Naveen Srinivasan

36 papers receiving 1.0k citations

Peers

Naveen Srinivasan
Comparison fields: 5 of 57
  • Information Systems 857
  • Artificial Intelligence 688
  • Computer Networks and Communications 351
  • Management Information Systems 271
  • General Economics, Econometrics and Finance 186
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Citations per field
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Citations per year

Countries citing papers authored by Naveen Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Naveen Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naveen Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Naveen Srinivasan. A scholar is included among the top collaborators of Naveen Srinivasan 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 Naveen Srinivasan. Naveen Srinivasan 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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INFLATION FORECASTING AND THE DISTRIBUTION OF PRICE CHANGES
1
3
VOLATILITY SPILLOVER BETWEEN OIL AND STOCK MARKET RETURNS
2
4
Inflation Persistence: Does Credibility of the Monetary Regime Matter?
3
5 3
6 5
7
Can the facts of UK inflation persistence be explained by \nnominal rigidity?
12
8
Determinacy in New Keynesian models: a role for money after \nall?
4
9 3
10
UK Inflation Persistence: Policy or Nature?
5
11 6
12 13
13 39
14 0
15
Adding OWL-S to UDDI, implementation and throughput
96
16
How different are money supply rules from Taylor rules
2
17
Using DAML-S for P2P Discovery.
63
18
Towards a Semantic Choreography of Web Services: From WSDL to DAML-S.
61
19
Toward a Semantic Web e-commerce
11
20
The Observational Equivalence of Taylor Rule and Taylor-Type Rules
4

About Naveen Srinivasan

Naveen Srinivasan is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (24 papers), Economic Theory and Policy (13 papers) and Economic theories and models (10 papers). The work is most often cited by research in Information Systems (857 citations), Management Information Systems (271 citations) and General Economics, Econometrics and Finance (186 citations). Naveen Srinivasan has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Massimo Paolucci, Katia Sycara, Anupriya Ankolekar, Katia P. Sycara, M. Ramachandran, Sheila A. McIlraith, David Martín, Mark Burstein, Drew McDermott and Deborah L. McGuinness. Their work appears in journals such as Economics Letters, Economic Modelling and Oxford Economic Papers.

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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