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

Michele Esposito

Medical University of South Carolina

ORCID: 0000-0002-7659-6520
Computer ScienceNeuroscienceMedicine

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 6%percentile
0.251Author 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.

Audio-Language Datasets of Scenes and Events: A Survey

IEEE Access(2025)10.1109/access.2025.3534621
Top 60%
0.251DataRank
Top 60%3 citations

Elia Formisano, Michele Esposito, Michel J. Dumontier, Gijs Wijngaard

Papers

Driven by 7 papers — median percentile 20. Top paper: “Bridging auditory perception and natural language processing with semantically informed deep neural networks”.

Bridging auditory perception and natural language processing with semantically informed deep neural networks

Scientific Reports(2024)10.1038/s41598-024-71693-9
N/A
0.312DataRank · unranked
7 citations

Giancarlo Valente, Yenisel Plasencia-Calaña, Michel J. Dumontier, Bruno L. Giordano, Elia Formisano +1 more

Audio-Language Datasets of Scenes and Events: A Survey

IEEE Access(2025)10.1109/access.2025.3534621
Top 60%
0.251DataRank
Top 60%3 citations

Elia Formisano, Michele Esposito, Michel J. Dumontier, Gijs Wijngaard

Semantically-Informed Deep Neural Networks For Sound Recognition

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(2023)10.1109/icassp49357.2023.10095606
N/A
0.165DataRank · unranked
2 citations

Giancarlo Valente, Yenisel Plasencia-Calaña, Michel J. Dumontier, Bruno L. Giordano, Elia Formisano +1 more

Bridging Auditory Perception and Natural Language Processing with Semantically informed Deep Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.29.591634
N/A
0.104DataRank · unranked
1 citations

Giancarlo Valente, Yenisel Plasencia-Calaña, Michel J. Dumontier, Bruno L. Giordano, Elia Formisano +1 more

Data-Balanced Curriculum Learning for Audio Question Answering

arXiv (Cornell University)(2025)10.48550/arxiv.2507.06815
N/A
0DataRank · unranked
0 citations

Elia Formisano, Michele Esposito, Michel J. Dumontier, Gijs Wijngaard

Audio-Language Datasets of Scenes and Events: A Survey

arXiv (Cornell University)(2024)10.48550/arxiv.2407.06947
Top 100%
0DataRank
Top 100%0 citations

Elia Formisano, Michele Esposito, Michel J. Dumontier, Gijs Wijngaard

AudSemThinker: Enhancing Audio-Language Models through Reasoning over Semantics of Sound

arXiv (Cornell University)(2025)10.48550/arxiv.2505.14142
N/A
0DataRank · unranked
0 citations

Elia Formisano, Michele Esposito, Michel J. Dumontier, Gijs Wijngaard