Arjun Akula
Impact in
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Semantic Web and Ontologies
Papers in
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- Topic Modeling 4
- Semantic Web and Ontologies 3
- Natural Language Processing Techniques 3
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 2
- Domain Adaptation and Few-Shot Learning 2
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- Multimodal Machine Learning Applications 7
- Human Pose and Action Recognition 3
- Co-authors
- Song‐Chun Zhu (6 shared papers)Shuai Wang (1 shared paper)Rajeev Sangal (2 shared papers)Changsong Liu (2 shared papers)Soravit Changpinyo (3 shared papers)Joyce Chai (2 shared papers)Keze Wang (2 shared papers)Siniša Todorović (2 shared papers)
- Journals
- iScience (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Neural Information Processing Systems (1 paper)International Joint Conference on Natural Language Processing (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Arjun Akula
14 papers receiving 150 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 10
- Artificial Intelligence 121
- Computer Vision and Pattern Recognition 48
- Safety Research 15
- Media Technology 7
Countries citing papers authored by Arjun Akula
This map shows the geographic impact of Arjun Akula'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 Arjun Akula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Akula more than expected).
Fields of papers citing papers by Arjun Akula
This network shows the impact of papers produced by Arjun Akula. 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 Arjun Akula. The network helps show where Arjun Akula may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Akula, 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 | 2021 | 35 | |
| 2 | 2020 | 31 | |
| 3 | 2012 | 21 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2013 | 13 | |
| 7 | Classification of Attributes in a Natural Language Query into Different SQL Clauses | 2015 | 8 |
| 8 | 2022 | 7 | |
| 9 | A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System | 2013 | 5 |
| 10 | Robust Visual Reasoning via Language Guided Neural Module Networks | 2021 | 5 |
| 11 | Explainable AI as Collaborative Task Solving | 2019 | 2 |
| 12 | 2023 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2023 | 1 |
About Arjun Akula
Arjun Akula is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Information Systems and Management and Health Informatics, having authored 14 papers that have together received 159 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Topic Modeling (4 papers), Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (3 papers), Human Pose and Action Recognition (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (121 citations), Computer Vision and Pattern Recognition (48 citations), Safety Research (15 citations) and Media Technology (7 citations). Arjun Akula has collaborated with scholars based in United States, India and China. Frequent co-authors include Song‐Chun Zhu, Shuai Wang, Rajeev Sangal, Changsong Liu, Soravit Changpinyo, Joyce Chai, Keze Wang, Siniša Todorović, Syed Azeemuddin and Radhika Mamidi. Their work appears in journals such as iScience, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the AAAI Conference on Artificial Intelligence, Neural Information Processing Systems and International Joint Conference on Natural Language Processing.
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.