Krishna Kulkarni

658 citations
20 papers · 321 · h-index 8

Impact in

Papers in

Krishna Kulkarni

20 papers receiving 277 citations

Peers

Krishna Kulkarni
Comparison fields: 5 of 50
  • Signal Processing 153
  • Computer Networks and Communications 252
  • Information Systems and Management 26
  • Information Systems 83
  • Artificial Intelligence 113
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Citations per year

Countries citing papers authored by Krishna Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Krishna Kulkarni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Krishna Kulkarni Line = papers co-authored together Krishna Kulkarni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199491
2 201291
3 200452
4 200114
5 200213
6 199411
7 20189
8 20109
9 19876
10 20216
11 19934
12 20093
13
The TSQL2 Language Specification
19943
14
ADT-based Type System for SQL.
19912
15 19942
16 20211
17 20141
18 19941
19 20111
20
Automatic Recognition, Identifying Speaker Emotion and Speaker Age Classification using Voice Signal
20191

About Krishna Kulkarni

Krishna Kulkarni is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 20 papers that have together received 321 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (4 papers), Distributed and Parallel Computing Systems (3 papers), Constraint Satisfaction and Optimization (2 papers), Semantic Web and Ontologies (2 papers), Advanced Computational Techniques and Applications (2 papers), VLSI and Analog Circuit Testing (1 paper) and Mechanical Engineering and Vibrations Research (1 paper). The work is most often cited by research in Signal Processing (153 citations), Computer Networks and Communications (252 citations), Information Systems and Management (26 citations), Information Systems (83 citations) and Artificial Intelligence (113 citations). Krishna Kulkarni has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Jim Melton, Andrew Eisenberg, James Clifford, Curtis Dyreson, Michael D. Soo, John F. Roddick, Christian S. Jensen, Vanja Josifovski, Nikos A. Lorentzos and Don Batory. Their work appears in journals such as ACM SIGMOD Record, Computer Standards & Interfaces, Software Practice and Experience, Journal of Planar Chromatography – Modern TLC and SAE International Journal of Advances and Current Practices in Mobility.

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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