Mark L. Homer

16 papers receiving 995 citations

Mark L. Homer's Hit Papers

Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study 2018 · 469 citations
4690+2+5Years since publication100200300400

Peers

Mark L. Homer
Comparison fields: 5 of 88
  • Anesthesiology and Pain Medicine 120
  • Cognitive Neuroscience 345
  • Cellular and Molecular Neuroscience 273
  • Public Health, Environmental and Occupational Health 290
  • Surgery 114
Replace Allison T. Connolly with:
Allison T. Connolly United States
Harsimrat Singh United Kingdom
Wala Saadeh Pakistan
Hubert A. Kordylewski United States
Nur Azah Hamzaid Malaysia
Bear Moon Goldstein United States
Raul Fernandez Rojas Australia
Ahmad Shalbaf Iran
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Citations per field
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Citations per year

Countries citing papers authored by Mark L. Homer

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Homer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark L. Homer. 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 Mark L. Homer. The network helps show where Mark L. Homer may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark L. Homer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark L. Homer Line = papers co-authored together Mark L. Homer links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study
Hit paper breakdown →
2018469
2 2013180
3 2013100
4 200088
5 201479
6 201620
7 201719
8 201316
9 200912
10 201310
11 20078
12 20036
13 20225
14 20044
15
The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight.
20164
16 20194

About Mark L. Homer

Mark L. Homer is a scholar working on Cognitive Neuroscience, Hardware and Architecture, Aerospace Engineering, Computational Theory and Mathematics and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Real-Time Systems Scheduling (2 papers), Guidance and Control Systems (2 papers), Neuroscience and Neural Engineering (2 papers), Military Defense Systems Analysis (2 papers), Advanced Memory and Neural Computing (2 papers), Mental Health via Writing (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (120 citations), Cognitive Neuroscience (345 citations), Cellular and Molecular Neuroscience (273 citations), Public Health, Environmental and Occupational Health (290 citations) and Surgery (114 citations). Mark L. Homer has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Leigh R. Hochberg, John P. Donoghue, Nathan Palmer, Kathe P. Fox, Brian K. Yorkgitis, Isaac S. Kohane, Cheryl N. McMahill‐Walraven, Andrew L. Beam, Mark C. Bicket and Gabriel A. Brat. Their work appears in journals such as Journal of Neural Engineering, BMJ, Frontiers in Physiology, The American Journal of Medicine and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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