Apoorv Saxena
- Artificial Intelligence top 5%
- Topic Modeling 2
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- Advanced Image and Video Retrieval Techniques 1
- Multimodal Machine Learning Applications 1
- Generative Adversarial Networks and Image Synthesis 1
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- Functional Brain Connectivity Studies 1
- Hallucinations in medical conditions 1
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- Computer Graphics and Visualization Techniques 1
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- Artificial Immune Systems Applications 1
- Co-authors
- Aditay TripathiPartha TalukdarB. SrinivasanSrikrishna KaranamK J JosephSumit ShekharNiyati Chhaya
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- International Journal of Computer Applications (1 paper)
- Partner nations
- India
In The Last Decade
Apoorv Saxena
4 papers receiving 278 citations
Hit Papers
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 260
- Computer Vision and Pattern Recognition 64
- Management Science and Operations Research 30
- Information Systems 33
- Health Informatics 1
Countries citing papers authored by Apoorv Saxena
This map shows the geographic impact of Apoorv Saxena'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 Apoorv Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apoorv Saxena more than expected).
Fields of papers citing papers by Apoorv Saxena
This network shows the impact of papers produced by Apoorv Saxena. 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 Apoorv Saxena. The network helps show where Apoorv Saxena may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Apoorv Saxena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 15 | |
| 4 | Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddingsbreakdown → | 2020 | 269 |
| 5 | 2018 | 3 |
About Apoorv Saxena
Apoorv Saxena is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 5 papers that have together received 289 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Functional Brain Connectivity Studies (1 paper), Hallucinations in medical conditions (1 paper), Multimodal Machine Learning Applications (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Artificial Immune Systems Applications (1 paper). The work is most often cited by research in Artificial Intelligence (260 citations), Computer Vision and Pattern Recognition (64 citations) and Management Science and Operations Research (30 citations). Apoorv Saxena has collaborated with scholars based in India. Frequent co-authors include Aditay Tripathi, Partha Talukdar, B. Srinivasan, Srikrishna Karanam, K J Joseph, Sumit Shekhar and Niyati Chhaya. Their work appears in journals such as International Journal of Computer Applications.
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.