G. Sivakumar

54 total papers · 635 total citations
21 papers, 151 citations indexed

About

G. Sivakumar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. Sivakumar has authored 21 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. Sivakumar's work include Logic, programming, and type systems (3 papers), Network Security and Intrusion Detection (3 papers) and Distributed systems and fault tolerance (2 papers). G. Sivakumar is often cited by papers focused on Logic, programming, and type systems (3 papers), Network Security and Intrusion Detection (3 papers) and Distributed systems and fault tolerance (2 papers). G. Sivakumar collaborates with scholars based in India and United States. G. Sivakumar's co-authors include Rahul Krishnan, Proma Bhattacharya, Nachum Dershowitz, K. Manisekar, Manikandan Narayanan, Madhumita Chatterjee, Andrews Athisayam, G. S. Anandha Mala, Deepak Kapur and Hantao Zhang and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Journal of Automated Reasoning.

In The Last Decade

G. Sivakumar

17 papers receiving 141 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Sivakumar	98	28	23	17	11	21	151
David Evans	133 1.4×	12 0.4×	31 1.3×	40 2.4×	18 1.6×	25	197
Gabriele Ciravegna	80 0.8×	8 0.3×	13 0.6×	5 0.3×	20 1.8×	21	135
Srđan Krstić	54 0.6×	40 1.4×	41 1.8×	33 1.9×	4 0.4×	16	129
Ollivier Haemmerlé	94 1.0×	17 0.6×	28 1.2×	42 2.5×	11 1.0×	18	141
Paul B. Jackson	99 1.0×	59 2.1×	62 2.7×	23 1.4×	3 0.3×	20	173
Pierre Glize	60 0.6×	16 0.6×	40 1.7×	15 0.9×	9 0.8×	22	104
Martin Tappler	58 0.6×	16 0.6×	23 1.0×	12 0.7×	13 1.2×	19	107
Panagiotis Kouvaros	154 1.6×	87 3.1×	27 1.2×	8 0.5×	21 1.9×	18	189
Linas Laibinis	59 0.6×	64 2.3×	38 1.7×	33 1.9×	11 1.0×	27	140
Fraser Brown	122 1.2×	22 0.8×	34 1.5×	66 3.9×	7 0.6×	21	207

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 of co-authors of G. Sivakumar

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

All Works

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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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