Ian P. Howard

5.7k citations
85 papers · 3.8k indexed · 2 hit papers · h-index 32
Topics
Visual perception and processing mechanisms (46 papers)Tactile and Sensory Interactions (14 papers)Ophthalmology and Visual Impairment Studies (9 papers)

In The Last Decade

Ian P. Howard

82 papers receiving 3.6k citations

Hit Papers

Human Visual Orientation198220261996201119821996250500750

Peers

Ian P. Howard
Comparison fields: 5 of 134
  • Cognitive Neuroscience 3.0k
  • Computer Vision and Pattern Recognition 581
  • Epidemiology 573
  • Social Psychology 489
  • Human-Computer Interaction 485
Replace Brian Rogers with:
Brian Rogers United Kingdom
Suzanne P. McKee United States
Casper J. Erkelens Netherlands
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Markus Lappe Germany
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Hans Wallach United States
Laurence R. Harris Canada
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Ian P. Howard relative to Brian Rogers United Kingdom Brian Rogers's profile →
Citations per field
00.5×1.5×
Brian Rogers · 1×
Citations per year

Countries citing papers authored by Ian P. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Ian P. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian P. Howard. 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 Ian P. Howard. The network helps show where Ian P. Howard may publish in the future.

Co-authorship network of co-authors of Ian P. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Ian P. Howard. A scholar is included among the top collaborators of Ian P. Howard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian P. Howard. Ian P. Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Low cost remote data acquisition system
1
2 3
3
Other mechanisms of depth perception
1
4 18
5 187
6 13
7 0
8 31
9 9
10 8
11 36
12 19
13 4
14 4
15 32
16 39
17 28
18
Spatial vision within egocentric and exocentric frames of reference
9
19 43
20 36

About Ian P. Howard

Ian P. Howard is a scholar working on Cognitive Neuroscience, Media Technology and Neurology, having authored 85 papers that have together received 3.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (46 papers), Tactile and Sensory Interactions (14 papers) and Ophthalmology and Visual Impairment Studies (9 papers). The work is most often cited by research in Cognitive Neuroscience (3.0k citations), Human-Computer Interaction (485 citations) and Media Technology (443 citations). Ian P. Howard has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Brian Rogers, R. Blake, Masao Ohmi, Thomas Heckmann, Hirohiko Kaneko, Robert S. Allison, W. B. Templeton, James E. Zacher, Jack P. Landolt and Gang Hu. Their work appears in journals such as Nature, Science and Trends in Neurosciences.

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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