Deepak Venugopal

1.0k citations
39 papers · 605 · h-index 13

Impact in

    • Advanced Malware Detection Techniques
    • Topic Modeling
    • Bayesian Modeling and Causal Inference
    • Anomaly Detection Techniques and Applications
    • Internet Traffic Analysis and Secure E-voting
    • Natural Language Processing Techniques

Papers in

Deepak Venugopal

38 papers receiving 569 citations

Peers

Deepak Venugopal
Comparison fields: 5 of 63
  • Signal Processing 206
  • Artificial Intelligence 408
  • Computer Networks and Communications 242
  • Information Systems 134
  • Software 16
Replace Su-Cheng Haw with:
Su-Cheng Haw Malaysia
Rahul Kumar India
Qun Chen China
A. Segev United States
Ioana Stanoi United States
Roxana Geambasu United States
Alan Nash United States
Jyrki Nummenmaa Finland
Th.P. van der Weide Netherlands
Periklis Andritsos Canada
Deepak Venugopal relative to Su-Cheng Haw Malaysia Su-Cheng Haw's profile →
Citations per field
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Su-Cheng Haw · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Deepak Venugopal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepak Venugopal Line = papers co-authored together Deepak Venugopal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018127
2 201966
3 202060
4 201448
5 200848
6 202035
7
On Lifting the Gibbs Sampling Algorithm
201231
8
Joint Inference for Event Coreference Resolution.
201623
9
Lifted MAP Inference for Markov Logic Networks
201420
10 202017
11 201615
12 200713
13
Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models
201812
14 200612
15 201511
16
Scaling-up Importance Sampling for Markov Logic Networks
20149
17 20068
18 20227
19
Indian Financial System
20066
20
Efficient Weight Learning in High-Dimensional Untied MLNs.
20184

About Deepak Venugopal

Deepak Venugopal is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 605 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (18 papers), Machine Learning and Algorithms (8 papers), Topic Modeling (8 papers), Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (6 papers), Data Quality and Management (6 papers), Natural Language Processing Techniques (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Signal Processing (206 citations), Artificial Intelligence (408 citations), Computer Networks and Communications (242 citations), Information Systems (134 citations) and Software (16 citations). Deepak Venugopal has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Vibhav Gogate, Sajjan G. Shiva, Naveen Kumar, Liangfei Qiu, Subodha Kumar, Guoning Hu, Saikat Das, Abdullah Abuhussein, Ahmed Mahfouz and Vincent Ng. Their work appears in journals such as Future Internet, Journal of Management Information Systems, Mobile Information Systems, International Journal of Data Science and Analytics and 2022 IEEE International Conference on Big Data (Big Data).

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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