Martin M. Stein

1.2k total citations · 2 hit papers
25 papers, 717 citations indexed

About

Martin M. Stein is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Education. According to data from OpenAlex, Martin M. Stein has authored 25 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 5 papers in Education. Recurrent topics in Martin M. Stein's work include Neural Networks and Reservoir Computing (7 papers), Photonic and Optical Devices (6 papers) and Optical Network Technologies (5 papers). Martin M. Stein is often cited by papers focused on Neural Networks and Reservoir Computing (7 papers), Photonic and Optical Devices (6 papers) and Optical Network Technologies (5 papers). Martin M. Stein collaborates with scholars based in United States, Germany and Japan. Martin M. Stein's co-authors include Peter L. McMahon, Tatsuhiro Onodera, Logan G. Wright, Tianyu Wang, Darren T. Schachter, Zoey Hu, N. G. Holmes, Emily M. Smith, Shi-Yuan Ma and Cole Walsh and has published in prestigious journals such as Nature, Nature Photonics and Nature Physics.

In The Last Decade

Martin M. Stein

20 papers receiving 675 citations

Hit Papers

Deep physical neural networks trained with backpropagation 2022 2026 2023 2024 2022 2023 100 200 300 400
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.

  1. Deep physical neural networks trained with backpropagation
    2022 421 citations Logan G. Wright, Tatsuhiro Onodera et al. Nature profile →
  2. Image sensing with multilayer nonlinear optical neural networks
    2023 159 citations Tianyu Wang, Logan G. Wright et al. Nature Photonics profile →

Peers

Martin M. Stein
Weihao Lin China
Ray-I Chang Taiwan
Mihai Rotaru Singapore
Hao Zhu China
Hao Yu China
Darrin M. Hanna United States
David Harris United States
Binay Kumar Pandey India
Weihao Lin China
Martin M. Stein
Citations per year, relative to Martin M. Stein Martin M. Stein (= 1×) peers Weihao Lin

Countries citing papers authored by Martin M. Stein

Since Specialization
Citations

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

Fields of papers citing papers by Martin M. Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin M. Stein. 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 Martin M. Stein. The network helps show where Martin M. Stein may publish in the future.

Co-authorship network of co-authors of Martin M. Stein

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

All Works

20 of 20 papers shown
1.
Onodera, Tatsuhiro, Martin M. Stein, Marc Jankowski, et al.. (2025). Arbitrary control over multimode wave propagation for machine learning. Nature Physics. 22(1). 164–171.
2.
Stein, Martin M., Yujie Zhao, Marc Jankowski, et al.. (2025). Programmable on-chip nonlinear photonics. Nature. 649(8096). 330–337. 3 indexed citations
3.
4.
Wang, Tianyu, Logan G. Wright, Martin M. Stein, et al.. (2023). Image sensing with multilayer nonlinear optical neural networks. Nature Photonics. 17(5). 408–415. 159 indexed citations breakdown →
5.
Xia, Fei, Ziao Wang, Logan G. Wright, et al.. (2023). Hardware-efficient, large-scale reconfigurable optical neural network (ONN) with backpropagation. 8–8. 1 indexed citations
6.
Wang, Tianyu, Shi-Yuan Ma, Logan G. Wright, et al.. (2023). Applications of digital micromirror devices in photonic neural networks. 2–2.
7.
Wright, Logan G., Tatsuhiro Onodera, Martin M. Stein, et al.. (2022). Deep physical neural networks trained with backpropagation. Nature. 601(7894). 549–555. 421 indexed citations breakdown →
8.
Walsh, Cole, et al.. (2021). Exploring the effects of omitted variable bias in physics education research. Physical Review Physics Education Research. 17(1). 12 indexed citations
9.
Stein, Martin M., et al.. (2020). Student interpretations of uncertainty in classical and quantum mechanics experiments. The Physics Video Demonstration Database (Cornell University). 573–578. 2 indexed citations
10.
Smith, Emily M., Martin M. Stein, & N. G. Holmes. (2020). How expectations of confirmation influence students’ experimentation decisions in introductory labs. Physical Review Physics Education Research. 16(1). 18 indexed citations
11.
Kalender, Z. Yasemin, Martin M. Stein, & N. G. Holmes. (2020). Sense of agency, gender, and students� perception in open-ended physics labs. The Physics Video Demonstration Database (Cornell University). 259–265. 3 indexed citations
12.
Smith, Emily M., Martin M. Stein, Cole Walsh, & N. G. Holmes. (2020). Direct Measurement of the Impact of Teaching Experimentation in Physics Labs. Physical Review X. 10(1). 55 indexed citations
13.
Geyer-Schulz, Andreas & Martin M. Stein. (2020). A Comparison of Five Programming Languages in a Graph Clustering Scenario. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
14.
Geyer-Schulz, Andreas, et al.. (2010). Randomized greedy modularity optimization for group detection in huge social networks. 6 indexed citations
15.
Stein, Martin M., et al.. (2003). Building a customer satisfaction system: Effective listening when the customer speaks. 22(3). 23–34. 7 indexed citations
16.
Stein, Martin M. & Frank Voehl. (1997). Macrologistics Management: A Catalyst for Organizational Change. Medical Entomology and Zoology. 4 indexed citations
17.
Stein, Martin M.. (1996). Using adaptive engineering to implement breakthrough strategies. National Productivity Review. 15(4). 15–24.
18.
Stein, Martin M., et al.. (1995). Spatial restructuring of old industrial areas: Polish and former East German experiences. European Planning Studies. 3(3). 397–409. 2 indexed citations
19.
Stein, Martin M., et al.. (1977). A technique for evaluating alternative population forecasts. Socio-Economic Planning Sciences. 11(3). 155–160. 2 indexed citations
20.
Harris, Curtis C., et al.. (1973). LONG-RANGE TRANSPORTATION INVESTMENT PLANNING: A FORECASTING APPROACH FOR ASSESSING THE IMPACT OF ALTERNATIVE HIGHWAY SYSTEMS ON REGIONAL DEVELOPMENT. Highway Research Record. 2 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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