Parvez Ahammad

1.0k citations
28 papers · 641 · h-index 13

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging

Papers in

Parvez Ahammad

28 papers receiving 612 citations

Peers

Parvez Ahammad
Comparison fields: 5 of 84
  • Biophysics 88
  • Computer Vision and Pattern Recognition 300
  • Media Technology 62
  • Computer Networks and Communications 134
  • Aging 9
Replace Lu Bai with:
Lu Bai China
Ben Poole United States
Bernd Michaelis Germany
Daniel Gehrig Switzerland
Art Pope United States
David Feng United States
Yoonsuck Choe United States
Andrew Saxe United States
S. Waydo United States
Laurent Perrinet France
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Citations per field
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Citations per year

Countries citing papers authored by Parvez Ahammad

Since Specialization
Citations

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

Fields of papers citing papers by Parvez Ahammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008147
2 201190
3 201573
4 200861
5 200842
6 201930
7 201726
8 201323
9 201919
10
Joint MRI Bias Removal Using Entropy Minimization Across Images
200416
11 200616
12 200912
13 202112
14 200812
15 201310
16 20119
17 20177
18 20147
19 20225
20 20155

About Parvez Ahammad

Parvez Ahammad is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 28 papers that have together received 641 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (5 papers), Image and Video Quality Assessment (4 papers), Human Pose and Action Recognition (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Advanced Vision and Imaging (3 papers), Video Surveillance and Tracking Methods (3 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Biophysics (88 citations), Computer Vision and Pattern Recognition (300 citations), Media Technology (62 citations), Computer Networks and Communications (134 citations) and Aging (9 citations). Parvez Ahammad has collaborated with scholars based in United States, Hungary and India. Frequent co-authors include Chuohao Yeo, Kannan Ramchandran, S. Shankar Sastry, Edgar Lobatón, Eugene W. Myers, Posu Yan, Songhwai Oh, Allen Y. Yang, Phoebus Chen and Shankar Sastry. Their work appears in journals such as Biological Psychiatry Cognitive Neuroscience and Neuroimaging, ACM SIGCOMM Computer Communication Review, International Journal of Computer Vision, Neuroinformatics and BMC Bioinformatics.

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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