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

Martin Wiedmann

Cornell University

ORCID: 0000-0002-4168-5662

Also affiliated with New York State College of Agriculture & Life Sciences

Biochemistry, Genetics and Molecular BiologyAgricultural and Biological Sciences

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 7%percentile
0.104Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Structural equation models suggest that on-farm non-crop vegetation removal is not associated with improved food safety outcomes but is linked to impaired water quality

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.19.508625
Top 78%
0.104DataRank
Top 78%1 citations

Tanzy Love, Donald E. Weller, Claire M. Murphy, Brian G. Rahm, Martin Wiedmann +1 more

Papers

Driven by 12 papers — median percentile 22. Top paper: “Structural equation models suggest that on-farm non-crop vegetation removal is not associated with improved food safety outcomes but is linked to impaired water quality”.

Structural equation models suggest that on-farm non-crop vegetation removal is not associated with improved food safety outcomes but is linked to impaired water quality

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.19.508625
Top 78%
0.104DataRank
Top 78%1 citations

Tanzy Love, Donald E. Weller, Claire M. Murphy, Brian G. Rahm, Martin Wiedmann +1 more

Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production

Frontiers in Sustainable Food Systems(2020)10.3389/fsufs.2020.561517
N/A
0DataRank · unranked
32 citations

Tanzy Love, Alexandra Belias, Martin Wiedmann, Daniel L. Weller

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water

Frontiers in Artificial Intelligence(2021)10.3389/frai.2021.628441
N/A
0DataRank · unranked
39 citations

Tanzy Love, Martin Wiedmann, Daniel L. Weller

Comparison of Resampling Algorithms to Address Class Imbalance when Developing Machine Learning Models to Predict Foodborne Pathogen Presence in Agricultural Water

Frontiers in Environmental Science(2021)10.3389/fenvs.2021.701288
N/A
0DataRank · unranked
33 citations

Tanzy Love, Martin Wiedmann, Daniel L. Weller

The Majority of Typhoid Toxin-Positive Salmonella Serovars Encode ArtB, an Alternate Binding Subunit

mSphere(2021)10.1128/msphere.01255-20
N/A
0DataRank · unranked
16 citations

Rachel A. Miller, Anna Sophia Harrand, Alexa R. Cohn, Martin Wiedmann, Ahmed Gaballa

Integrative Survey of 68 Non-overlapping Upstate New York Watersheds Reveals Stream Features Associated With Aquatic Fecal Contamination

Frontiers in Microbiology(2021)10.3389/fmicb.2021.684533
N/A
0DataRank · unranked
16 citations

Maxwell L. Wilder, Martin Wiedmann, Daniel L. Weller, Hyatt Green

Cross-Validation Indicates Predictive Models May Provide an Alternative to Indicator Organism Monitoring for Evaluating Pathogen Presence in Southwestern US Agricultural Water

Frontiers in Water(2021)10.3389/frwa.2021.693631
N/A
0DataRank · unranked
16 citations

Natalie Brassill, Sherry Roof, Channah Rock, Martin Wiedmann, Daniel L. Weller +1 more

Monitoring the Antimicrobial Resistance Dynamics of Salmonella enterica in Healthy Dairy Cattle Populations at the Individual Farm Level Using Whole-Genome Sequencing

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.20.457169
N/A
0DataRank · unranked
0 citations

Ariel J. Buehler, Ahmed Gaballa, Julie D. Siler, Kevin J. Cummings, Rachel A. Miller +2 more

Phage genome cleavage enables resuscitation from Cas13-induced bacterial dormancy

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.05.498905
N/A
0DataRank · unranked
5 citations

Alexandra E. Reker, Shally R. Margolis, Jingqiu Liao, Martin Wiedmann, Alexander J. Meeske +1 more

Restriction endonuclease cleavage of phage DNA enables resuscitation from Cas13-induced bacterial dormancy

Nature Microbiology(2023)10.1038/s41564-022-01318-2
N/A
0DataRank · unranked
47 citations

Alexandra E. Reker, Shally R. Margolis, Jingqiu Liao, Martin Wiedmann, Enrique R. Rojas +2 more

Small Produce Farm Environments Can Harbor Diverse Listeria monocytogenes and Listeria spp. Populations

Journal of Food Protection(2020)10.4315/jfp-20-179
N/A
0DataRank · unranked
15 citations

Laura K. Strawn, Martin Wiedmann, Alexandra Belias

Pre-harvest food safety and conservation challenges facing US produce growers: results from a national survey

Renewable Agriculture and Food Systems(2023)10.1017/s1742170523000261
N/A
0DataRank · unranked
2 citations

Patrick Baur, Martin Wiedmann, Elissa M. Olimpi, Daniel L. Weller, Aaron Adalja