Ankush Singla

823 citations
32 papers · 602 · h-index 14

Impact in

Papers in

    • Network Security and Intrusion Detection 5
    • Advanced Authentication Protocols Security 4
    • Software-Defined Networks and 5G 2
    • Cryptography and Data Security 6
    • Anomaly Detection Techniques and Applications 4
    • Cryptographic Implementations and Security 4
    • Adversarial Robustness in Machine Learning 2

Ankush Singla

29 papers receiving 578 citations

Peers

Ankush Singla
Comparison fields: 5 of 98
  • Computer Networks and Communications 268
  • Artificial Intelligence 219
  • Signal Processing 72
  • Health Information Management 26
  • Information Systems 136
Replace S. K. Srivatsa with:
S. K. Srivatsa India
Ali Alqahtani Saudi Arabia
Zhenfei Wang China
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Citations per field
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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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201863
3 202053
4 201947
5 201944
6 201940
7 201836
8 201935
9 202131
10 201730
11 201929
12 202120
13 201518
14 202014
15 202014
16 20198
17 20196
18 20226
19 20175
20 20224

About Ankush Singla

Ankush Singla is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Anesthesiology and Pain Medicine and Information Systems, having authored 32 papers that have together received 602 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 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), Software-Defined Networks and 5G (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Networks and Communications (268 citations), Artificial Intelligence (219 citations), Signal Processing (72 citations), Health Information Management (26 citations) and Information Systems (136 citations). Ankush Singla has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Elisa Bertino, Dinesh Chandra Verma, Rajiv Singla, Mohammad R. Jahanshahi, Yashdeep Gupta, Syed Rafiul Hussain, Sanjay Kalra, Attila Altay Yavuz, Rih‐Teng Wu and Omar Chowdhury. Their work appears in journals such as Computer-Aided Civil and Infrastructure Engineering, American Journal of Therapeutics, IEEE Security & Privacy, IEEE Transactions on Information Forensics and Security and Indian Journal of Critical Care Medicine.

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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