Daniel Eckrich

726 total citations
9 papers, 231 citations indexed

About

Daniel Eckrich is a scholar working on Infectious Diseases, Neurology and Health Information Management. According to data from OpenAlex, Daniel Eckrich has authored 9 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Neurology and 2 papers in Health Information Management. Recurrent topics in Daniel Eckrich's work include Obesity, Physical Activity, Diet (2 papers), Electronic Health Records Systems (2 papers) and Data Quality and Management (2 papers). Daniel Eckrich is often cited by papers focused on Obesity, Physical Activity, Diet (2 papers), Electronic Health Records Systems (2 papers) and Data Quality and Management (2 papers). Daniel Eckrich collaborates with scholars based in United States. Daniel Eckrich's co-authors include Hanieh Razzaghi, Evanette Burrows, L. Charles Bailey, Daksha Ranade, Janet Zahner, Nathan M. Pajor, Dimitri Christakis, Christopher B. Forrest, Simon Lin and Suchitra Rao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Medical Informatics Association.

In The Last Decade

Daniel Eckrich

9 papers receiving 230 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Eckrich United States	5	90	41	39	37	36	9	231
Kathryn Twyman United States	6	78 0.9×	75 1.8×	11 0.3×	11 0.3×	15 0.4×	10	244
Melvin Joy India	7	69 0.8×	22 0.5×	7 0.2×	20 0.5×	7 0.2×	35	211
Michael Benigno United States	8	107 1.2×	31 0.8×	5 0.1×	57 1.5×	12 0.3×	20	295
Ravi Bhaskar India	8	62 0.7×	43 1.0×	40 1.0×	10 0.3×	11 0.3×	24	315
Gillian Divard France	12	66 0.7×	50 1.2×	24 0.6×	17 0.5×	5 0.1×	26	366
Syed Jawad Haider Kazmi Pakistan	8	141 1.6×	38 0.9×	24 0.6×	50 1.4×	2 0.1×	13	220
Sara Perlman‐Arrow Canada	4	218 2.4×	39 1.0×	24 0.6×	32 0.9×	2 0.1×	5	341
Amirata Fakhfouri Iran	7	152 1.7×	38 0.9×	14 0.4×	29 0.8×	5 0.1×	10	289
Sudhir Bhandari India	10	172 1.9×	31 0.8×	6 0.2×	62 1.7×	12 0.3×	46	355
Ling Ma China	3	101 1.1×	26 0.6×	167 4.3×	76 2.1×	11 0.3×	5	310

Countries citing papers authored by Daniel Eckrich

Since Specialization

Citations

This map shows the geographic impact of Daniel Eckrich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Eckrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eckrich more than expected).

Fields of papers citing papers by Daniel Eckrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Eckrich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Eckrich. The network helps show where Daniel Eckrich may publish in the future.

Co-authorship network of co-authors of Daniel Eckrich

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Eckrich. A scholar is included among the top collaborators of Daniel Eckrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Eckrich. Daniel Eckrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Eckrich, Daniel, et al.. (2024). Reliable prediction of childhood obesity using only routinely collected EHRs may be possible. SHILAP Revista de lepidopterología. 12. 100128–100128. 1 indexed citations

Rahman, Asif, Michael W. Russell, Wanhong Zheng, Daniel Eckrich, & Imtiaz Ahmed. (2024). SARS-CoV-2 infection is associated with an increase in new diagnoses of schizophrenia spectrum and psychotic disorder: A study using the US national COVID cohort collaborative (N3C). PLoS ONE. 19(5). e0295891–e0295891. 3 indexed citations

Phan, Thao-Ly T., et al.. (2024). Associations of Longitudinal BMI-Percentile Classification Patterns in Early Childhood with Neighborhood-Level Social Determinants of Health. Childhood Obesity. 21(1). 65–75. 3 indexed citations

Lorman, Vitaly, Hanieh Razzaghi, Xing Song, et al.. (2023). A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. PLoS ONE. 18(8). e0289774–e0289774. 4 indexed citations

Razzaghi, Hanieh, L. Charles Bailey, Sarah Corathers, et al.. (2022). Testing an Automated Approach to Identify Variation in Outcomes among Children with Type 1 Diabetes across Multiple Sites. Pediatric Quality and Safety. 7(5). e602–e602. 2 indexed citations

Bailey, L. Charles, Hanieh Razzaghi, Evanette Burrows, et al.. (2020). Assessment of 135 794 Pediatric Patients Tested for Severe Acute Respiratory Syndrome Coronavirus 2 Across the United States. JAMA Pediatrics. 175(2). 176–176. 137 indexed citations

Miller, R Eric, et al.. (2020). Implementation of a learning healthcare system for sickle cell disease. JAMIA Open. 3(3). 349–359. 12 indexed citations

Khare, Ritu, Levon Utidjian, Hanieh Razzaghi, et al.. (2019). Design and Refinement of a Data Quality Assessment Workflow for a Large Pediatric Research Network. SHILAP Revista de lepidopterología. 7(1). 36–36. 14 indexed citations

Khare, Ritu, Levon Utidjian, Michael G. Kahn, et al.. (2017). A longitudinal analysis of data quality in a large pediatric data research network. Journal of the American Medical Informatics Association. 24(6). 1072–1079. 55 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact