Siddharth Kaza

770 citations
60 papers · 424 indexed · h-index 13

Siddharth Kaza

55 papers receiving 393 citations

Peers

Siddharth Kaza
Comparison fields: 5 of 67
  • Information Systems 204
  • Artificial Intelligence 121
  • Sociology and Political Science 88
  • Signal Processing 76
  • Computer Science Applications 70
Replace Lara Quijano-Sánchez with:
Lara Quijano-Sánchez Spain
Fernando Díez Spain
Michail Tsikerdekis United States
Sachio Hirokawa Japan
Malcolm Corney Australia
Jack Wu Hong Kong
Daniel Alexander Smith United Kingdom
Pradeep K. Murukannaiah United States
Victor Ströele Brazil
Zubair Shafiq United States
Siddharth Kaza relative to Lara Quijano-Sánchez Spain Lara Quijano-Sánchez's profile →
Citations per field
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Lara Quijano-Sánchez · 1×
Citations per year

Countries citing papers authored by Siddharth Kaza

Since Specialization
Citations

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

Fields of papers citing papers by Siddharth Kaza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddharth Kaza

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 0
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5 1
6
CLARK - The Cybersecurity Labs and Resource Knowledge-base - A Living Digital Library.
2
7 2
8 8
9
Introducing secure coding in CS0, CS1, and CS2: conference workshop
2
10 2
11 28
12 5
13 5
14 3
15 4
16 3
17 1
18 2
19 18
20 3

About Siddharth Kaza

Siddharth Kaza is a scholar working on Computer Science Applications, Information Systems and Signal Processing, having authored 60 papers that have together received 424 indexed citations. Recurring topics across this work include Information and Cyber Security (17 papers), Advanced Malware Detection Techniques (10 papers) and Crime Patterns and Interventions (7 papers). The work is most often cited by research in Computer Science Applications (70 citations), Information Systems (204 citations) and Signal Processing (76 citations). Siddharth Kaza has collaborated with scholars based in United States, Lithuania and China. Frequent co-authors include Hsinchun Chen, Hsinchun Chen, Ahmed Abbasi, Fatemeh Zahedi, Byron Marshall, Daning Hu, Jennifer Xu, Homa Atabakhsh, Hsinchun Chen and Claude Turner. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Decision Support Systems and ACM Transactions on Information Systems.

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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