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

Arko Barman

Rice University

ORCID: 0000-0002-5357-5786
Computer ScienceMedicineNeuroscienceBiochemistry, Genetics and Molecular Biology

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 2%percentile
2.9Author 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.

PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines

Medical Physics(2020)10.1002/mp.14424
Top 9%
2.3DataRank
Top 9%44 citations

Sara Ahmed, Sonja Stieb, Abdallah Mohamed, Hesham Elhalawani, Peter Y. S. Park +8 more

Papers

Driven by 5 papers — median percentile 80. Top paper: “PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines”.

PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines

Medical Physics(2020)10.1002/mp.14424
Top 9%
2.3DataRank
Top 9%44 citations

Sara Ahmed, Sonja Stieb, Abdallah Mohamed, Hesham Elhalawani, Peter Y. S. Park +8 more

PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines

Medical Physics(2020)10.1002/mp.14807
Top 30%
0.653DataRank
Top 30%10 citations

Sara Ahmed, Sonja Stieb, Abdallah Mohamed, Hesham Elhalawani, Peter Y. S. Park +8 more

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

medRxiv(2020)10.1101/2020.05.14.20102103
N/A
0DataRank · unranked
8 citations

Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo, Kendall Kiser

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

Journal of Digital Imaging(2021)10.1007/s10278-021-00460-3
N/A
0DataRank · unranked
48 citations

Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo, Kendall Kiser

Contact Tracing Apps: Lessons Learned on Privacy, Autonomy, and the Need for Detailed and Thoughtful Implementation

JMIR Medical Informatics(2021)10.2196/27449
N/A
0DataRank · unranked
41 citations

Briana Macedo, Venkata Macha, Arko Barman, Xiaoqian Jiang, Katie Hogan