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

Dmitry B. Goldgof

University of South Florida

ORCID: 0000-0001-5461-863X
MedicineComputer ScienceEngineering

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
3.8Author DataRank

Indexed papers

3in 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 3 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.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Papers

Driven by 16 papers — median percentile 81. Top paper: “Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets”.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Multimodal neonatal procedural and postoperative pain assessment dataset

Data in Brief(2021)10.1016/j.dib.2021.106796
Top 19%
1.1DataRank
Top 19%33 citations

Ghada Zamzmi, Jacqueline Hausmann, Dmitry B. Goldgof, Rangachar Kasturi, Marcia Kneusel +4 more

DeepHeme, a high-performance, generalizable deep ensemble for bone marrow morphometry and hematologic diagnosis

Science Translational Medicine(2025)10.1126/scitranslmed.adq2162
N/A
0.347DataRank · unranked
7 citations

Zhanghan Yin, Jacob G. Van Cleave, Linlin Wang, Brenda Fried, Khawaja H. Bilal +28 more

DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.20.528987
Top 53%
0.325DataRank
Top 53%5 citations

Shenghuan Sun, Jacob G. Van Cleave, Linlin Wang, Fabienne Lucas, Laura Brown +12 more

Deep Learning for Morphology-Based, Bone Marrow Cell Classification

Blood(2023)10.1182/blood-2023-172654
N/A
0.118DataRank · unranked
1 citations

Linlin Wang, Fabienne Lucas, Laura Brown, Leonardo Boiocchi, Jeeyeon Baik +12 more

Multisite Technical and Clinical Performance Evaluation of Quantitative Imaging Biomarkers from 3D FDG PET Segmentations of Head and Neck Cancer Images

Tomography(2020)10.18383/j.tom.2020.00004
N/A
0DataRank · unranked
7 citations

John M. Buatti, Christian Bauer, Ethan Ulrich, Payam Ahmadvand, Mikalai M. Budzevich +15 more

Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data

Journal of Medical Imaging(2020)10.1117/1.jmi.7.2.024502
N/A
0DataRank · unranked
6 citations

Matthew B. Schabath, Robert J. Gillies, Lawrence Hall, Dmitry B. Goldgof, Rahul Paul

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification

IEEE Access(2021)10.1109/access.2021.3079716
N/A
0DataRank · unranked
40 citations

Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence Hall, Kaoutar Ben Ahmed

Pattern Recognition in Vital Signs Using Spectrograms

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(2021)10.1109/smc52423.2021.9658924
N/A
0DataRank · unranked
5 citations

Md Sirajus Salekin, Dmitry B. Goldgof, Ghada Zamzmi, Mark Last, Yu Sun +1 more

Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation

Lecture notes in computer science(2022)10.1007/978-3-031-16437-8_72
N/A
0DataRank · unranked
14 citations

Ghada Zamzmi, Dmitry B. Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade +4 more

Enhancing Neonatal Pain Assessment Transparency via Explanatory Training Examples Identification

PubMed(2023)10.1109/cbms58004.2023.00236
N/A
0DataRank · unranked
6 citations

Ghada Zamzmi, Peter R. Mouton, Yu Sun, Dmitry B. Goldgof, Md. Imran Hossain

Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting

IEEE Access(2024)10.1109/access.2024.3383789
N/A
0DataRank · unranked
19 citations

Md Sirajus Salekin, Ghada Zamzmi, Peter R. Mouton, Stephanie Prescott, Thao Ho +3 more

Synergizing Deep Learning-Enabled Preprocessing and Human–AI Integration for Efficient Automatic Ground Truth Generation

Bioengineering(2024)10.3390/bioengineering11050434
N/A
0DataRank · unranked
4 citations

Ian Vargas, B. Di Cara, Carla J. Weinheimer, Ryan Grabau, Dmitry B. Goldgof +4 more

A novel deep learning-based method for automatic stereology of microglia cells from low magnification images

Neurotoxicology and Teratology(2024)10.1016/j.ntt.2024.107336
N/A
0DataRank · unranked
5 citations

Palak Dave, Yaroslav Kolinko, Saeed Alahmari, Aidan Anderson, Grant Denham +7 more

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.104150
N/A
0DataRank · unranked
84 citations

Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun +1 more

Utilizing Clinicopathological and Radiomic Features for Risk Stratification of Lung Cancer Recurrence

Academic Radiology(2025)10.1016/j.acra.2025.04.062
N/A
0DataRank · unranked
6 citations

Nikolai Fetisov, Lawrence Hall, Dmitry B. Goldgof, Matthew B. Schabath, Wai Lone Jonathan Ho