Jeremy Maitin-Shepard

2.0k total citations
6 papers, 509 citations indexed

About

Jeremy Maitin-Shepard is a scholar working on Artificial Intelligence, Biophysics and Structural Biology. According to data from OpenAlex, Jeremy Maitin-Shepard has authored 6 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Biophysics and 1 paper in Structural Biology. Recurrent topics in Jeremy Maitin-Shepard's work include Coding theory and cryptography (2 papers), Cryptographic Implementations and Security (2 papers) and Cell Image Analysis Techniques (2 papers). Jeremy Maitin-Shepard is often cited by papers focused on Coding theory and cryptography (2 papers), Cryptographic Implementations and Security (2 papers) and Cell Image Analysis Techniques (2 papers). Jeremy Maitin-Shepard collaborates with scholars based in United States, Switzerland and Germany. Jeremy Maitin-Shepard's co-authors include Pieter Abbeel, Marco Cusumano-Towner, Viren Jain, Michał Januszewski, Peter H. Li, Mike Tyka, Larry Lindsey, Tim Blakely, Art Pope and Joergen Kornfeld and has published in prestigious journals such as Nature Methods, The Computer Journal and Microscopy and Microanalysis.

In The Last Decade

Jeremy Maitin-Shepard

5 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeremy Maitin-Shepard United States	5	212	138	106	85	63	6	509
Leandra Vicci United States	14	36 0.2×	159 1.2×	21 0.2×	155 1.8×	13 0.2×	27	945
Vijay Pawar United Kingdom	16	64 0.3×	192 1.4×	31 0.3×	116 1.4×	13 0.2×	46	622
N. Kasthuri India	9	16 0.1×	27 0.2×	70 0.7×	41 0.5×	64 1.0×	46	322
Johannes Frohnhofen Germany	7	10 0.0×	85 0.6×	47 0.4×	60 0.7×	34 0.5×	10	483
Mingsi Tong China	14	136 0.6×	130 0.9×	22 0.2×	72 0.8×		43	497
Anup Parikh United States	14	166 0.8×	81 0.6×	24 0.2×	163 1.9×		30	780
Andreas Hofmann Germany	16	267 1.3×	45 0.3×	25 0.2×	47 0.6×	15 0.2×	56	734
Lu Bai China	16	26 0.1×	64 0.5×	98 0.9×	74 0.9×	2 0.0×	51	977
S. Waydo United States	12	107 0.5×	175 1.3×	27 0.3×	42 0.5×		16	524
Shiv Vitaladevuni United States	17	8 0.0×	344 2.5×	100 0.9×	37 0.4×	51 0.8×	29	1.0k

Countries citing papers authored by Jeremy Maitin-Shepard

Since Specialization

Citations

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

Fields of papers citing papers by Jeremy Maitin-Shepard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy Maitin-Shepard. 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 Jeremy Maitin-Shepard. The network helps show where Jeremy Maitin-Shepard may publish in the future.

Co-authorship network of co-authors of Jeremy Maitin-Shepard

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

All Works

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6 of 6 papers shown

1.

Dorkenwald, Sven, Peter H. Li, Michał Januszewski, et al.. (2023). Multi-layered maps of neuropil with segmentation-guided contrastive learning. Nature Methods. 20(12). 2011–2020. 8 indexed citations

2.

Li, Peter H., Larry Lindsey, Michał Januszewski, et al.. (2019). Automated Reconstruction of a Serial-Section EM Drosophila Brain with Flood-Filling Networks and Local Realignment. Microscopy and Microanalysis. 25(S2). 1364–1365. 36 indexed citations

3.

Januszewski, Michał, Joergen Kornfeld, Peter H. Li, et al.. (2018). High-precision automated reconstruction of neurons with flood-filling networks. Nature Methods. 15(8). 605–610. 171 indexed citations

4.

Maitin-Shepard, Jeremy. (2016). Optimal software-implemented Itoh–Tsujii inversion for $$\mathbb {F}_{2^{m}}$$ F 2 m. Designs Codes and Cryptography. 82(1-2). 301–318. 1 indexed citations

5.

Maitin-Shepard, Jeremy, Mehdi Tibouchi, & Diego F. Aranha. (2016). Elliptic Curve Multiset Hash. The Computer Journal. 4 indexed citations

6.

Maitin-Shepard, Jeremy, et al.. (2010). Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding. 2308–2315. 289 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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