Ankush Khandelwal
About
In The Last Decade
Ankush Khandelwal
40 papers receiving 622 citations
Peers
Comparison fields: 5 of 75
- Global and Planetary Change 372
- Water Science and Technology 248
- Ecology 212
- Environmental Engineering 153
- Artificial Intelligence 92
Countries citing papers authored by Ankush Khandelwal
This map shows the geographic impact of Ankush Khandelwal'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 Ankush Khandelwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankush Khandelwal more than expected).
Fields of papers citing papers by Ankush Khandelwal
This network shows the impact of papers produced by Ankush Khandelwal. 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 Ankush Khandelwal. The network helps show where Ankush Khandelwal may publish in the future.
Co-authorship network of co-authors of Ankush Khandelwal
This figure shows the co-authorship network connecting the top 25 collaborators of Ankush Khandelwal. A scholar is included among the top collaborators of Ankush Khandelwal 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 Ankush Khandelwal. Ankush Khandelwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 54 | |
| 4 | Introducing the Self-Cleaning FiLtrAtion for Water quaLity SenSors (SC-FLAWLeSS) system. | 1 |
| 5 | 2 | |
| 6 | GLADD-R: A new Global Lake Dynamics Database for Reservoirs created using machine learning and satellite data | 1 |
| 7 | Integrating Models Through Knowledge-Powered Data and Process Composition | 1 |
| 8 | MINT: Model INTegration Through Knowledge-Powered Data and Process Composition | 7 |
| 9 | Classification Of Spanish Election Tweets (COSET) 2017 : Classifying Tweets Using Character and Word Level Features. | 4 |
| 10 | 147 | |
| 11 | 112 | |
| 12 | 1 | |
| 13 | An approach for global monitoring of surface water extent variations using MODIS data | 1 |
| 14 | Automated Plantation Mapping in Southeast Asia Using Remote Sensing Data | 4 |
| 15 | Clustering dynamic spatio-temporal patterns in the presence of noise and missing data | 5 |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | Supplement for "Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping" | 1 |
| 20 | Hyperspectral image enhancement based on sensor simulation and vector decomposition | 2 |
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.