Gulshan Kumar

3.0k citations
45 papers · 1.9k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Gulshan Kumar

44 papers receiving 1.8k citations

Hit Papers

A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning 2019 · 794 citations
7942019202620212023250500750

Peers

Gulshan Kumar
Comparison fields: 5 of 162
  • Signal Processing 460
  • Computer Networks and Communications 727
  • Artificial Intelligence 846
  • Health Informatics 28
  • Computer Vision and Pattern Recognition 295
Replace Qasem Abu Al‐Haija with:
Qasem Abu Al‐Haija Jordan
Shi Dong China
Lovekesh Vig India
Mohamed Hadi Habaebi Malaysia
Abdelghani Dahou Algeria
Chang Choi South Korea
Jian Wang China
Deepak S. Turaga United States
H. S. Behera India
Gurjot Singh Gaba India
Gulshan Kumar relative to Qasem Abu Al‐Haija Jordan Qasem Abu Al‐Haija's profile →
Citations per field
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Qasem Abu Al‐Haija · 1×
Citations per year

Countries citing papers authored by Gulshan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Gulshan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Gulshan Kumar, 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 Gulshan Kumar Line = papers co-authored together Gulshan Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202412
2 20249
3 20241
4 20240
5 20249
6 202412
7 202361
8 20221
9 202220
10 20216
11 20219
12 202110
13 202014
14 202041
15 2019233
16 201832
17 201620
18
A comparative study of Feature Selection techniques for Intrusion Detection
20156
19 201338
20 201098

About Gulshan Kumar

Gulshan Kumar is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Automotive Engineering and Information Systems, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (30 papers), Advanced Malware Detection Techniques (23 papers), Anomaly Detection Techniques and Applications (19 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Autonomous Vehicle Technology and Safety (3 papers), Spam and Phishing Detection (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (460 citations), Computer Networks and Communications (727 citations), Artificial Intelligence (846 citations), Health Informatics (28 citations) and Computer Vision and Pattern Recognition (295 citations). Gulshan Kumar has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Maruthi Rohit Ayyagari, Munish Kumar, Shaveta Dargan, Hamed Alqahtani, Krishan Kumar, Manolya Kavakli, Kutub Thakur, Monika Sachdeva, Ahmad Almadhor and Subhash Chander. Their work appears in journals such as Archives of Computational Methods in Engineering, Engineering Applications of Artificial Intelligence, Systems Science & Control Engineering, Soft Computing and Computers & Electrical Engineering.

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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