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

Hava T. Siegelmann

Amherst College

ORCID: 0000-0003-4938-8723

Also affiliated with University of Massachusetts Amherst

Computer ScienceNeuroscienceEngineering

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

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 →

Papers

Driven by 3 papers. Top paper: “Evolution of Abstraction Across Layers in Deep Learning Neural Networks”.

Evolution of Abstraction Across Layers in Deep Learning Neural Networks

Procedia Computer Science(2018)10.1016/j.procs.2018.10.520
N/A
0.477DataRank · unranked
23 citations

Roman Ilin, Hava T. Siegelmann, Robert Kozma

Computational Complexity

Neural Networks and Analog Computation(1999)10.1007/978-1-4612-0707-8_1
N/A
0.208DataRank · unranked
3 citations

Hava T. Siegelmann

miR-9 utilizes precursor pathways in adaptation to alcohol in mouse striatal neurons

Advances in Drug and Alcohol Research(2023)10.3389/adar.2023.11323
N/A
0DataRank · unranked
2 citations

Yongping Wang, Sunali Patel, Austin P. Thekkumthala, Rebecca Kepich, Elizabeth Benn-Hirsch +6 more