Justin Doods

462 total citations
18 papers, 313 citations indexed

About

Justin Doods is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Justin Doods has authored 18 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 8 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Justin Doods's work include Electronic Health Records Systems (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Data Quality and Management (4 papers). Justin Doods is often cited by papers focused on Electronic Health Records Systems (9 papers), Biomedical Text Mining and Ontologies (8 papers) and Data Quality and Management (4 papers). Justin Doods collaborates with scholars based in Germany, Switzerland and France. Justin Doods's co-authors include Martin Dugas, Philipp Bruland, Fleur Fritz, Philipp Neuhaus, Michael Storck, Stephanie Schipmann, Eric Suero Molina, Walter Stummer, Christian Ewelt and Florence Botteri and has published in prestigious journals such as PLoS ONE, BMC Medical Research Methodology and International Journal of Medical Informatics.

In The Last Decade

Justin Doods

18 papers receiving 308 citations

Peers

Countries citing papers authored by Justin Doods

Since Specialization

Citations

This map shows the geographic impact of Justin Doods'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 Justin Doods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Doods more than expected).

Fields of papers citing papers by Justin Doods

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Doods. 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 Justin Doods. The network helps show where Justin Doods may publish in the future.

Co-authorship network of co-authors of Justin Doods

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Doods. A scholar is included among the top collaborators of Justin Doods 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 Justin Doods. Justin Doods is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	The 30-day readmission rate in neurosurgery—a useful indicator for quality assessment? 2020 ·Acta Neurochirurgica ·Stephanie Schipmann, Eric Suero Molina, (unknown), Justin Doods, Michael Schwake, (unknown), (unknown), Nils Warneke, Walter Stummer	13
2	The rise of quality indicators in neurosurgery: 30-day unplanned reoperation rate evaluated in 3760 patients—a single-center experience 2019 ·Acta Neurochirurgica ·Eric Suero Molina, (unknown), Justin Doods, (unknown), (unknown), Walter Stummer, Stephanie Schipmann	12
3	ODM Data Analysis—A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data 2018 ·PLoS ONE ·Tobias Brix, Philipp Bruland, (unknown), Jan Ernsting, Philipp Neuhaus, Michael Storck, Justin Doods, Sonja Ständer, Martin Dugas	6
4	Connecting healthcare and clinical research: Workflow optimizations through seamless integration of EHR, pseudonymization services and EDC systems 2018 ·International Journal of Medical Informatics ·Philipp Bruland, Justin Doods, Tobias Brix, Martin Dugas, Michael Storck	22
5	The Portal of Medical Data Models: Where Have We Been and Where Are We Going? 2017 ·Studies in health technology and informatics ·(unknown), Philipp Neuhaus, Julian Varghese, Philipp Bruland, (unknown), Iñaki Soto‐Rey, Michael Storck, Justin Doods, Martin Dugas	5
6	Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned 2017 ·BMC Medical Research Methodology ·(unknown), Justin Doods, Éric Zapletal, Gilles Châtellier, Christel Daniel, Anita Burgun, Martin Dugas, Bastien Rance	10
7	What Information Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed Clinical Research Networks 2017 ·Studies in health technology and informatics ·Philipp Bruland, Justin Doods, Michael Storck, Martin Dugas	3
8	Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting 2016 ·BMC Medical Research Methodology ·Philipp Bruland, Mark McGilchrist, Éric Zapletal, Dionisio Acosta, (unknown), Scott Askin, Thomas Ganslandt, Justin Doods, Martin Dugas	36
9	Portal of medical data models: information infrastructure for medical research and healthcare 2016 ·Database ·Martin Dugas, Philipp Neuhaus, (unknown), Justin Doods, Michael Storck, Philipp Bruland, Julian Varghese	55
10	When the Infection Hits the Wound: Matched Case-Control Study in a Neurosurgical Patient Collective Including Systematic Literature Review and Risk Factors Analysis 2016 ·World Neurosurgery ·Stephanie Schipmann, (unknown), Justin Doods, Christian Ewelt, Walter Stummer, Eric Suero Molina	61
11	Converting ODM Metadata to FHIR Questionnaire Resources 2016 ·Studies in health technology and informatics ·Justin Doods, Philipp Neuhaus, Martin Dugas	15
12	Standardized mappings--a framework to combine different semantic mappers into a standardized web-API. 2015 ·PubMed ·Philipp Neuhaus, Justin Doods, Martin Dugas	1
13	Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system 2015 ·BMC Medical Research Methodology ·Iñaki Soto‐Rey, (unknown), (unknown), Éric Zapletal, Nadir Ammour, Justin Doods, Martin Dugas, Fleur Fritz	5
14	A European inventory of data elements for patient recruitment 2015 ·Studies in health technology and informatics ·Justin Doods, (unknown), (unknown), (unknown), Florence Botteri, (unknown), (unknown), Martin Dugas, Fleur Fritz	9
15	Piloting the EHR4CR Feasibility Platform across Europe 2014 ·Methods of Information in Medicine ·(unknown), Mark McGilchrist, Christel Daniel, Martin Dugas, Fleur Fritz, Justin Doods	23
16	A European inventory of common electronic health record data elements for clinical trial feasibility 2014 ·Trials ·Justin Doods, Florence Botteri, Martin Dugas, Fleur Fritz	33
17	Analysis of eligibility criteria from ClinicalTrials.gov 2014 ·Studies in health technology and informatics ·Justin Doods, Martin Dugas, Fleur Fritz	1
18	Development of Best Practice Principles for Simplifying Eligibility Criteria 2013 ·Studies in health technology and informatics ·Justin Doods, (unknown), Martin Dugas, Fleur Fritz	3

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.

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