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

Tanvir Ahammed

Shahjalal University of Science and Technology

ORCID: 0000-0002-6472-1726

Also affiliated with Clemson University, University of Rajshahi

MathematicsMedicineEngineering

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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “A deep learning approach for enhancing pandemic prediction: A retrospective evaluation of transformer neural networks and multi-source data fusion for infectious disease forecasting”.

A deep learning approach for enhancing pandemic prediction: A retrospective evaluation of transformer neural networks and multi-source data fusion for infectious disease forecasting

Epidemics(2025)10.1016/j.epidem.2025.100865
N/A
0DataRank · unranked
3 citations

Shakhawat Tanim, MinJae Woo, Tanvir Ahammed, Amanda Bleichrodt, Lior Rennert +1 more

Machine learning approaches for real-time ZIP code and county-level estimation of state-wide infectious disease hospitalizations using local health system data

Epidemics(2025)10.1016/j.epidem.2025.100823
N/A
0DataRank · unranked
4 citations

Md Sakhawat Hossain, Christopher S. McMahan, Lior Rennert, Tanvir Ahammed

Machine Learning and Probabilistic Approaches for Forecasting Infectious Disease Transmission and Cases

medRxiv(2025)10.1101/2025.06.24.25330210
N/A
0DataRank · unranked
1 citations

RK Goyal, Natasha K. Martin, Victor DeGruttola, Tanvir Ahammed, Christopher S. McMahan +2 more

Enhancing Pandemic Prediction: A Deep Learning Approach Using Transformer Neural Networks and Multi-Source Data Fusion for Infectious Disease Forecasting

medRxiv(2025)10.1101/2025.06.24.25330211
N/A
0DataRank · unranked
0 citations

Shakhawat Tanim, MinJae Woo, Tanvir Ahammed, Lior Rennert, Jiande Wu