Dharmesh Dhabliya
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Ankur GuptaN. SenthilkumarT. SathishV. VijayanKishan Bhushan SahayD. Vijendra BabuTraian Candin MihălţanS. B. Goyal
- Topics
- Network Security and Intrusion Detection (13 papers)IoT and Edge/Fog Computing (10 papers)Anomaly Detection Techniques and Applications (10 papers)
- Partner nations
- IndiaIraqUnited States
In The Last Decade
Dharmesh Dhabliya
77 papers receiving 460 citations
Peers
Comparison fields: 5 of 109
- Electrical and Electronic Engineering 132
- Computer Networks and Communications 122
- Artificial Intelligence 114
- Information Systems 87
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Dharmesh Dhabliya
This map shows the geographic impact of Dharmesh Dhabliya'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 Dharmesh Dhabliya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharmesh Dhabliya more than expected).
Fields of papers citing papers by Dharmesh Dhabliya
This network shows the impact of papers produced by Dharmesh Dhabliya. 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 Dharmesh Dhabliya. The network helps show where Dharmesh Dhabliya may publish in the future.
Co-authorship network of co-authors of Dharmesh Dhabliya
This figure shows the co-authorship network connecting the top 25 collaborators of Dharmesh Dhabliya. A scholar is included among the top collaborators of Dharmesh Dhabliya 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 Dharmesh Dhabliya. Dharmesh Dhabliya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 14 | |
| 18 | 30 | |
| 19 | 7 | |
| 20 | 22 |
About Dharmesh Dhabliya
Dharmesh Dhabliya is a scholar working on Computer Networks and Communications, Health Informatics and Information Systems, having authored 105 papers that have together received 548 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), IoT and Edge/Fog Computing (10 papers) and Anomaly Detection Techniques and Applications (10 papers). The work is most often cited by research in Computer Networks and Communications (122 citations), Information Systems (87 citations) and Artificial Intelligence (114 citations). Dharmesh Dhabliya has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include Ankur Gupta, N. Senthilkumar, T. Sathish, V. Vijayan, Kishan Bhushan Sahay, D. Vijendra Babu, Traian Candin Mihălţan, S. B. Goyal, Maria Simona Raboacă and Pravin R. Kshirsagar. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Energies.
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.