Chris W. Barton

594 total citations · 1 hit paper
5 papers, 392 citations indexed

About

Chris W. Barton is a scholar working on Epidemiology, Artificial Intelligence and Surgery. According to data from OpenAlex, Chris W. Barton has authored 5 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Chris W. Barton's work include Sepsis Diagnosis and Treatment (3 papers), Machine Learning in Healthcare (2 papers) and Hemodynamic Monitoring and Therapy (1 paper). Chris W. Barton is often cited by papers focused on Sepsis Diagnosis and Treatment (3 papers), Machine Learning in Healthcare (2 papers) and Hemodynamic Monitoring and Therapy (1 paper). Chris W. Barton collaborates with scholars based in United States and United Kingdom. Chris W. Barton's co-authors include Yaniv Kerem, Melissa Jay, Jana Hoffman, Ritankar Das, Jacob Calvert, Uli K. Chettipally, Thomas Desautels, Lisa Shieh, David J. Wales and David Shimabukuro and has published in prestigious journals such as Prehospital Emergency Care, JMIR Medical Informatics and Journal of Pediatric Neurology.

In The Last Decade

Chris W. Barton

4 papers receiving 374 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

2016 339 citations Thomas Desautels, Jacob Calvert et al. JMIR Medical Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris W. Barton United States	3	239	233	55	53	53	5	392
Max Horn Switzerland	9	207 0.9×	211 0.9×	43 0.8×	39 0.7×	60 1.1×	17	507
Jennifer C. Ginestra United States	6	216 0.9×	181 0.8×	49 0.9×	58 1.1×	52 1.0×	16	366
H.M. Giannini United States	4	194 0.8×	164 0.7×	46 0.8×	52 1.0×	44 0.8×	8	340
Fereshteh Razmi United States	2	309 1.3×	275 1.2×	52 0.9×	67 1.3×	88 1.7×	2	516
Charlotte Zwager Netherlands	4	243 1.0×	169 0.7×	31 0.6×	48 0.9×	64 1.2×	7	551
Marianne Johansson Jørgensen Denmark	9	145 0.6×	251 1.1×	59 1.1×	35 0.7×	44 0.8×	15	492
Thomas Desautels United States	9	348 1.5×	388 1.7×	91 1.7×	62 1.2×	82 1.5×	10	633
Simon Meyer Lauritsen Denmark	5	132 0.6×	251 1.1×	59 1.1×	35 0.7×	37 0.7×	7	418
Christopher S. Josef United States	8	237 1.0×	216 0.9×	28 0.5×	31 0.6×	99 1.9×	13	606
Samson Mataraso United States	10	218 0.9×	219 0.9×	83 1.5×	45 0.8×	52 1.0×	22	559

Countries citing papers authored by Chris W. Barton

Since Specialization

Citations

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

Fields of papers citing papers by Chris W. Barton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris W. Barton. 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 Chris W. Barton. The network helps show where Chris W. Barton may publish in the future.

Co-authorship network of co-authors of Chris W. Barton

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

All Works

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5 of 5 papers shown

1.

Barton, Chris W., et al.. (2019). Acetazolamide-Induced Aseptic Meningitis in a Female Adolescent with Idiopathic Intracranial Hypertension: A Case Report. Journal of Pediatric Neurology. 18(4). 198–200.

2.

Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2017). Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting. PubMed. 9. 2718907427–2718907427. 40 indexed citations

3.

Desautels, Thomas, Jacob Calvert, Jana Hoffman, et al.. (2016). Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach. JMIR Medical Informatics. 4(3). e28–e28. 339 indexed citations breakdown →

4.

Sporer, Karl A., et al.. (2006). Do Medications Affect Vital Signs in the Prehospital Treatment of Acute Decompensated Heart Failure?. Prehospital Emergency Care. 10(1). 41–45. 12 indexed citations

5.

Sporer, Karl A., et al.. (2004). MEDICATIONEFFECTS OFPREHOSPITALTREATMENT OFPATIENTS WITHACUTECARDIOGENICPULMONARYEDEMA. Prehospital Emergency Care. 8(1). 94–94. 1 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.

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