🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Matthew Leming

BioScience Laboratories (United States)

ORCID: 0000-0001-9631-2567
NeuroscienceMedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile
0.898Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease

Artificial Intelligence in Medicine(2022)10.1016/j.artmed.2022.102309
Top 25%
0.794DataRank
Top 25%20 citations

Sudeshna Das, Hyungsoon Im, Matthew Leming

Papers

Driven by 8 papers — median percentile 48. Top paper: “Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications”.

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Neurocomputing(2020)10.1016/j.neucom.2020.05.078
N/A
0.865DataRank · unranked
318 citations

Javier Ramı́rez, Andrés Ortíz, Francisco J. Martínez-Murcia, F. Segovia, John Suckling +36 more

Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease

Artificial Intelligence in Medicine(2022)10.1016/j.artmed.2022.102309
Top 25%
0.794DataRank
Top 25%20 citations

Sudeshna Das, Hyungsoon Im, Matthew Leming

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting

npj Digital Medicine(2023)10.1038/s41746-023-00868-x
N/A
0.587DataRank · unranked
49 citations

Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub +2 more

Differential dementia detection from multimodal brain images in a real‐world dataset

Alzheimer s & Dementia(2025)10.1002/alz.70362
Top 78%
0.104DataRank
Top 78%1 citations

Hyungsoon Im, Matthew Leming

Strategies for mitigating data heterogeneities in AI-based neuro-disease detection

Neuron(2025)10.1016/j.neuron.2025.01.028
N/A
0DataRank · unranked
0 citations

Kyungsu Kim, Rose Bruffaerts, Hyungsoon Im, Matthew Leming

Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI

Molecular Autism(2021)10.1186/s13229-021-00439-5
N/A
0DataRank · unranked
28 citations

Simon Baron-Cohen, John Suckling, Matthew Leming

Label-free detection and discrimination of respiratory pathogens based on electrochemical synthesis of biomaterials-mediated plasmonic composites and machine learning analysis

Biosensors and Bioelectronics(2023)10.1016/j.bios.2023.115178
N/A
0DataRank · unranked
28 citations

Matthew Leming, Soo Hyun Lee, Jun-Young Yang, ChaeWon Mun, Kyungseob Noh +7 more

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

PLoS ONE(2023)10.1371/journal.pone.0277572
N/A
0DataRank · unranked
14 citations

Sudeshna Das, Hyungsoon Im, Matthew Leming