H. D. Ellis
- Cognitive Neuroscience top 5%
- Face Recognition and Perception 15
- Neural dynamics and brain function 3
- Neural and Behavioral Psychology Studies 3
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- Evolutionary Psychology and Human Behavior 4
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- Face recognition and analysis 3
- Face and Expression Recognition 3
- Social Psychology top 10%
- Deception detection and forensic psychology 5
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- Psychological Testing and Assessment 3
- Co-authors
- John W. ShepherdAndrew W. YoungGraham DaviesKarel W. de PauwT. Krystyna SzuleckaValentina LeandriLicheng SunGeorge N. Christodoulou
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (4 papers)Trends in Cognitive Sciences (2 papers)
- Partner nations
- United KingdomGreeceUnited States
In The Last Decade
H. D. Ellis
27 papers receiving 623 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 525
- Experimental and Cognitive Psychology 222
- Computer Vision and Pattern Recognition 155
- Social Psychology 134
- Clinical Psychology 72
Countries citing papers authored by H. D. Ellis
This map shows the geographic impact of H. D. Ellis'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 H. D. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. D. Ellis more than expected).
Fields of papers citing papers by H. D. Ellis
This network shows the impact of papers produced by H. D. Ellis. 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 H. D. Ellis. The network helps show where H. D. Ellis may publish in the future.
Co-authorship network
The 21 scholars most cited alongside H. D. Ellis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 3 | |
| 2 | 1999 | 45 | |
| 3 | 1997 | 1 | |
| 4 | 1994 | 10 | |
| 5 | 1993 | 26 | |
| 6 | 1993 | 36 | |
| 7 | 1993 | 27 | |
| 8 | 1992 | 69 | |
| 9 | 1992 | 13 | |
| 10 | 1991 | 55 | |
| 11 | 1990 | 49 | |
| 12 | 1981 | 9 | |
| 13 | Theoretical aspects of face recognition | 1981 | 61 |
| 14 | 1979 | 38 | |
| 15 | 1978 | 21 | |
| 16 | 1973 | 70 | |
| 17 | 1972 | 13 | |
| 18 | 1972 | 4 | |
| 19 | 1970 | 29 | |
| 20 | 1966 | 15 |
About H. D. Ellis
H. D. Ellis is a scholar working on Cognitive Neuroscience, Applied Psychology and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 704 indexed citations. Recurring topics across this work include Face Recognition and Perception (15 papers), Deception detection and forensic psychology (5 papers), Evolutionary Psychology and Human Behavior (4 papers), Neural dynamics and brain function (3 papers), Face recognition and analysis (3 papers), Psychological Testing and Assessment (3 papers), Face and Expression Recognition (3 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (525 citations), Experimental and Cognitive Psychology (222 citations) and Computer Vision and Pattern Recognition (155 citations). H. D. Ellis has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include John W. Shepherd, Andrew W. Young, Graham Davies, Karel W. de Pauw, T. Krystyna Szulecka, Valentina Leandri, Licheng Sun, George N. Christodoulou, Gerrit Boschloo and A. Hagfeldt. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Trends in Cognitive Sciences.
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.