Srinath Srinivasa

50 papers receiving 176 citations

Peers

Srinath Srinivasa
Comparison fields: 5 of 68
  • Artificial Intelligence 89
  • Information Systems 59
  • Computer Science Applications 31
  • Computer Networks and Communications 30
  • Sociology and Political Science 22
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Citations per field
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Citations per year

Countries citing papers authored by Srinath Srinivasa

Since Specialization
Citations

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

Fields of papers citing papers by Srinath Srinivasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinath Srinivasa

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 50
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8
SortingHat: a deep matching framework to match labeled concepts
0
9 1
10
A comparative study of two models for celebrity identification on twitter
5
11
On the Complexity of Multi-Query Optimization in Stream Grids
0
12
EndorSeer: An Add-on for Browsing Digital Libraries with "Endorsed" Citations
1
13
Vector-based Ranking Techniques for Identifying the Topical Anchors of a Context
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14 3
15 2
16
Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
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17 1
18
Measures of Ignorance on the Web.
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19
LWI and Safari: A New Index Structure and Query Model for Graph Databases
9
20
A Database for Storage and Fast Retrieval of Structure Data.
1

About Srinath Srinivasa

Srinath Srinivasa is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 60 papers that have together received 195 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Text Analysis Techniques (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Health Informatics (10 citations), Computer Science Applications (31 citations) and Artificial Intelligence (89 citations). Srinath Srinivasa has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Vasudha Bhatnagar, Sunil Thulasidasan, Dina Goldin, Martin E. Maier, Anupama Sharma, Wendy Hall, Myra Spiliopoulou, Venkat Venkatasubramanian, Saikat Mukherjee and Thanassis Tiropanis. Their work appears in journals such as Lecture notes in computer science, Data & Knowledge Engineering and Journal of Information Science.

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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