Dakshi Agrawal
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Hardware and Architecture top 1%
- Information Systems top 2%
- Co-authors
- Charų C. AggarwalSelçuk BaktırBerk SunarPankaj RohatgiDeniz KarakoyunluVahid TarokhA.F. NaguibN. Seshadri
- Topics
- Peer-to-Peer Network Technologies (9 papers)Network Security and Intrusion Detection (9 papers)Access Control and Trust (8 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Communications MagazineIEEE Transactions on Communications
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dakshi Agrawal
43 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Electrical and Electronic Engineering 1.2k
- Artificial Intelligence 1.1k
- Computer Networks and Communications 979
- Hardware and Architecture 665
- Information Systems 319
Countries citing papers authored by Dakshi Agrawal
This map shows the geographic impact of Dakshi Agrawal'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 Dakshi Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dakshi Agrawal more than expected).
Fields of papers citing papers by Dakshi Agrawal
This network shows the impact of papers produced by Dakshi Agrawal. 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 Dakshi Agrawal. The network helps show where Dakshi Agrawal may publish in the future.
Co-authorship network of co-authors of Dakshi Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Dakshi Agrawal. A scholar is included among the top collaborators of Dakshi Agrawal 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 Dakshi Agrawal. Dakshi Agrawal 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 | 3 | |
| 3 | 36 | |
| 4 | 9 | |
| 5 | Tracking Dynamic Networks under Sampling Constraints: Supporting Materials | 1 |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | Trust in Electronic Markets - Customers' Perspective. | 2 |
| 10 | 18 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 75 | |
| 14 | 15 | |
| 15 | 37 | |
| 16 | 29 | |
| 17 | 80 | |
| 18 | 0 | |
| 19 | Transaction management in OOMDBS | 1 |
| 20 | Transaction management in database systems | 3 |
About Dakshi Agrawal
Dakshi Agrawal is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 47 papers that have together received 2.5k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (9 papers), Network Security and Intrusion Detection (9 papers) and Access Control and Trust (8 papers). The work is most often cited by research in Hardware and Architecture (665 citations), Computer Networks and Communications (979 citations) and Artificial Intelligence (1.1k citations). Dakshi Agrawal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Charų C. Aggarwal, Selçuk Baktır, Berk Sunar, Pankaj Rohatgi, Deniz Karakoyunlu, Vahid Tarokh, A.F. Naguib, N. Seshadri, Kang‐Won Lee and Alexander Vardy. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Communications Magazine and IEEE Transactions on Communications.
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.