Daniel M. Goldenholz

Also affiliated with Harvard University, Hadassah Medical Center, Beth Israel Deaconess Hospital, Bethel University

MedicineNeuroscience

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 5%percentile

0.349Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Harvard Electroencephalography Database: A comprehensive clinical electroencephalographic resource from four Boston hospitals

Epilepsia(2025)10.1111/epi.18487

Top 50%

0.349DataRank

Top 50%8 citations

Jin Jing, Niels Turley, Callison Alcott, Wan‐Yee Kang, Andrew J. Cole +30 more

Papers

Driven by 31 papers — median percentile 50. Top paper: “Electroencephalographic Abnormalities are Common in COVID ‐19 and are Associated with Outcomes”.

Electroencephalographic Abnormalities are Common in COVID ‐19 and are Associated with Outcomes

Annals of Neurology(2021)10.1002/ana.26060

N/A

0.601DataRank · unranked

54 citations

Abrar Al‐Faraj, Neishay Ayub, Pablo Bravo, Sudeshna Das, Lorenzo Ferlini +20 more

Harvard Electroencephalography Database: A comprehensive clinical electroencephalographic resource from four Boston hospitals

Epilepsia(2025)10.1111/epi.18487

Top 50%

0.349DataRank

Top 50%8 citations

Jin Jing, Niels Turley, Callison Alcott, Wan‐Yee Kang, Andrew J. Cole +30 more

Sample Size Analysis for Machine Learning Clinical Validation Studies

medRxiv(2021)10.1101/2021.10.26.21265541

N/A

0.312DataRank · unranked

7 citations

Haoqi Sun, Wolfgang Ganglberger, M. Brandon Westover, Daniel M. Goldenholz

Inductive reasoning with large language models: A simulated randomized controlled trial for epilepsy

Epilepsy Research(2025)10.1016/j.eplepsyres.2025.107532

N/A

0.208DataRank · unranked

3 citations

Shira R. Goldenholz, Sara Habib, M. Brandon Westover, Daniel M. Goldenholz

Patterns of Recording Epileptic Spasms in an Electronic Seizure Diary Compared With Video-EEG and Historical Cohorts

Pediatric Neurology(2021)10.1016/j.pediatrneurol.2021.04.008

N/A

0DataRank · unranked

6 citations

Daniel M. Goldenholz, Marvin H. Braun, Robert Moss, Zachary Grinspan, Brian LaGrant

Focal Cooling for Drug-Resistant Epilepsy

JAMA Neurology(2022)10.1001/jamaneurol.2022.1936

N/A

0DataRank · unranked

10 citations

Michelle Bass, Shira R. Goldenholz, Daniel M. Goldenholz, Itamar Niesvizky-Kogan

Exercise, medication adherence, and the menstrual cycle: How much do these change seizure risk?

Epilepsy Research(2022)10.1016/j.eplepsyres.2022.107052

N/A

0DataRank · unranked

4 citations

Shira R. Goldenholz, Daniel M. Goldenholz, Celena Eccleston

Sample Size Analysis for Machine Learning Clinical Validation Studies

Biomedicines(2023)10.3390/biomedicines11030685

N/A

0DataRank · unranked

65 citations

Haoqi Sun, Wolfgang Ganglberger, M. Brandon Westover, Daniel M. Goldenholz

Does deidentification of data from wearable devices give us a false sense of security? A systematic review

The Lancet Digital Health(2023)10.1016/s2589-7500(22)00234-5

N/A

0DataRank · unranked

57 citations

Miao Yu, Melat K. Woldetensae, Diarra Bell, Daniel M. Goldenholz, Jessilyn Dunn +1 more

Gaps in care following first time seizure in an underserved region: A retrospective analysis

Seizure(2023)10.1016/j.seizure.2023.04.014

N/A

0DataRank · unranked

3 citations

Andrew Cabrera, Daniel M. Goldenholz, Travis Losey, Nancy A. Baker, Molly Estes +2 more

Corrigendum to Patterns of Recording Epileptic Spasms in an Electronic Seizure Diary Compared to Video EEG and Historical Cohorts’ Pediatric Neurology 122C (2021) (27-34)

Pediatric Neurology(2023)10.1016/j.pediatrneurol.2023.03.008

N/A

0DataRank · unranked

0 citations

Daniel M. Goldenholz, Marvin H. Braun, Robert Moss, Zachary Grinspan, Brian LaGrant

Improving Clinician Performance in Classifying EEG Patterns on the Ictal–Interictal Injury Continuum Using Interpretable Machine Learning

NEJM AI(2024)10.1056/aioa2300331

N/A

0DataRank · unranked

29 citations

Zhicheng Guo, Jin Jing, Wendong Ge, Peter W. Kaplan, Wan Yee Kong +10 more

How accurate do self‐reported seizures need to be for effective medication management in epilepsy?

