K. UNKLESBAY

29 papers receiving 369 citations

Peers

K. UNKLESBAY
Comparison fields: 5 of 81
  • Biotechnology 78
  • Animal Science and Zoology 69
  • Analytical Chemistry 58
  • Food Science 93
  • Plant Science 133
Replace Antonella Del Fiore with:
Antonella Del Fiore Italy
Peter Edward Doe Australia
Jean-Pierre Gauchi France
K. Vijayalakshmi India
Mary‐Grace C. Danao United States
Valeria Tafintseva Norway
Muhammad A. Shahin Canada
Marvin J. Pitts United States
A. A. Teixeira Brazil
József Farkas Hungary
K. UNKLESBAY relative to Antonella Del Fiore Italy Antonella Del Fiore's profile →
Citations per field
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Antonella Del Fiore · 1×
Citations per year

Countries citing papers authored by K. UNKLESBAY

Since Specialization
Citations

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

Fields of papers citing papers by K. UNKLESBAY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside K. UNKLESBAY, 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 K. UNKLESBAY Line = papers co-authored together K. UNKLESBAY links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200082
2 199152
3 199145
4 198432
5 199826
6 200025
7 198222
8 199518
9
Shape description of completely-visible and partially-occluded leaves for identifying plants in digital images.
199014
10 198012
11 199012
12
Determination of Internal Color of Beef Ribeye Steaks Using Digital Image Analysis
198610
13 19898
14 19817
15 19855
16 19785
17 19895
18 19925
19 19834
20
Identification of major areas of energy utilization in the food processing/foodservice industry
19773

About K. UNKLESBAY

K. UNKLESBAY is a scholar working on Animal Science and Zoology, Food Science, Nutrition and Dietetics, Biotechnology and Ecology, having authored 31 papers that have together received 410 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (11 papers), Leaf Properties and Growth Measurement (5 papers), Microbial Inactivation Methods (5 papers), Food composition and properties (5 papers), Food Drying and Modeling (5 papers), Smart Agriculture and AI (4 papers), Remote Sensing in Agriculture (3 papers) and Listeria monocytogenes in Food Safety (3 papers). The work is most often cited by research in Biotechnology (78 citations), Animal Science and Zoology (69 citations), Analytical Chemistry (58 citations), Food Science (93 citations) and Plant Science (133 citations). K. UNKLESBAY has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nan Unklesbay, Elke Franz, M. R. Gebhardt, Thomas E. Clevenger, K.F. McDonald, J. Golden, Randy D. Curry, A. Eisenstark, Mark R. Ellersieck and Andrew D. Clarke. Their work appears in journals such as Journal of Food Science, IEEE Transactions on Plasma Science, Engineering Optimization, Poultry Science and Journal of Food Protection.

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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