Deepak Venugopal

1.0k total citations
39 papers, 605 citations indexed

About

Deepak Venugopal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Deepak Venugopal has authored 39 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Deepak Venugopal's work include Bayesian Modeling and Causal Inference (18 papers), Machine Learning and Algorithms (8 papers) and Topic Modeling (8 papers). Deepak Venugopal is often cited by papers focused on Bayesian Modeling and Causal Inference (18 papers), Machine Learning and Algorithms (8 papers) and Topic Modeling (8 papers). Deepak Venugopal collaborates with scholars based in United States, India and Switzerland. Deepak Venugopal's co-authors include Vibhav Gogate, Sajjan G. Shiva, Liangfei Qiu, Naveen Kumar, Subodha Kumar, Guoning Hu, Saikat Das, Ahmed Mahfouz, Abdullah Abuhussein and Chen Chen and has published in prestigious journals such as Journal of Management Information Systems, Future Internet and Mobile Information Systems.

In The Last Decade

Deepak Venugopal

38 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Venugopal United States	13	408	242	206	134	72	39	605
Rahul Kumar India	12	259 0.6×	225 0.9×	140 0.7×	194 1.4×	29 0.4×	43	575
Keivan Kianmehr Canada	12	197 0.5×	102 0.4×	72 0.3×	152 1.1×	56 0.8×	36	377
Aris M. Ouksel United States	11	190 0.5×	357 1.5×	101 0.5×	114 0.9×	20 0.3×	45	555
X. Sean Wang United States	13	299 0.7×	366 1.5×	379 1.8×	269 2.0×	40 0.6×	29	677
Riccardo Ortale Italy	13	248 0.6×	108 0.4×	116 0.6×	179 1.3×	24 0.3×	50	419
Tanveer A. Faruquie India	15	340 0.8×	93 0.4×	110 0.5×	183 1.4×	21 0.3×	47	585
Yahya Slimani Tunisia	14	340 0.8×	322 1.3×	49 0.2×	368 2.7×	35 0.5×	89	822
Antonio Badia United States	9	231 0.6×	163 0.7×	82 0.4×	178 1.3×	26 0.4×	31	409
Gianni Costa Italy	12	210 0.5×	94 0.4×	105 0.5×	140 1.0×	18 0.3×	45	358
Borys Omelayenko Netherlands	12	375 0.9×	127 0.5×	43 0.2×	342 2.6×	32 0.4×	22	555

Countries citing papers authored by Deepak Venugopal

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Venugopal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Venugopal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Venugopal. A scholar is included among the top collaborators of Deepak Venugopal 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 Deepak Venugopal. Deepak Venugopal 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

Venugopal, Deepak, et al.. (2024). Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic. ArXiv.org. 5422–5431.

Venugopal, Deepak, et al.. (2023). Verifying Relational Explanations: A Probabilistic Approach. 108–115. 1 indexed citations

Garzón, Max, et al.. (2022). Dimensionality Reduction in Data Science. 7 indexed citations

Venugopal, Deepak, et al.. (2022). Evaluating Captioning Models using Markov Logic Networks. 2022 IEEE International Conference on Big Data (Big Data). 127–134. 1 indexed citations

Venugopal, Deepak, et al.. (2021). Contrastive Learning in Neural Tensor Networks using Asymmetric Examples. 2021 IEEE International Conference on Big Data (Big Data). 28–39. 1 indexed citations

Gogate, Vibhav, Abhay K. Jha, & Deepak Venugopal. (2021). Advances in Lifted Importance Sampling. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1910–1916. 1 indexed citations

Das, Saikat, et al.. (2020). Taxonomy and Survey of Interpretable Machine Learning Method. 670–677. 17 indexed citations

Mahfouz, Ahmed, Abdullah Abuhussein, Deepak Venugopal, & Sajjan G. Shiva. (2020). Ensemble Classifiers for Network Intrusion Detection Using a Novel Network Attack Dataset. Future Internet. 12(11). 180–180. 60 indexed citations

Venugopal, Deepak, et al.. (2020). Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks. 54–63. 2 indexed citations

10.

Kumar, Naveen, Deepak Venugopal, Liangfei Qiu, & Subodha Kumar. (2018). Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models. SSRN Electronic Journal. 12 indexed citations

11.

Venugopal, Deepak, et al.. (2018). Efficient Weight Learning in High-Dimensional Untied MLNs.. International Conference on Artificial Intelligence and Statistics. 1637–1645. 4 indexed citations

12.

Venugopal, Deepak, et al.. (2018). Scaling up Inference in MLNs with Spark. 26. 118–125. 1 indexed citations

13.

Venugopal, Deepak, et al.. (2017). Efficient Inference for Untied MLNs. 4617–4624. 1 indexed citations

14.

Lü, Jing, Deepak Venugopal, Vibhav Gogate, & Vincent Ng. (2016). Joint Inference for Event Coreference Resolution.. International Conference on Computational Linguistics. 3264–3275. 23 indexed citations

15.

Venugopal, Deepak, et al.. (2016). Non-parametric domain approximation for scalable Gibbs sampling in MLNs. Uncertainty in Artificial Intelligence. 745–754. 2 indexed citations

16.

Venugopal, Deepak & Vasile Rus. (2016). Joint Inference for Mode Identification in Tutorial Dialogues.. International Conference on Computational Linguistics. 2000–2011. 1 indexed citations

17.

Venugopal, Deepak & Vibhav Gogate. (2014). Scaling-up Importance Sampling for Markov Logic Networks. Neural Information Processing Systems. 27. 2978–2986. 9 indexed citations

18.

Venugopal, Deepak, et al.. (2014). Lifted MAP Inference for Markov Logic Networks. International Conference on Artificial Intelligence and Statistics. 859–867. 20 indexed citations

19.

Venugopal, Deepak & Vibhav Gogate. (2012). On Lifting the Gibbs Sampling Algorithm. Neural Information Processing Systems. 25. 1655–1663. 31 indexed citations

20.

Hu, Guoning & Deepak Venugopal. (2007). A Malware Signature Extraction and Detection Method Applied to Mobile Networks. 8. 19–26. 13 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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