Epilepsia(2024)10.1111/epi.18019

N/A

0DataRank · unranked

11 citations

Benjamin H. Brinkmann, M. Brandon Westover, Daniel M. Goldenholz

Statistical characteristics of large‐scale objective tonic–clonic seizure records from medical smartwatches used in daily life

Epilepsia(2024)10.1111/epi.18109

N/A

0DataRank · unranked

8 citations

Weixuan Chen, Giulia Regalia, Daniel M. Goldenholz, Rosalind W. Picard, Boyu Zhang

Necessary for seizure forecasting outcome metrics: Seizure frequency and benchmark model

Epilepsy Research(2024)10.1016/j.eplepsyres.2024.107474

N/A

0DataRank · unranked

8 citations

Boyu Zhang, Robert A. Moss, Rosalind W. Picard, M. Brandon Westover, Daniel M. Goldenholz +1 more

Minimum clinical utility standards for wearable seizure detectors: A simulation study

Epilepsia(2024)10.1111/epi.17917

N/A

0DataRank · unranked

8 citations

Philippa J. Karoly, Pedro F. Viana, Ewan S. Nurse, Tobias Loddenkemper, Andreas Schulze‐Bonhage +7 more

Prospective validation of a seizure diary forecasting falls short

medRxiv(2024)10.1101/2024.01.11.24301175

N/A

0DataRank · unranked

3 citations

Celena Eccleston, Robert Moss, M. Brandon Westover, Daniel M. Goldenholz

Inductive reasoning with large language models: a simulated randomized controlled trial for epilepsy

medRxiv(2024)10.1101/2024.03.18.24304493

N/A

0DataRank · unranked

1 citations

Shira R. Goldenholz, Sara Habib, M. Brandon Westover, Daniel M. Goldenholz

Necessary for seizure forecasting outcome metrics: seizure frequency and benchmark model

medRxiv(2024)10.1101/2024.05.15.24307446

N/A

0DataRank · unranked

1 citations

Boyu Zhang, Robert A. Moss, Rosalind W. Picard, M. Brandon Westover, Daniel M. Goldenholz +1 more

Seizure prediction and forecasting: a scoping review

Current Opinion in Neurology(2025)10.1097/wco.0000000000001344

N/A

0DataRank · unranked

9 citations

Daniel M. Goldenholz, Joshua C. Cheng

L‐Relationship between uncertainty and average seizure frequency in clinical trials of antiseizure medications

Epilepsia(2025)10.1002/epi.70080

N/A

0DataRank · unranked

2 citations

Neo Kok, Katherine N. McFarlane, Advith S. Reddy, Lavanya Biju, Jacqueline A. French +2 more

Rigorous evaluation of five models for e‐diary‐only seizure forecasting: Retrospective and prospective datasets do not outperform the Napkin method

Epilepsia(2025)10.1111/epi.18677

N/A

0DataRank · unranked

4 citations

Robert Moss, M. Brandon Westover, Daniel M. Goldenholz, Chi-Yuan Chang

Automated detection of interictal epileptiform discharges with few electroencephalographic channels

Epilepsia(2025)10.1111/epi.18431

N/A

0DataRank · unranked

1 citations

Chaoqi Yang, Wolfgang Ganglberger, Jules C. Beal, Manu Hegde, Joon‐Yi Kang +22 more

Does missing medication acutely change seizure risk? A prospective study

medRxiv(2025)10.1101/2025.06.06.25329144

N/A

0DataRank · unranked

0 citations

Joshua C. Cheng, Chi‐Yuan Chang, Robert Moss, M. Brandon Westover, Daniel M. Goldenholz

The Road Not Taken: Misclassifying an Anti‐Seizure Medication as a Failure

Annals of Clinical and Translational Neurology(2025)10.1002/acn3.70139

N/A

0DataRank · unranked

0 citations

Daniel M. Goldenholz, Christopher Henry

Is it possible to vaccinate AI against bias? An exploratory study in epilepsy

medRxiv(2025)10.64898/2025.12.18.25342563

N/A

0DataRank · unranked

0 citations

M. Brandon Westover, Daniel M. Goldenholz, Rohan Bhansali

Recognizing and refuting the myth of tongue swallowing during a seizure

Seizure(2020)10.1016/j.seizure.2020.09.023

N/A

0DataRank · unranked

13 citations

Alexander J. Baumgartner, Shira R. Goldenholz, Daniel M. Goldenholz, Kyle C. Rossi

Deployable seizure forecasting requires clinically meaningful performance: Response to Stirling et al.

Epilepsia(2025)10.1002/epi.70083

N/A

0DataRank · unranked

0 citations

Robert Moss, M. Brandon Westover, Daniel M. Goldenholz, Chi‐Yuan Chang

Individualizing the definition of seizure clusters based on temporal clustering analysis

Epilepsy Research(2020)10.1016/j.eplepsyres.2020.106330

N/A

0DataRank · unranked

34 citations

Sheryl R. Haut, Victor Ferastraoaru, Vikram R. Rao, Maxime O. Baud, William H. Theodore +3 more

Natural variability in seizure frequency: Implications for trials and placebo

Epilepsy Research(2020)10.1016/j.eplepsyres.2020.106306

N/A

0DataRank · unranked

28 citations

Phillip Larimer, Bernard Chang, Shira R. Goldenholz, Daniel M. Goldenholz, Juan Romero

Natural history of generalized motor seizures: A retrospective analysis

Seizure(2020)10.1016/j.seizure.2020.05.019

N/A

0DataRank · unranked

4 citations

Sharon Chiang, Robert Moss, Daniel M. Goldenholz, Neishay Ayub

Daniel M. Goldenholz

Indexed papers

Top data-sharing exemplar

Papers