Padmanabhan Krishnan

126 total papers · 677 total citations
68 papers, 311 citations indexed

About

Padmanabhan Krishnan is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Padmanabhan Krishnan has authored 68 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 25 papers in Software and 20 papers in Artificial Intelligence. Recurrent topics in Padmanabhan Krishnan's work include Software Testing and Debugging Techniques (18 papers), Formal Methods in Verification (16 papers) and Advanced Malware Detection Techniques (16 papers). Padmanabhan Krishnan is often cited by papers focused on Software Testing and Debugging Techniques (18 papers), Formal Methods in Verification (16 papers) and Advanced Malware Detection Techniques (16 papers). Padmanabhan Krishnan collaborates with scholars based in Australia, New Zealand and United States. Padmanabhan Krishnan's co-authors include Bernhard Scholz, Richard A. Volz, Trevor Mudge, Yi Lu, Nicholas Allen, Cristina Cifuentes, R. Venkatesh, Aditya Agrawal, Charles Lynn and John K. Zao and has published in prestigious journals such as IEEE Transactions on Software Engineering, Reliability Engineering & System Safety and Government Information Quarterly.

In The Last Decade

Padmanabhan Krishnan

58 papers receiving 275 citations

Author Peers

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

Author Last Decade Papers Cites
Padmanabhan Krishnan 140 127 106 92 74 68 311
Pietro Ferrara 183 1.3× 74 0.6× 104 1.0× 149 1.6× 169 2.3× 50 334
Mohamad Jaber 97 0.7× 56 0.4× 109 1.0× 180 2.0× 43 0.6× 28 326
Jeffery von Ronne 138 1.0× 208 1.6× 116 1.1× 95 1.0× 21 0.3× 29 319
Shuhao Li 129 0.9× 90 0.7× 131 1.2× 118 1.3× 68 0.9× 40 305
Marc Frappier 127 0.9× 106 0.8× 119 1.1× 204 2.2× 48 0.6× 47 324
Perry Alexander 112 0.8× 80 0.6× 78 0.7× 151 1.6× 16 0.2× 57 260
Carlo Bellettini 135 1.0× 57 0.4× 62 0.6× 102 1.1× 38 0.5× 39 306
João Pascoal Faria 170 1.2× 170 1.3× 157 1.5× 79 0.9× 34 0.5× 58 361
Nadia Tawbi 112 0.8× 40 0.3× 158 1.5× 150 1.6× 139 1.9× 33 274
Ira R. Forman 177 1.3× 80 0.6× 108 1.0× 179 1.9× 20 0.3× 27 308

Countries citing papers authored by Padmanabhan Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Padmanabhan Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmanabhan Krishnan

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