Arjun Akula

428 total citations
14 papers, 159 citations indexed

About

Arjun Akula is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Arjun Akula has authored 14 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Arjun Akula's work include Multimodal Machine Learning Applications (7 papers), Topic Modeling (4 papers) and Semantic Web and Ontologies (3 papers). Arjun Akula is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Topic Modeling (4 papers) and Semantic Web and Ontologies (3 papers). Arjun Akula collaborates with scholars based in United States, India and China. Arjun Akula's co-authors include Song‐Chun Zhu, Shuai Wang, Siniša Todorović, Rajeev Sangal, Soravit Changpinyo, Keze Wang, Joyce Chai, Changsong Liu, Radhika Mamidi and Syed Azeemuddin and has published in prestigious journals such as iScience, Neural Information Processing Systems and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Arjun Akula

14 papers receiving 150 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arjun Akula United States 8 121 48 15 10 10 14 159
Aman Chadha United States 8 83 0.7× 49 1.0× 4 0.3× 7 0.7× 10 1.0× 33 184
Tameem Adel United Kingdom 8 146 1.2× 76 1.6× 36 2.4× 3 0.3× 9 0.9× 16 192
Behnam Hedayatnia United States 10 295 2.4× 47 1.0× 6 0.4× 23 2.3× 7 0.7× 22 356
Abhimanyu Dubey United States 6 57 0.5× 68 1.4× 13 0.9× 12 1.2× 5 0.5× 11 122
Prashan Madumal Australia 4 155 1.3× 16 0.3× 22 1.5× 3 0.3× 14 1.4× 7 186
Christopher Akiki Germany 4 133 1.1× 21 0.4× 8 0.5× 3 0.3× 25 2.5× 10 201
Brian Dolhansky United States 6 73 0.6× 150 3.1× 11 0.7× 3 0.3× 3 0.3× 8 211
Daniel Hesslow France 2 139 1.1× 24 0.5× 6 0.4× 3 0.3× 23 2.3× 4 194
Negar Rostamzadeh United States 8 107 0.9× 100 2.1× 36 2.4× 2 0.2× 25 2.5× 21 222
Shauli Ravfogel Israel 8 255 2.1× 80 1.7× 8 0.5× 4 0.4× 12 1.2× 17 308

Countries citing papers authored by Arjun Akula

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Arjun Akula

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Akula. A scholar is included among the top collaborators of Arjun Akula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arjun Akula. Arjun Akula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Jia, Zhiwei, Pradyumna Narayana, Arjun Akula, et al.. (2023). KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. 772–785. 1 indexed citations
2.
Akula, Arjun, et al.. (2023). LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. 18225–18250. 1 indexed citations
3.
Akula, Arjun, Pradyumna Narayana, Soravit Changpinyo, et al.. (2023). MetaCLUE: Towards Comprehensive Visual Metaphors Research. 23201–23211. 16 indexed citations
4.
He, Xuehai, Weixi Feng, Tsu-Jui Fu, et al.. (2022). CPL: Counterfactual Prompt Learning for Vision and Language Models. 3407–3418. 7 indexed citations
5.
Akula, Arjun, Soravit Changpinyo, Boqing Gong, et al.. (2021). CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2148–2166. 13 indexed citations
6.
Akula, Arjun, Spandana Gella, Keze Wang, Song‐Chun Zhu, & Siva Reddy. (2021). Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6398–6416. 1 indexed citations
7.
Akula, Arjun, Varun Jampani, Soravit Changpinyo, & Song‐Chun Zhu. (2021). Robust Visual Reasoning via Language Guided Neural Module Networks. Neural Information Processing Systems. 34. 5 indexed citations
8.
Akula, Arjun, Keze Wang, Changsong Liu, et al.. (2021). CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models. iScience. 25(1). 103581–103581. 35 indexed citations
9.
Akula, Arjun, Shuai Wang, & Song‐Chun Zhu. (2020). CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. Proceedings of the AAAI Conference on Artificial Intelligence. 34(3). 2594–2601. 31 indexed citations
10.
Akula, Arjun, Changsong Liu, Siniša Todorović, Joyce Chai, & Song‐Chun Zhu. (2019). Explainable AI as Collaborative Task Solving. Computer Vision and Pattern Recognition. 91–94. 2 indexed citations
11.
Akula, Arjun, et al.. (2015). Classification of Attributes in a Natural Language Query into Different SQL Clauses. Recent Advances in Natural Language Processing. 497–506. 8 indexed citations
12.
Akula, Arjun, Rajeev Sangal, & Radhika Mamidi. (2013). A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System. International Joint Conference on Natural Language Processing. 1216–1222. 5 indexed citations
13.
Akula, Arjun, et al.. (2013). A Web-Based Virtual Laboratory for Electromagnetic Theory. 13–18. 13 indexed citations
14.

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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