu Liu, Maxim Karpov, Abu Sebastian, Tobias J. Kippenberg, Helge Gehring and Harish Bhaskaran and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Maik Stappers

5 papers receiving 958 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Parallel convolutional processing using an integrated photonic tensor core

2021 971 citations Anton Lukashchuk, Manuel Le Gallo et al. Oxford University Research Archive (ORA) (University of Oxford) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maik Stappers Germany	4	933	730	213	127	44	5	1.0k
Ying Zuo China	10	412 0.4×	318 0.4×	175 0.8×	49 0.4×	71 1.6×	27	651
William A. Borders Japan	8	548 0.6×	357 0.5×	293 1.4×	69 0.5×	38 0.9×	19	794
Darius Bunandar United States	13	1.1k 1.2×	882 1.2×	369 1.7×	346 2.7×	133 3.0×	30	1.5k
Yue Tian United States	16	739 0.8×	330 0.5×	180 0.8×	31 0.2×	27 0.6×	47	813
Damir Vodenicarevic France	7	379 0.4×	212 0.3×	230 1.1×	33 0.3×	37 0.8×	10	513
Farshid Ashtiani United States	6	470 0.5×	362 0.5×	114 0.5×	14 0.1×	36 0.8×	23	566
Joseph S. Friedman United States	17	591 0.6×	227 0.3×	275 1.3×	78 0.6×	40 0.9×	68	723
Martin Fiers Belgium	11	1.1k 1.2×	877 1.2×	260 1.2×	16 0.1×	48 1.1×	32	1.2k
Sajjad Moazeni United States	9	977 1.0×	267 0.4×	385 1.8×	120 0.9×	172 3.9×	37	1.1k
Massimo Borghi Italy	17	868 0.9×	298 0.4×	355 1.7×	370 2.9×	81 1.8×	55	992

Countries citing papers authored by Maik Stappers

Since Specialization

Citations

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

Fields of papers citing papers by Maik Stappers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maik Stappers

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

All Works

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5 of 5 papers shown

1.

Stappers, Maik, et al.. (2024). Scalable and efficient grating couplers on low-index photonic platforms enabled by cryogenic deep silicon etching. Scientific Reports. 14(1). 4256–4256. 14 indexed citations

2.

Stappers, Maik, et al.. (2023). Stealthy Hyperuniform Surface Structures for Efficiency Enhancement of Organic Solar Cells. SHILAP Revista de lepidopterología. 5(2). 6 indexed citations

3.

Stappers, Maik, et al.. (2022). Highly efficient silicon nitride grating couplers with metal back-reflector enabled by cryogenic deep silicon etching. 4–4. 2 indexed citations

4.

Feldmann, Johannes, Nathan Youngblood, Maxim Karpov, et al.. (2021). Publisher Correction: Parallel convolutional processing using an integrated photonic tensor core. Nature. 591(7849). E13–E13. 19 indexed citations

5.

Lukashchuk, Anton, Manuel Le Gallo, Abu Sebastian, et al.. (2021). Parallel convolutional processing using an integrated photonic tensor core. Oxford University Research Archive (ORA) (University of Oxford). 971 indexed citations breakdown →

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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