Ashish Gehani
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems and Management top 2%
- Co-authors
- John H. ReifVinod YegneswaranThomas H. LaBeanFareed ZaffarEunjin JungGabriela CiocarlieTanu MalikDongyan Xu
- Topics
- Scientific Computing and Data Management (27 papers)Advanced Data Storage Technologies (18 papers)Distributed and Parallel Computing Systems (15 papers)
- Partner nations
- United StatesPakistanFrance
In The Last Decade
Ashish Gehani
63 papers receiving 756 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 427
- Information Systems 329
- Artificial Intelligence 251
- Signal Processing 238
- Information Systems and Management 166
Countries citing papers authored by Ashish Gehani
This map shows the geographic impact of Ashish Gehani'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 Ashish Gehani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Gehani more than expected).
Fields of papers citing papers by Ashish Gehani
This network shows the impact of papers produced by Ashish Gehani. 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 Ashish Gehani. The network helps show where Ashish Gehani may publish in the future.
Co-authorship network of co-authors of Ashish Gehani
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Gehani. A scholar is included among the top collaborators of Ashish Gehani 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 Ashish Gehani. Ashish Gehani 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 | 1 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 60 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 2017 Workshop on Theory and Practice of Provenance (TaPP 2017) | 8 |
| 13 | Provenance-Only Integration | 1 |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | Support for automated passive host-based intrusion response | 4 |
| 19 | 65 | |
| 20 | 22 |
About Ashish Gehani
Ashish Gehani is a scholar working on Information Systems and Management, Computer Networks and Communications and Signal Processing, having authored 70 papers that have together received 804 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (27 papers), Advanced Data Storage Technologies (18 papers) and Distributed and Parallel Computing Systems (15 papers). The work is most often cited by research in Information Systems and Management (166 citations), Signal Processing (238 citations) and Computer Networks and Communications (427 citations). Ashish Gehani has collaborated with scholars based in United States, Pakistan and France. Frequent co-authors include John H. Reif, Vinod Yegneswaran, Thomas H. LaBean, Fareed Zaffar, Eunjin Jung, Gabriela Ciocarlie, Tanu Malik, Dongyan Xu, Minyoung Kim and Muhammad Abubakar. Their work appears in journals such as Communications of the ACM, IEEE Access and IEEE Transactions on Software 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.