Avishek Anand
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Co-authors
- Jaspreet SinghMegha KhoslaSrikanta BedathurGerhard WeikumVinay SettyStephan SeufertUjwal GadirajuNattiya Kanhabua
- Topics
- Topic Modeling (31 papers)Explainable Artificial Intelligence (XAI) (14 papers)Web Data Mining and Analysis (13 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Information SystemsAlgorithmica
- Partner nations
- GermanyNetherlandsIndia
In The Last Decade
Avishek Anand
57 papers receiving 638 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 482
- Information Systems 163
- Computer Vision and Pattern Recognition 114
- Computer Networks and Communications 83
- Signal Processing 74
Countries citing papers authored by Avishek Anand
This map shows the geographic impact of Avishek Anand'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 Avishek Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avishek Anand more than expected).
Fields of papers citing papers by Avishek Anand
This network shows the impact of papers produced by Avishek Anand. 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 Avishek Anand. The network helps show where Avishek Anand may publish in the future.
Co-authorship network of co-authors of Avishek Anand
This figure shows the co-authorship network connecting the top 25 collaborators of Avishek Anand. A scholar is included among the top collaborators of Avishek Anand 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 Avishek Anand. Avishek Anand 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 21 | |
| 15 | 35 | |
| 16 | 5 | |
| 17 | A Comprehensive Comparison of Unsupervised Network Representation Learning Methods. | 6 |
| 18 | 50 | |
| 19 | Effects of Algorithmic Decision-Making and Interpretability on Human Behavior: Experiments using Crowdsourcing. | 2 |
| 20 | 11 |
About Avishek Anand
Avishek Anand is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 68 papers that have together received 651 indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Explainable Artificial Intelligence (XAI) (14 papers) and Web Data Mining and Analysis (13 papers). The work is most often cited by research in Artificial Intelligence (482 citations), Health Informatics (15 citations) and Information Systems (163 citations). Avishek Anand has collaborated with scholars based in Germany, Netherlands and India. Frequent co-authors include Jaspreet Singh, Megha Khosla, Srikanta Bedathur, Gerhard Weikum, Vinay Setty, Stephan Seufert, Ujwal Gadiraju, Nattiya Kanhabua, Rishiraj Saha Roy and Benno Stein. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Algorithmica.
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.