Chris Belter

1.1k citations
18 papers · 703 · h-index 11

Impact in

Papers in

Chris Belter

18 papers receiving 677 citations

Peers

Chris Belter
Comparison fields: 5 of 165
  • Statistics, Probability and Uncertainty 147
  • Information Systems and Management 126
  • Health Informatics 17
  • Information Systems 179
  • Management Science and Operations Research 69
Replace Nisa Bakkalbasi with:
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Weina Hua China
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Askar Safipour Afshar Iran
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Citations per field
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Citations per year

Countries citing papers authored by Chris Belter

Since Specialization
Citations

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

Fields of papers citing papers by Chris Belter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Belter, 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 Chris Belter Line = papers co-authored together Chris Belter links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2015202
2 2018117
3 201893
4 201378
5 201470
6 201545
7 201218
8 201617
9 201715
10 201913
11 201812
12
Visualizing Networks of Scientific Research
20126
13 20194
14
Deepwater Horizon a preliminary bibliography of published research and expert commentary
20114
15 20163
16 20163
17 20142
18
Global-level data sets may be more highly cited than most journal articles.
20141

About Chris Belter

Chris Belter is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Public Health, Environmental and Occupational Health, General Health Professions and Information Systems and Management, having authored 18 papers that have together received 703 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (11 papers), Health and Medical Research Impacts (4 papers), Meta-analysis and systematic reviews (3 papers), Research Data Management Practices (3 papers), Health Sciences Research and Education (2 papers), Scientific Computing and Data Management (2 papers), Global Health and Surgery (2 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (147 citations), Information Systems and Management (126 citations), Health Informatics (17 citations), Information Systems (179 citations) and Management Science and Operations Research (69 citations). Chris Belter has collaborated with scholars based in United States, Sweden and Peru. Frequent co-authors include Dian J. Seidel, Alicia A. Livinski, Ya‐Ling Lu, Lisa Federer, Holly Thompson, Douglas Joubert, Nicole L. Stout, Alison N. Cernich, Karen Lohmann Siegel and Leighton Chan. Their work appears in journals such as Scientometrics, Journal of the Medical Library Association JMLA, PLoS ONE, JNCI Journal of the National Cancer Institute and Wiley Interdisciplinary Reviews Climate Change.

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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