Vikash Kumar

1.1k total citations
23 papers, 436 citations indexed

About

Vikash Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Vikash Kumar has authored 23 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 6 papers in Signal Processing. Recurrent topics in Vikash Kumar's work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (5 papers). Vikash Kumar is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Advanced Malware Detection Techniques (5 papers). Vikash Kumar collaborates with scholars based in India, United States and Sweden. Vikash Kumar's co-authors include Ditipriya Sinha, Ayan Kumar Das, Radha Tamal Goswami, Subhash C. Pandey, Balakumar Sundaralingam, Danica Kragić, Kaiyu Hang, Tucker Hermans, Vittorio Caggiano and Aravind Rajeswaran and has published in prestigious journals such as IEEE Access, The International Journal of Robotics Research and Computers & Security.

In The Last Decade

Vikash Kumar

20 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vikash Kumar India	8	337	256	215	65	57	23	436
Geethapriya Thamilarasu United States	12	508 1.5×	250 1.0×	219 1.0×	60 0.9×	104 1.8×	28	623
Chunhua Wu China	5	312 0.9×	265 1.0×	179 0.8×	33 0.5×	51 0.9×	11	381
Muhammad Zeeshan Pakistan	11	425 1.3×	222 0.9×	181 0.8×	50 0.8×	38 0.7×	44	524
Syed Ghazanfar Abbas Pakistan	10	408 1.2×	254 1.0×	247 1.1×	73 1.1×	119 2.1×	13	493
Yazan Otoum Canada	10	401 1.2×	297 1.2×	227 1.1×	46 0.7×	67 1.2×	17	488
Pratik Satam United States	9	248 0.7×	188 0.7×	117 0.5×	41 0.6×	84 1.5×	38	393
Syeda Manjia Tahsien Canada	3	234 0.7×	125 0.5×	113 0.5×	29 0.4×	84 1.5×	6	311
Zouhair Chiba Morocco	9	315 0.9×	238 0.9×	187 0.9×	28 0.4×	78 1.4×	26	382
S. Muthurajkumar India	10	325 1.0×	254 1.0×	104 0.5×	23 0.4×	121 2.1×	26	469
Zina Chkirbene Qatar	12	342 1.0×	194 0.8×	109 0.5×	25 0.4×	86 1.5×	34	427

Countries citing papers authored by Vikash Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Vikash Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikash Kumar

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

All Works

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20 of 20 papers shown

Sardar, Tanvir Habib, et al.. (2025). Enhancing Security in MANETs with Deep Learning-Based Intrusion Detection. Procedia Computer Science. 259. 120–129.

Bharadhwaj, Homanga, et al.. (2024). Semantically controllable augmentations for generalizable robot learning. The International Journal of Robotics Research. 44(10-11). 1705–1726. 3 indexed citations

Hansen, Nicklas, et al.. (2024). MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. 7530–7537. 1 indexed citations

Kumar, Vikash, et al.. (2024). Sentiment Analysis of Speeches using VADER, Sentiment Intensity Analyzer, and TextBlob. 774–777.

S, Guru Prasad M, et al.. (2024). Dimensionality Reduction Using UMAP and TSNE Technique. 1–5. 7 indexed citations

Kumar, Vikash, et al.. (2024). Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures. IEEE Access. 12. 41464–41478. 1 indexed citations

Sinha, Ditipriya, et al.. (2023). WCGAN-GP based synthetic attack data generation with GA based feature selection for IDS. Computers & Security. 134. 103432–103432. 17 indexed citations

Caggiano, Vittorio, et al.. (2023). SAR: Generalization of Physiological Dexterity via Synergistic Action Representation. 4 indexed citations

Ke, Liyiming, et al.. (2023). Real World Offline Reinforcement Learning with Realistic Data Source. 7176–7183. 4 indexed citations

10.

Harakannanavar, Sunil S., et al.. (2022). Robust video summarization algorithm using supervised machine learning. 3(1). 131–135. 6 indexed citations

11.

Nithya, B., et al.. (2022). Analysis on Role of Quantum Computing in Machine Learning. 1–8. 2 indexed citations

12.

Kumar, Vikash & Ditipriya Sinha. (2022). Hybrid Approach Using Deep Autoencoder and Machine Learning Techniques for Cyber-Attack Detection. International Journal of Ambient Computing and Intelligence. 13(1). 1–21. 7 indexed citations

13.

Kumar, Vikash & Ditipriya Sinha. (2022). Synthetic attack data generation model applying generative adversarial network for intrusion detection. Computers & Security. 125. 103054–103054. 56 indexed citations

14.

Kumar, Vikash & Ditipriya Sinha. (2021). A robust intelligent zero-day cyber-attack detection technique. Complex & Intelligent Systems. 7(5). 2211–2234. 45 indexed citations

15.

Sundaralingam, Balakumar, et al.. (2020). Benchmarking In-Hand Manipulation. IEEE Robotics and Automation Letters. 5(2). 588–595. 34 indexed citations

16.

Kumar, Vikash, Ditipriya Sinha, Ayan Kumar Das, Subhash C. Pandey, & Radha Tamal Goswami. (2019). An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset. Cluster Computing. 23(2). 1397–1418. 160 indexed citations

17.

Kumar, Vikash, Ayan Kumar Das, & Ditipriya Sinha. (2019). UIDS: a unified intrusion detection system for IoT environment. Evolutionary Intelligence. 14(1). 47–59. 79 indexed citations

18.

Kumar, Vikash. (2018). Prevention of Black Hole Attacks in MANETs. International Journal of Engineering Trends and Technology. 61(3). 166–170. 1 indexed citations

19.

Kumar, Vikash, et al.. (2016). A Novel Encryption Scheme for Providing Security and Energy Efficiency in Mobile Ad Hoc Networks. 2(7). 1–6. 1 indexed citations

20.

Sharma, Kalpana, et al.. (2016). A Survey on Hierarchical Clustering Algorithm for Wireless Sensor Networks. International Journal of Computer Applications. 134(4). 30–35. 4 indexed citations

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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