Parvez Ahammad

1.0k citations
28 papers · 639 indexed · 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 609 citations

Peers

Parvez Ahammad
Comparison fields: 5 of 83
  • Biophysics 90
  • Computer Vision and Pattern Recognition 299
  • Media Technology 70
  • Computer Networks and Communications 134
  • Aging 9
Replace Lu Bai with:
Lu Bai China
Bernd Michaelis Germany
Art Pope United States
Daniel Gehrig Switzerland
S. Waydo United States
Vinh‐Thong Ta France
Ben Poole United States
D. R. Myatt United Kingdom
Adam S. Charles United States
M. Arndt Germany
Parvez Ahammad relative to Lu Bai China Lu Bai's profile →
Citations per field
00.5×4.7×
Lu Bai · 1×
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 2008148
2 201189
3 201573
4 200860
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 200812
14 202112
15 201310
16 20119
17 20177
18 20147
19 20155
20 20224

About Parvez Ahammad

Parvez Ahammad is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications, Human-Computer Interaction, Biophysics and Media Technology, having authored 28 papers that have together received 639 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image and Video Quality Assessment (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers), Advanced Vision and Imaging (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Biophysics (90 citations), Computer Vision and Pattern Recognition (299 citations), Media Technology (70 citations), Computer Networks and Communications (134 citations) and Aging (9 citations). Parvez Ahammad has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Chuohao Yeo, Kannan Ramchandran, S. Shankar Sastry, Edgar Lobatón, Eugene W. Myers, Phoebus Chen, Simon Wang, Songhwai Oh, Shankar Sastry and Allen Y. Yang. Their work appears in journals such as Biological Psychiatry Cognitive Neuroscience and Neuroimaging, ACM SIGCOMM Computer Communication Review, ACM Transactions on Sensor Networks, BMC Bioinformatics and IEEE Transactions on Circuits and Systems for Video Technology.

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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