Deepa Krishnan

31 total papers · 578 total citations
18 papers, 263 citations indexed

About

Deepa Krishnan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Deepa Krishnan has authored 18 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Deepa Krishnan's work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Deepa Krishnan is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Deepa Krishnan collaborates with scholars based in India, United States and Antigua and Barbuda. Deepa Krishnan's co-authors include Payal Soni, Madhumita Chatterjee, Suliman A. Alsuhibany, Priyanka Verma, Aayush R. Singh, Vinayakumar Ravi and Aditya Nair and has published in prestigious journals such as Multimedia Tools and Applications, Arabian Journal for Science and Engineering and Egyptian Informatics Journal.

In The Last Decade

Deepa Krishnan

14 papers receiving 245 citations

Author Peers

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

Author						Papers	Cites
Deepa Krishnan	87	48	39	37	35	18	263
Jesús Bermúdez	24 0.3×	15 0.3×	5 0.1×	10 0.3×	83 2.4×	27	320
Simon McBride	25 0.3×	10 0.2×	23 0.6×	6 0.2×	66 1.9×	21	326
Marc E. Gessaroli	51 0.6×	85 1.8×	17 0.4×	21 0.6×	9 0.3×	12	320
Nathalia Céspedes	36 0.4×	4 0.1×	8 0.2×	6 0.2×	112 3.2×	14	305
Opeyemi Lateef Usman	128 1.5×	7 0.1×		22 0.6×	70 2.0×	16	301
Jean‐Christophe Goulet‐Pelletier	42 0.5×	13 0.3×	6 0.2×	24 0.6×	19 0.5×	13	259
Giuseppe Caggianese	37 0.4×	7 0.1×	3 0.1×	10 0.3×	43 1.2×	25	301
Adel Ardalan	43 0.5×	210 4.4×	5 0.1×	17 0.5×	200 5.7×	17	330
Henrique Damasceno Vianna	23 0.3×	11 0.2×	3 0.1×	24 0.6×	30 0.9×	20	328
Paul Cooper	32 0.4×	10 0.2×	2 0.1×	53 1.4×	98 2.8×	17	283

Countries citing papers authored by Deepa Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Deepa Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Krishnan. A scholar is included among the top collaborators of Deepa Krishnan 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 Deepa Krishnan. Deepa Krishnan 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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