Harish Karnick
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Information Systems
- Co-authors
- Purushottam KarVivek GuptaBhiksha RajSumeet AgarwalPabitra MitraBhargavi ParanjapeUrvesh D. PatelBharath K. Sriperumbudur
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Advanced Text Analysis Techniques (4 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Harish Karnick
26 papers receiving 321 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 167
- Computer Vision and Pattern Recognition 136
- Signal Processing 75
- Cognitive Neuroscience 60
- Information Systems 39
Countries citing papers authored by Harish Karnick
This map shows the geographic impact of Harish Karnick'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 Harish Karnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harish Karnick more than expected).
Fields of papers citing papers by Harish Karnick
This network shows the impact of papers produced by Harish Karnick. 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 Harish Karnick. The network helps show where Harish Karnick may publish in the future.
Co-authorship network of co-authors of Harish Karnick
This figure shows the co-authorship network connecting the top 25 collaborators of Harish Karnick. A scholar is included among the top collaborators of Harish Karnick 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 Harish Karnick. Harish Karnick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 10 | |
| 3 | 31 | |
| 4 | 2 | |
| 5 | Text classification with sparse composite document vectors. | 1 |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 28 | |
| 9 | 33 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | Random Feature Maps for Dot Product Kernels | 48 |
| 14 | sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching | 4 |
| 15 | 47 | |
| 16 | Kernel-based online machine learning and support vector reduction. | 2 |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About Harish Karnick
Harish Karnick is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology, having authored 27 papers that have together received 344 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Signal Processing (75 citations), Computer Vision and Pattern Recognition (136 citations) and Artificial Intelligence (167 citations). Harish Karnick has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Purushottam Kar, Vivek Gupta, Bhiksha Raj, Sumeet Agarwal, Pabitra Mitra, Bhargavi Paranjape, Urvesh D. Patel, Bharath K. Sriperumbudur, Prateek Jain and Prateek Jain. Their work appears in journals such as Neurocomputing, Theoretical Computer Science and Multimedia Tools and Applications.
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.