Deepak Khosla

2.2k citations
58 papers · 1.6k · 1 hit paper · h-index 12

Impact in

Papers in

Deepak Khosla

57 papers receiving 1.5k citations

Deepak Khosla's Hit Papers

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition 2014 · 660 citations
6600+4+8Years since publication200400600

Peers

Deepak Khosla
Comparison fields: 5 of 89
  • Cognitive Neuroscience 947
  • Sensory Systems 97
  • Electrical and Electronic Engineering 641
  • Experimental and Cognitive Psychology 135
  • Computer Vision and Pattern Recognition 202
Replace Laurent Perrinet with:
Laurent Perrinet France
Si Wu China
Michele Rucci United States
Charles F. Cadieu United States
Fred H. Hamker Germany
Bart De Bruyn Belgium
Daniel H. Baker United Kingdom
Ethan A. Solomon United States
Ha Hong United States
Benoit R. Cottereau France
Deepak Khosla relative to Laurent Perrinet France Laurent Perrinet's profile →
Citations per field
00.5×4.2×
Laurent Perrinet · 1×
Citations per year

Countries citing papers authored by Deepak Khosla

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Khosla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
Hit paper breakdown →
2014660
2 2002306
3 2001147
4 200384
5 199945
6 199643
7 200332
8 200130
9 199728
10 201223
11 201221
12 199115
13 201411
14 199911
15 20039
16 19959
17 20148
18 20127
19 20197
20 20136

About Deepak Khosla

Deepak Khosla is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (15 papers), Neural dynamics and brain function (14 papers), CCD and CMOS Imaging Sensors (9 papers), Advanced Memory and Neural Computing (8 papers), Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (947 citations), Sensory Systems (97 citations), Electrical and Electronic Engineering (641 citations), Experimental and Cognitive Psychology (135 citations) and Computer Vision and Pattern Recognition (202 citations). Deepak Khosla has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Yang Chen, Yongqiang Cao, Betty Kwong, Manuel Don, Curtis W. Ponton, Jos J. Eggermont, Juha‐Pekka Vasama, Kelly L. Tremblay, Manbir Singh and David Huber. Their work appears in journals such as IEEE Transactions on Nuclear Science, Clinical Neurophysiology, Journal of Microscopy, IEEE Transactions on Biomedical Engineering and International Journal of Computer Vision.

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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