Ankush Singla

28 papers receiving 498 citations

Peers

Ankush Singla
Comparison fields: 5 of 97
  • Computer Networks and Communications 235
  • Health Information Management 29
  • Artificial Intelligence 197
  • Signal Processing 65
  • Health Informatics 8
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Zhenfei Wang China
M. Jamal Deen Canada
J. Dinesh Peter India
Smita Sharma India
Ashish Sharma India
S. Phani Praveen India
Javad Hassannataj Joloudari Iran
Abdullah Aljumah Saudi Arabia
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Citations per year

Countries citing papers authored by Ankush Singla

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Singla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankush Singla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ankush Singla Line = papers co-authored together Ankush Singla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 201852
3 202045
4 201942
5 201941
6 201932
7 201930
8 202128
9 201827
10 201725
11 201923
12 202116
13 201516
14 202013
15 202012
16 20199
17 20196
18 20226
19
Foreign Direct Investment in India
20123
20 20173

About Ankush Singla

Ankush Singla is a scholar working on Computer Networks and Communications, Health Information Management, Artificial Intelligence, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 519 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Network Security and Intrusion Detection (5 papers), Advanced Authentication Protocols Security (4 papers), Anomaly Detection Techniques and Applications (4 papers), Cryptographic Implementations and Security (4 papers), Advanced Malware Detection Techniques (3 papers), Airway Management and Intubation Techniques (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Computer Networks and Communications (235 citations), Health Information Management (29 citations), Artificial Intelligence (197 citations), Signal Processing (65 citations) and Health Informatics (8 citations). Ankush Singla has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Elisa Bertino, Dinesh Verma, Rajiv Singla, Mohammad R. Jahanshahi, Syed Rafiul Hussain, Yashdeep Gupta, Sanjay Kalra, Attila A. Yavuz, Rih‐Teng Wu and Omar Chowdhury. Their work appears in journals such as American Journal of Therapeutics, IEEE Security & Privacy, IEEE Transactions on Information Forensics and Security, Computer-Aided Civil and Infrastructure Engineering and Annals of Cardiac Anaesthesia.

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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