Avita Katal

91 total papers · 1.8k total citations
39 papers, 955 citations indexed

About

Avita Katal is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Avita Katal has authored 39 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 16 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Avita Katal's work include IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (9 papers) and Network Security and Intrusion Detection (6 papers). Avita Katal is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (9 papers) and Network Security and Intrusion Detection (6 papers). Avita Katal collaborates with scholars based in India, Bangladesh and South Korea. Avita Katal's co-authors include R. H. Goudar, Mohammad Wazid, Susheela Dahiya, Tanupriya Choudhury, Devesh Pratap Singh, Ansh Gupta, Robin Sharma, Shivam Sharma, Ajay Rana and Marwan Al‐Akaidi and has published in prestigious journals such as The Journal of Supercomputing, Cluster Computing and Education Research International.

In The Last Decade

Avita Katal

37 papers receiving 862 citations

Hit Papers

Big data: Issues, challen... 2013 2026 2017 2021 2013 2022 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Avita Katal 418 393 208 194 114 39 955
Ayoub Ait Lahcen 397 0.9× 210 0.5× 241 1.2× 402 2.1× 63 0.6× 35 1.1k
R. H. Goudar 472 1.1× 401 1.0× 203 1.0× 313 1.6× 118 1.0× 105 1.2k
Peter Membrey 321 0.8× 264 0.7× 235 1.1× 149 0.8× 40 0.4× 21 813
Mohsen Marjani 356 0.9× 478 1.2× 140 0.7× 369 1.9× 143 1.3× 34 1.2k
Paola Grosso 515 1.2× 723 1.8× 149 0.7× 233 1.2× 181 1.6× 119 1.2k
Vijay K. Vaishnavi 380 0.9× 369 0.9× 167 0.8× 254 1.3× 93 0.8× 49 1.1k
Scott Graham 323 0.8× 641 1.6× 127 0.6× 207 1.1× 129 1.1× 64 1.1k
Nazri Kama 335 0.8× 285 0.7× 124 0.6× 165 0.9× 215 1.9× 77 932
Muthu Ramachandran 693 1.7× 452 1.2× 137 0.7× 338 1.7× 86 0.8× 97 1.2k
Dong‐Her Shih 395 0.9× 300 0.8× 97 0.5× 230 1.2× 184 1.6× 84 1.2k

Countries citing papers authored by Avita Katal

Since Specialization
Citations

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

Fields of papers citing papers by Avita Katal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avita Katal

This figure shows the co-authorship network connecting the top 25 collaborators of Avita Katal. A scholar is included among the top collaborators of Avita Katal 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 Avita Katal. Avita Katal 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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2026