Daniel M. Ennis

2.5k citations
83 papers · 1.8k · h-index 23

Impact in

Papers in

Daniel M. Ennis

83 papers receiving 1.7k citations

Peers

Daniel M. Ennis
Comparison fields: 5 of 132
  • Food Science 1.3k
  • Sensory Systems 290
  • Nutrition and Dietetics 802
  • Experimental and Cognitive Psychology 426
  • Statistics and Probability 198
Replace Michael O’Mahony with:
Michael O’Mahony United States
Jian Bi United States
John M. Ennis United States
Garmt Dijksterhuis Netherlands
Michael Meyners Germany
Michael O’Mahony United States
Howard G. Schutz United States
Jennifer A. Stillman New Zealand
Halliday J.H. MacFie United Kingdom
Dominique Valentin France
Daniel M. Ennis relative to Michael O’Mahony United States Michael O’Mahony's profile →
Citations per field
00.5×1.7×
Michael O’Mahony · 1×
Citations per year

Countries citing papers authored by Daniel M. Ennis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Ennis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993206
2 1997109
3 1998100
4 198888
5 198871
6 199462
7 199857
8 198651
9 198849
10 200140
11 199537
12 198635
13 199833
14 199533
15 201133
16 198732
17 198531
18 198831
19 201430
20 199130

About Daniel M. Ennis

Daniel M. Ennis is a scholar working on Food Science, Statistics and Probability, Nutrition and Dietetics, Management Science and Operations Research and Social Psychology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (50 papers), Biochemical Analysis and Sensing Techniques (13 papers), Color perception and design (9 papers), Optimal Experimental Design Methods (9 papers), Statistical Methods in Clinical Trials (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Economic and Environmental Valuation (7 papers) and Advanced Chemical Sensor Technologies (6 papers). The work is most often cited by research in Food Science (1.3k citations), Sensory Systems (290 citations), Nutrition and Dietetics (802 citations), Experimental and Cognitive Psychology (426 citations) and Statistics and Probability (198 citations). Daniel M. Ennis has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Jian Bi, Kenneth Mullen, Michael O’Mahony, John M. Ennis, Benoı̂t Rousseau, Norman L. Johnson, Benoı̂t Rousseau, Jan E. R. Frijters, F. Gregory Ashby and Amihud Kramer. Their work appears in journals such as Journal of Sensory Studies, Food Quality and Preference, Chemical Senses, Journal of Food Science and Psychometrika.

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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