Parag Singla

2.3k total citations
53 papers, 1.2k citations indexed

About

Parag Singla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Parag Singla has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Management Science and Operations Research. Recurrent topics in Parag Singla's work include Bayesian Modeling and Causal Inference (23 papers), Topic Modeling (14 papers) and Machine Learning and Algorithms (13 papers). Parag Singla is often cited by papers focused on Bayesian Modeling and Causal Inference (23 papers), Topic Modeling (14 papers) and Machine Learning and Algorithms (13 papers). Parag Singla collaborates with scholars based in India, United States and Singapore. Parag Singla's co-authors include Pedro Domingos, Matthew Richardson, Stanley Kok, Raymond J. Mooney, Vibhav Gogate, Mausam Mausam, Henry Kautz, Deepak Venugopal, Jiebo Luo and Hoifung Poon and has published in prestigious journals such as Communications of the ACM, IEEE Signal Processing Letters and Computer Vision and Image Understanding.

In The Last Decade

Parag Singla

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parag Singla India	16	893	269	241	183	176	53	1.2k
Pierre Senellart France	16	745 0.8×	394 1.5×	301 1.2×	373 2.0×	130 0.7×	48	1.2k
Denilson Barbosa Canada	19	973 1.1×	327 1.2×	203 0.8×	375 2.0×	80 0.5×	77	1.3k
Grant Schoenebeck United States	13	517 0.6×	231 0.9×	143 0.6×	206 1.1×	136 0.8×	43	918
Lejian Liao China	20	784 0.9×	569 2.1×	90 0.4×	213 1.2×	156 0.9×	123	1.3k
Enrique Amigó Spain	16	840 0.9×	388 1.4×	104 0.4×	68 0.4×	125 0.7×	51	1.1k
Yudian Zheng China	17	874 1.0×	285 1.1×	368 1.5×	171 0.9×	94 0.5×	29	1.4k
Pável Calado Portugal	22	703 0.8×	625 2.3×	128 0.5×	140 0.8×	101 0.6×	64	1.2k
William Webber Australia	14	656 0.7×	615 2.3×	154 0.6×	145 0.8×	75 0.4×	35	1.2k
Kuiyu Chang Singapore	19	795 0.9×	451 1.7×	55 0.2×	133 0.7×	198 1.1×	45	1.1k
Roi Blanco Spain	20	805 0.9×	640 2.4×	162 0.7×	226 1.2×	60 0.3×	74	1.2k

Countries citing papers authored by Parag Singla

Since Specialization

Citations

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

Fields of papers citing papers by Parag Singla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parag Singla

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

All Works

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20 of 20 papers shown

Mondal, Arnab Kumar, et al.. (2024). SoLAD: Sampling Over Latent Adapter for Few Shot Generation. IEEE Signal Processing Letters. 31. 3174–3178. 1 indexed citations

Mondal, Arnab Kumar, et al.. (2022). SSDMM-VAE: variational multi-modal disentangled representation learning. Applied Intelligence. 53(7). 8467–8481. 4 indexed citations

Mondal, Arnab Kumar, Himanshu Asnani, Parag Singla, & Prathosh AP. (2021). scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(5). 2996–3007. 5 indexed citations

Sharma, Soumya, et al.. (2020). Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task. Empirical Methods in Natural Language Processing. 402–408. 1 indexed citations

Chauhan, Mayank, et al.. (2020). OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion. 2 indexed citations

Pathak, Abhishek, et al.. (2019). A Primal Dual Formulation For Deep Learning With Constraints. Neural Information Processing Systems. 32. 12157–12168. 24 indexed citations

Grover, Aditya, et al.. (2016). Contextual symmetries in probabilistic graphical models. International Joint Conference on Artificial Intelligence. 3560–3568.

Naim, Iftekhar, Abdullah Al Mamun, Kaustubh Kulkarni, et al.. (2016). Unsupervised alignment of actions in video with text descriptions. International Joint Conference on Artificial Intelligence. 2025–2031. 18 indexed citations

Singla, Parag, et al.. (2016). Toward Caching Symmetrical Subtheories for Weighted Model Counting.. National Conference on Artificial Intelligence. 2 indexed citations

10.

Singla, Parag, et al.. (2015). Fast lifted MAP inference via partitioning. Neural Information Processing Systems. 28. 3240–3248. 7 indexed citations

11.

Grover, Aditya, et al.. (2015). ASAP-UCT: abstraction of state-action pairs in UCT. International Conference on Artificial Intelligence. 1509–1515. 12 indexed citations

12.

Singla, Parag, et al.. (2015). Lifted symmetry detection and breaking for MAP inference. Neural Information Processing Systems. 28. 1315–1323. 5 indexed citations

13.

Singla, Parag, et al.. (2013). Scaling-up quadratic programming feature selection. National Conference on Artificial Intelligence. 95–97. 1 indexed citations

14.

Singla, Parag. (2012). Markov logic networks: theory, algorithms and applications. International Conference on Management of Data. 15–15. 1 indexed citations

15.

Singla, Parag, Aniruddh Nath, & Pedro Domingos. (2010). Approximate lifted belief propagation. National Conference on Artificial Intelligence. 92–97. 10 indexed citations

16.

Domingos, Pedro, Stanley Kok, Daniel Lowd, et al.. (2008). Markov logic. 92–117. 42 indexed citations

17.

Singla, Parag & Pedro Domingos. (2008). Lifted first-order belief propagation. National Conference on Artificial Intelligence. 1094–1099. 138 indexed citations

18.

Singla, Parag & Pedro Domingos. (2006). Memory-efficient inference in relational domains. National Conference on Artificial Intelligence. 488–493. 51 indexed citations

19.

Singla, Parag & Pedro Domingos. (2005). Collective object identification. International Joint Conference on Artificial Intelligence. 1636–1637. 3 indexed citations

20.

Singla, Parag & Pedro Domingos. (2005). Discriminative training of Markov logic networks. National Conference on Artificial Intelligence. 868–873. 152 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.

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