Mark E Neumann

4.0k citations
29 papers · 858 · 1 hit paper · h-index 6

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Advanced Graph Neural Networks
    • Text Readability and Simplification
    • Sentiment Analysis and Opinion Mining

Papers in

Journals
ThinkTech (Texas Tech University) (1 paper)arXiv (Cornell University) (1 paper)PubMed (18 papers)Empirical Methods in Natural Language Processing (1 paper)HMD Praxis der Wirtschaftsinformatik (1 paper)

In The Last Decade

Mark E Neumann

26 papers receiving 804 citations

Mark E Neumann's Hit Papers

Knowledge Enhanced Contextual Word Representations 2019 · 359 citations
3590+2+4Years since publication100200300

Peers

Mark E Neumann
Comparison fields: 5 of 91
  • Artificial Intelligence 698
  • Health Informatics 13
  • Computer Vision and Pattern Recognition 143
  • General Social Sciences 12
  • Nephrology 25
Replace Shaodian Zhang with:
Shaodian Zhang China
Tejaswini Deoskar United Kingdom
Shashi Narayan United Kingdom
Luis Espinosa-Anke United Kingdom
Viviane P. Moreira Brazil
Bharat Ram Ambati India
György Szarvas Hungary
Goran Topić Japan
Anni Coden United States
Beatrice Alex United Kingdom
Mark E Neumann relative to Shaodian Zhang China Shaodian Zhang's profile →
Citations per field
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Shaodian Zhang · 1×
Citations per year

Countries citing papers authored by Mark E Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Mark E Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark E Neumann, 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 E Neumann Line = papers co-authored together Mark E Neumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Knowledge Enhanced Contextual Word Representations
Hit paper breakdown →
2019359
2 2020228
3 2018208
4
"Fistula first" initiative pushes for new standards in access care.
200414
5
Creation of innovation by knowledge management – A case study of a learning software organisation
20038
6 20217
7
GORC: A large contextual citation graph of academic papers
20193
8 20043
9
19th annual ranking: moderate growth for providers, but rebasing, ACO participation will impact long-term picture.
20133
10
KDIGO takes clinical practice guidelines to a global level.
20062
11
Writing Code for NLP Research
20182
12
Catheter use remains center of debate in success of Fistula First.
20082
13
Results in KEEP's first report show progress in early identification of CKD patients.
20032
14
FDA approval of Omontys changes the ESA playing field.
20122
15
20th annual ranking: a look back, and getting positioned for the future.
20142
16
PD takes a big jump in 2014, while HHD shows progress.
20141
17
Some bright spots for home dialysis.
20121
18
Losing ground. A look at the recent decline in PD therapy.
20021
19
Learning to Reason with Adaptive Computation
20161
20
The impending burden of kidney disease.
20151

About Mark E Neumann

Mark E Neumann is a scholar working on Artificial Intelligence, Strategy and Management, Computer Vision and Pattern Recognition, Management of Technology and Innovation and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 858 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (2 papers), Semantic Web and Ontologies (2 papers), Knowledge Management and Sharing (1 paper), Corporate Governance and Management (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Trauma and Emergency Care Studies (1 paper). The work is most often cited by research in Artificial Intelligence (698 citations), Health Informatics (13 citations), Computer Vision and Pattern Recognition (143 citations), General Social Sciences (12 citations) and Nephrology (25 citations). Mark E Neumann has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Matthew E. Peters, Wen-tau Yih, Luke Zettlemoyer, Robert Logan, Roy Schwartz, Vidur Joshi, Noah A. Smith, Sameer Singh, Rodney Kinney and Kyle Lo. Their work appears in journals such as ThinkTech (Texas Tech University), arXiv (Cornell University), PubMed, Empirical Methods in Natural Language Processing and HMD Praxis der Wirtschaftsinformatik.

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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