David Naveh

22 papers receiving 708 citations

Peers

David Naveh
Comparison fields: 5 of 95
  • Biotechnology 106
  • Food Science 107
  • Molecular Biology 369
  • Infectious Diseases 81
  • Epidemiology 139
Replace João J. Clemente with:
João J. Clemente Portugal
John Auniņš United States
Jens Fricke Germany
J. L. Moreira Portugal
Ryohei Tsuji Japan
J Potel Germany
Zhenyu Shen United States
Young‐Sun Kang South Korea
Eiji Takahashi Japan
Krishnendu Chakraborty India
David Naveh relative to João J. Clemente Portugal João J. Clemente's profile →
Citations per field
00.5×9.9×
João J. Clemente · 1×
Citations per year

Countries citing papers authored by David Naveh

Since Specialization
Citations

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

Fields of papers citing papers by David Naveh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978126
2 200091
3 199791
4 199782
5 200676
6 197351
7 198346
8 198037
9 199531
10 198226
11 199521
12 198215
13 198314
14 19829
15 19847
16 19837
17 19817
18 19986
19 19836
20 19813

About David Naveh

David Naveh is a scholar working on Molecular Biology, Food Science, Mechanics of Materials, Mechanical Engineering and Biomedical Engineering, having authored 22 papers that have together received 756 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Food Drying and Modeling (6 papers), Freezing and Crystallization Processes (4 papers), Protein purification and stability (3 papers), 3D Printing in Biomedical Research (3 papers), Heat Transfer Mechanisms (2 papers), Medical Device Sterilization and Disinfection (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Biotechnology (106 citations), Food Science (107 citations), Molecular Biology (369 citations), Infectious Diseases (81 citations) and Epidemiology (139 citations). David Naveh has collaborated with scholars based in United States, Israel and India. Frequent co-authors include I. J. KOPELMAN, John Thrift, D Sompolinsky, Sadettin S. Ozturk, I. J. Pflug, Konstantin Konstantinov, Sandra Chuppa, Bryan D. Myers, Benjamin Griffel and A Klajman. Their work appears in journals such as Biotechnology and Bioengineering, Journal of Food Processing and Preservation, International Journal of Food Science & Technology, Journal of Food Science and Journal of Agricultural and Food Chemistry.

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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