Ibrahim Venkat

747 citations
66 papers · 597 · h-index 14

Impact in

Papers in

Ibrahim Venkat

63 papers receiving 585 citations

Peers

Ibrahim Venkat
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 205
  • Ocean Engineering 118
  • Transportation 49
  • Human-Computer Interaction 29
  • Signal Processing 44
Replace Jinyuan Jia with:
Jinyuan Jia China
Jianming Lv China
Pengfei Duan China
Weiren Shi China
Neeta Nain India
Ian Millington United States
Najla Al-Nabhan Saudi Arabia
Kai Qiu China
Saiful Azad Malaysia
Benjamín Hernández Mexico
Ibrahim Venkat relative to Jinyuan Jia China Jinyuan Jia's profile →
Citations per field
00.5×2.9×
Jinyuan Jia · 1×
Citations per year

Countries citing papers authored by Ibrahim Venkat

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Venkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 201253
3 201443
4 201734
5 201030
6 201927
7 201727
8 201223
9 202118
10 201418
11 201717
12 201516
13 202214
14 201214
15 201211
16 201511
17 201410
18 20199
19 20239
20 20179

About Ibrahim Venkat

Ibrahim Venkat is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Mechanical Engineering, Artificial Intelligence and Signal Processing, having authored 66 papers that have together received 597 indexed citations. Recurring topics across this work include Face and Expression Recognition (16 papers), DNA and Biological Computing (16 papers), Face recognition and analysis (15 papers), Modular Robots and Swarm Intelligence (12 papers), Advanced biosensing and bioanalysis techniques (10 papers), Evacuation and Crowd Dynamics (7 papers), Biometric Identification and Security (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (205 citations), Ocean Engineering (118 citations), Transportation (49 citations), Human-Computer Interaction (29 citations) and Signal Processing (44 citations). Ibrahim Venkat has collaborated with scholars based in Malaysia, United Kingdom and Brunei. Frequent co-authors include Philippe De Wilde, K. G. Subramanian, Azhar Mohd Ibrahim, Ahamad Tajudin Khader, Syaheerah Lebai Lutfi, Mohammed Azmi Al‐Betar, Rosni Abdullah, Fernando Fernández-Martínez, Linqiang Pan and Jun Wang. Their work appears in journals such as PLoS ONE, Lecture notes in computer science, Journal of Advanced Mechanical Design Systems and Manufacturing, International Journal of Computer Vision and IEEE Transactions on NanoBioscience.

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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