Neelima Gupta
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Molecular Biology
- Computational Theory and Mathematics
- Co-authors
- Seema AggarwalB. AsadySandeep SenSandhya AnejaRahul JohariNagender AnejaNeeraj SharmaVasudha Bhatnagar
- Topics
- Mobile Ad Hoc Networks (12 papers)Opportunistic and Delay-Tolerant Networks (12 papers)Complexity and Algorithms in Graphs (8 papers)
- Cited by
- Neuropsychology and Physiological PsychologyComputer Graphics and Computer-Aided DesignComputer Networks and Communications
- Partner nations
- IndiaUnited StatesIran
In The Last Decade
Neelima Gupta
33 papers receiving 236 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 103
- Artificial Intelligence 57
- Electrical and Electronic Engineering 52
- Molecular Biology 32
- Computational Theory and Mathematics 32
Countries citing papers authored by Neelima Gupta
This map shows the geographic impact of Neelima Gupta'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 Neelima Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neelima Gupta more than expected).
Fields of papers citing papers by Neelima Gupta
This network shows the impact of papers produced by Neelima Gupta. 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 Neelima Gupta. The network helps show where Neelima Gupta may publish in the future.
Co-authorship network of co-authors of Neelima Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Neelima Gupta. A scholar is included among the top collaborators of Neelima Gupta 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 Neelima Gupta. Neelima Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Reliable Distance Vector routing protocol to handle Blackhole and Selfish (RDVBS) nodes in Ad hoc Networks | 0 |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | SISA: SEEDED ITERATIVE SIGNATURE ALGORITHM FOR BICLUSTERING GENE EXPRESSION DATA | 1 |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 22 | |
| 16 | 8 | |
| 17 | 0 | |
| 18 | Distribution-sensitive algorithms | 5 |
| 19 | 4 | |
| 20 | 2 |
About Neelima Gupta
Neelima Gupta is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Neuropsychology and Physiological Psychology, having authored 38 papers that have together received 268 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (12 papers), Opportunistic and Delay-Tolerant Networks (12 papers) and Complexity and Algorithms in Graphs (8 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (9 citations), Computer Graphics and Computer-Aided Design (19 citations) and Computer Networks and Communications (103 citations). Neelima Gupta has collaborated with scholars based in India, United States and Iran. Frequent co-authors include Seema Aggarwal, B. Asady, Sandeep Sen, Sandhya Aneja, Rahul Johari, Nagender Aneja, Neeraj Sharma, Vasudha Bhatnagar, Geeta Aggarwal and Preeti Nagrath. Their work appears in journals such as Pattern Recognition, Applied Soft Computing and Mathematical Programming.
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.