James Daniel

510 citations
10 papers · 392 · h-index 7

Impact in

Papers in

James Daniel

10 papers receiving 367 citations

Peers

James Daniel
Comparison fields: 5 of 84
  • Applied Microbiology and Biotechnology 79
  • Microbiology 53
  • Soil Science 64
  • Health Information Management 27
  • Epidemiology 195
Replace Elizabeth Cross with:
Elizabeth Cross United Kingdom
Ayako Ebata United Kingdom
Mahmudur Rahman Bangladesh
Perseverance Moyo South Africa
Feleke Mekonnen Demeke Ethiopia
Nathalie El Omeiri United States
Louise Rossignol France
Tarsis Mlaganile Tanzania
Md Shafiqul Bari Bangladesh
Rachel Freeman United Kingdom
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Citations per field
00.5×10.6×
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Citations per year

Countries citing papers authored by James Daniel

Since Specialization
Citations

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

Fields of papers citing papers by James Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200390
2 200786
3 200878
4
Winter Annual Cover Crops in a Virginia No-till Cotton Production System: II. Cover Crop and Tillage Effects on Soil Moisture, Cotton Yield, and Cotton Quality
199958
5 200739
6
Winter Annual Cover Crops in a Virginia No-till Cotton Production System: I. Biomass Production, Ground Cover, and Nitrogen Assimilation
199920
7
Connecting health departments and providers: syndromic surveillance's last mile.
200514
8
Service-oriented architecture for pediatric immunization decision support.
20073
9
Operation Unified Assistance: Tsunami Transitions
20062
10 19992

About James Daniel

James Daniel is a scholar working on Epidemiology, General Health Professions, Health Information Management, Agronomy and Crop Science and Soil Science, having authored 10 papers that have together received 392 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (3 papers), Pneumonia and Respiratory Infections (2 papers), Crop Yield and Soil Fertility (2 papers), Electronic Health Records Systems (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Mobile Health and mHealth Applications (1 paper), Agronomic Practices and Intercropping Systems (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (79 citations), Microbiology (53 citations), Soil Science (64 citations), Health Information Management (27 citations) and Epidemiology (195 citations). James Daniel has collaborated with scholars based in United States. Frequent co-authors include Richard Platt, Alfred DeMaria, Sheryl L. Rifas‐Shiman, Donald A. Goldmann, Susan S. Huang, Ken Kleinman, Jonathan A. Finkelstein, A. O. Abaye, M. M. Alley and Stephen I. Pelton. Their work appears in journals such as Journal of the American Medical Informatics Association, PEDIATRICS, Acta Horticulturae, Military review and PubMed.

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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