G. Sivakumar

640 citations
21 papers · 155 indexed · h-index 6

G. Sivakumar

17 papers receiving 145 citations

Peers

G. Sivakumar
Comparison fields: 5 of 49
  • Health Informatics 7
  • Artificial Intelligence 101
  • Computational Theory and Mathematics 29
  • Computational Mathematics 1
  • Computer Networks and Communications 23
Replace Akshayaram Srinivasan with:
Akshayaram Srinivasan United States
Fabian Boemer United States
HyungChul Kang South Korea
Jieun Eom South Korea
Valentin Dalibard United Kingdom
Nishant Kumar India
Si‐Ahmed Naas Finland
Dianhuan Lin United Kingdom
Qiao Zhang China
Amir Kantor Israel
G. Sivakumar relative to Akshayaram Srinivasan United States Akshayaram Srinivasan's profile →
Citations per field
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Akshayaram Srinivasan · 1×
Citations per year

Countries citing papers authored by G. Sivakumar

Since Specialization
Citations

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

Fields of papers citing papers by G. Sivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside G. Sivakumar, 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 G. Sivakumar Line = papers co-authored together G. Sivakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20240
5 20234
6 20233
7 20231
8 20229
9 20222
10 20200
11 20133
12 20091
13 20092
14 200710
15 199937
16 199964
17 19975
18 19951
19
Proofs and computations in conditional equational theories
19901
20
Goal—directed equation solving
19885

About G. Sivakumar

G. Sivakumar is a scholar working on Business and International Management, Computer Networks and Communications and Artificial Intelligence, having authored 21 papers that have together received 155 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Network Security and Intrusion Detection (3 papers), Peer-to-Peer Network Technologies (2 papers), Logic, Reasoning, and Knowledge (2 papers), Distributed systems and fault tolerance (2 papers), Security in Wireless Sensor Networks (2 papers), Access Control and Trust (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (101 citations) and Computational Theory and Mathematics (29 citations). G. Sivakumar has collaborated with scholars based in India and United States. Frequent co-authors include Proma Bhattacharya, Rahul Krishnan, Nachum Dershowitz, K. Manisekar, Manikandan Narayanan, Madhumita Chatterjee, Andrews Athisayam, Deepak Kapur, G. S. Anandha Mala and Hantao Zhang. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Journal of Automated Reasoning.

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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