Krishna Kadiyala

8 total papers · 1.4k total citations
5 papers, 925 citations indexed

About

Krishna Kadiyala is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Krishna Kadiyala has authored 5 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Krishna Kadiyala's work include Software-Defined Networks and 5G (3 papers), Network Security and Intrusion Detection (2 papers) and Security and Verification in Computing (1 paper). Krishna Kadiyala is often cited by papers focused on Software-Defined Networks and 5G (3 papers), Network Security and Intrusion Detection (2 papers) and Security and Verification in Computing (1 paper). Krishna Kadiyala collaborates with scholars based in United States, India and Australia. Krishna Kadiyala's co-authors include Amirreza Niakanlahiji, Fatemeh Jalali, Ashkan Yousefpour, Jian Kong, Tam N. Nguyen, Jason P. Jue, Jorge A. Cobb, Praveen Tammana and Saurabh Joshi and has published in prestigious journals such as Journal of Systems Architecture.

In The Last Decade

Krishna Kadiyala

5 papers receiving 891 citations

Hit Papers

All one needs to know abo... 2019 2026 2021 2023 2019 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Krishna Kadiyala 778 375 245 161 112 5 925
Tam N. Nguyen 769 1.0× 391 1.0× 245 1.0× 170 1.1× 117 1.0× 5 946
Shahid Khan 628 0.8× 275 0.7× 252 1.0× 160 1.0× 114 1.0× 9 904
Cheng Li 809 1.0× 371 1.0× 279 1.1× 188 1.2× 117 1.0× 10 924
Pengfei Hu 934 1.2× 429 1.1× 321 1.3× 272 1.7× 157 1.4× 12 1.1k
Amirreza Niakanlahiji 839 1.1× 465 1.2× 248 1.0× 163 1.0× 165 1.5× 15 1.1k
Hucheng Wang 539 0.7× 184 0.5× 369 1.5× 99 0.6× 89 0.8× 5 898
Srimal Jayawardena 509 0.7× 173 0.5× 260 1.1× 158 1.0× 86 0.8× 8 896
Andrei Palade 847 1.1× 454 1.2× 224 0.9× 240 1.5× 131 1.2× 19 1.1k
Aisha Siddiqa 517 0.7× 367 1.0× 153 0.6× 133 0.8× 277 2.5× 10 1.1k
V. Sundramoorthy 618 0.8× 241 0.6× 301 1.2× 263 1.6× 109 1.0× 15 1.1k

Countries citing papers authored by Krishna Kadiyala

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kadiyala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Kadiyala

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

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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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