James Batchelor

791 citations
28 papers · 517 · h-index 11

Impact in

Papers in

James Batchelor

25 papers receiving 507 citations

Peers

James Batchelor
Comparison fields: 5 of 82
  • Infectious Diseases 215
  • Anesthesiology and Pain Medicine 26
  • Health Information Management 26
  • Health Informatics 7
  • Applied Microbiology and Biotechnology 5
Replace Baptiste Duceau with:
Baptiste Duceau France
Giuseppe Canonico Italy
Tommaso Nelli Italy
Francesca Facondini Italy
Antonella Potalivo Italy
Christopher Fung United States
J. Calvin Coffey Ireland
Heeah Nassa United Kingdom
Girendra Sadera United Kingdom
Sarah Béatrice Heili-Frades Spain
James Batchelor relative to Baptiste Duceau France Baptiste Duceau's profile →
Citations per field
00.5×2×2.9×
Baptiste Duceau · 1×
Citations per year

Countries citing papers authored by James Batchelor

Since Specialization
Citations

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

Fields of papers citing papers by James Batchelor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021101
2 202076
3 202260
4 202053
5 201431
6 202026
7 202326
8 202225
9 202017
10 202115
11 202112
12 202010
13 202210
14 20229
15 20228
16 20258
17 20227
18 20176
19 20246
20 20214

About James Batchelor

James Batchelor is a scholar working on Infectious Diseases, Health Information Management, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Health Informatics, having authored 28 papers that have together received 517 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Machine Learning in Healthcare (3 papers), Telemedicine and Telehealth Implementation (3 papers), Biomedical Text Mining and Ontologies (2 papers), Health and Medical Research Impacts (2 papers), Electronic Health Records Systems (2 papers), Medical Coding and Health Information (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Infectious Diseases (215 citations), Anesthesiology and Pain Medicine (26 citations), Health Information Management (26 citations), Health Informatics (7 citations) and Applied Microbiology and Biotechnology (5 citations). James Batchelor has collaborated with scholars based in United Kingdom, Brazil and Ghana. Frequent co-authors include Michael Head, Rebecca J. Brown, Rifat Ali Atun, Marie‐Louise Newell, J. Anthony G. Scott, Hang T. T. Phan, Florina Borca, Nicholas Shenker, Alex Dickinson and Gareth T. Jones. Their work appears in journals such as BMJ Open, Digestive Diseases and Sciences, The Lancet Global Health, Nature Cancer and International Journal of Protective Structures.

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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