Srikanth Thudumu

566 total citations · 1 hit paper
14 papers, 299 citations indexed

About

Srikanth Thudumu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Srikanth Thudumu has authored 14 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Srikanth Thudumu's work include Anomaly Detection Techniques and Applications (5 papers), Topic Modeling (3 papers) and Advanced Statistical Methods and Models (2 papers). Srikanth Thudumu is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Topic Modeling (3 papers) and Advanced Statistical Methods and Models (2 papers). Srikanth Thudumu collaborates with scholars based in Australia, India and Malaysia. Srikanth Thudumu's co-authors include Jiong Jin, Philip Branch, Mohamed Abdelrazek, Scott Barnett, Rajesh Vasa, Kon Mouzakis, Sushil Bhandari, Saurabh Garg, James Montgomery and Gerard O’Reilly and has published in prestigious journals such as Journal Of Big Data, Algorithms and Swinburne Research Bank (Swinburne University of Technology).

In The Last Decade

Srikanth Thudumu

11 papers receiving 280 citations

Hit Papers

A comprehensive survey of anomaly detection techniques fo... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Srikanth Thudumu
Comparison fields: 5 of 83
  • Artificial Intelligence 204
  • Computer Networks and Communications 96
  • Signal Processing 53
  • Control and Systems Engineering 47
  • Computer Vision and Pattern Recognition 25
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Citations per field, relative to Srikanth Thudumu
Srikanth Thudumu · 1×
Citations per year, relative to Srikanth Thudumu
Srikanth Thudumu · 1×

Countries citing papers authored by Srikanth Thudumu

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth Thudumu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikanth Thudumu

This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth Thudumu. A scholar is included among the top collaborators of Srikanth Thudumu 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 Srikanth Thudumu. Srikanth Thudumu 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
# Work Indexed citations
1 0
2 2
3 32
4 6
5 2
6 6
7 2
8 1
9 0
10 0
11
A comprehensive survey of anomaly detection techniques for high dimensional big data breakdown →
237
12 5
13 3
14 3

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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