Danish Pruthi

633 citations
12 papers · 231 indexed · h-index 6
Topics
Topic Modeling (4 papers)Adversarial Robustness in Machine Learning (4 papers)Explainable Artificial Intelligence (XAI) (2 papers)
Journals
Transactions of the Association for Computational LinguisticsProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Danish Pruthi

9 papers receiving 224 citations

Peers

Danish Pruthi
Comparison fields: 5 of 36
  • Artificial Intelligence 214
  • Signal Processing 43
  • Computer Vision and Pattern Recognition 29
  • Information Systems 17
  • Sociology and Political Science 16
Replace Sumanth Doddapaneni with:
Sumanth Doddapaneni India
Jiehang Zeng China
Giovanni Cherubin United Kingdom
Gözde Gül Şahin Türkiye
Adrià Giménez Spain
Saeed Mahloujifar United States
Phillip Rieger Germany
Jason Riesa United States
Binxing Jiao China
Ilia Kulikov United States
Danish Pruthi relative to Sumanth Doddapaneni India Sumanth Doddapaneni's profile →
Citations per field
00.5×10×20×33×
Sumanth Doddapaneni · 1×
Citations per year

Countries citing papers authored by Danish Pruthi

Since Specialization
Citations

This map shows the geographic impact of Danish Pruthi'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 Danish Pruthi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danish Pruthi more than expected).

Fields of papers citing papers by Danish Pruthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danish Pruthi. 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 Danish Pruthi. The network helps show where Danish Pruthi may publish in the future.

Co-authorship network of co-authors of Danish Pruthi

This figure shows the co-authorship network connecting the top 25 collaborators of Danish Pruthi. A scholar is included among the top collaborators of Danish Pruthi 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 Danish Pruthi. Danish Pruthi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 0
6 5
7 8
8 11
9 24
10 13
11 164
12 4

About Danish Pruthi

Danish Pruthi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (214 citations), Signal Processing (43 citations) and Health Informatics (2 citations). Danish Pruthi has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Zachary C. Lipton, Bhuwan Dhingra, Graham Neubig, William W. Cohen, R. Venkatesh Babu, Livio Baldini Soares, Michael J. Collins, André F. T. Martins, Siddhant Arora and Patrick Fernandes. Their work appears in journals such as Transactions of the Association for Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.

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.

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