Arun Ahuja

2.4k total citations
12 papers, 177 citations indexed

About

Arun Ahuja is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Arun Ahuja has authored 12 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Arun Ahuja's work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Human Motion and Animation (2 papers). Arun Ahuja is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Human Motion and Animation (2 papers). Arun Ahuja collaborates with scholars based in United States, United Kingdom and India. Arun Ahuja's co-authors include Doug Downey, Jonathan Schwarz, David Rolnick, Timothy Lillicrap, Alexander Yates, Fei Huang, Josh Merel, Vu Pham, Nicolas Heess and Saran Tunyasuvunakool and has published in prestigious journals such as International Journal of Molecular Sciences, ACM Transactions on Graphics and Computational Linguistics.

In The Last Decade

Arun Ahuja

11 papers receiving 158 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arun Ahuja United States	6	119	87	63	13	8	12	177
Shant Navasardyan United States	6	28 0.2×	201 2.3×	27 0.4×	10 0.8×	6 0.8×	20	232
Hangjie Yuan China	7	91 0.8×	140 1.6×	13 0.2×	3 0.2×	9 1.1×	12	175
Xingyou Song United Kingdom	5	82 0.7×	22 0.3×	30 0.5×	6 0.5×	28 3.5×	8	124
Ming-Yu Liu United States	3	46 0.4×	106 1.2×	7 0.1×	4 0.3×	6 0.8×	4	152
Dian Gong United States	5	70 0.6×	139 1.6×	29 0.5×	5 0.4×	39 4.9×	10	187
Michal Geyer United Kingdom	2	31 0.3×	202 2.3×	12 0.2×	20 1.5×	6 0.8×	3	246
Yixuan Li United States	3	100 0.8×	51 0.6×	28 0.4×	1 0.1×	7 0.9×	6	189
Quan Vuong United States	7	52 0.4×	49 0.6×	47 0.7×		4 0.5×	15	124
Wendong Zhang China	6	26 0.2×	128 1.5×	11 0.2×	8 0.6×	16 2.0×	16	147
Philipp Dufter Germany	6	149 1.3×	63 0.7×	7 0.1×	3 0.2×	3 0.4×	17	195

Countries citing papers authored by Arun Ahuja

Since Specialization

Citations

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

Fields of papers citing papers by Arun Ahuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Ahuja

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Ahuja. A scholar is included among the top collaborators of Arun Ahuja 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 Arun Ahuja. Arun Ahuja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Ahuja, Arun, et al.. (2025). From Acute Injury to Chronic Neurodegeneration: Molecular Mechanisms Linking Secondary Brain Injury to Long-Term Pathology. International Journal of Molecular Sciences. 26(15). 7191–7191.

2.

Shah, Mona, et al.. (2022). CRITICAL SUCCESS FACTORS FOR AFFORDABLE HOUSING: EVIDENCE FROM LOWER-MIDDLE INCOME AND HIGH-INCOME ECONOMIES. 13(1). 1–19. 1 indexed citations

3.

Gkantou, Michaela, et al.. (2022). Integration of 3D Concrete Printing in the Construction Industry: A Short Review. 445–452. 1 indexed citations

4.

Song, Hao, Abbas Abdolmaleki, Jost Tobias Springenberg, et al.. (2020). V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control. arXiv (Cornell University). 3 indexed citations

5.

Merel, Josh, Saran Tunyasuvunakool, Arun Ahuja, et al.. (2020). Catch & Carry. ACM Transactions on Graphics. 39(4). 59 indexed citations

6.

Rolnick, David, et al.. (2019). Experience Replay for Continual Learning. arXiv (Cornell University). 32. 348–358. 54 indexed citations

7.

Merel, Josh, Arun Ahuja, Vu Pham, et al.. (2018). Hierarchical Visuomotor Control of Humanoids.. arXiv (Cornell University). 9 indexed citations

8.

Rubinsteyn, Alex, Tavi Nathanson, Arun Ahuja, et al.. (2017). hammerlab/varcode: Version 0.5.15. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

9.

Huang, Fei, Arun Ahuja, Doug Downey, et al.. (2013). Learning Representations for Weakly Supervised Natural Language Processing Tasks. Computational Linguistics. 40(1). 85–120. 29 indexed citations

10.

Huang, Fei, Alexander Yates, Arun Ahuja, & Doug Downey. (2011). Language Models as Representations for Weakly Supervised NLP Tasks. 125–134. 12 indexed citations

11.

Ahuja, Arun & Doug Downey. (2010). Improved Extraction Assessment through Better Language Models. 225–228. 7 indexed citations

12.

Downey, Doug, Arun Ahuja, & M. S. Anderson. (2009). Learning to Integrate Relational Databases with Wikipedia. 1 indexed citations

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.

Explore authors with similar magnitude of impact