Anand Kulkarni
- Computer Science Applications top 0.2%
- Nutrition and Dietetics top 2%
- Plant Science top 5%
- Biochemistry top 2%
- Artificial Intelligence top 5%
- Co-authors
- Björn HartmannS. M. AradhyaSteven P. DowScott KlemmerS. DivakarH. S. MahalSudhir KapoorBjoern Hartmann
- Topics
- Mobile Crowdsensing and Crowdsourcing (16 papers)Data Stream Mining Techniques (8 papers)Auction Theory and Applications (5 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Anand Kulkarni
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 115
- Computer Science Applications 705
- Nutrition and Dietetics 426
- Plant Science 391
- Biochemistry 298
- Artificial Intelligence 262
Countries citing papers authored by Anand Kulkarni
This map shows the geographic impact of Anand 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 Anand Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Kulkarni more than expected).
Fields of papers citing papers by Anand Kulkarni
This network shows the impact of papers produced by Anand 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 Anand Kulkarni. The network helps show where Anand Kulkarni may publish in the future.
Co-authorship network of co-authors of Anand Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Anand Kulkarni. A scholar is included among the top collaborators of Anand Kulkarni 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 Anand Kulkarni. Anand Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 8 | |
| 3 | 103 | |
| 4 | 15 | |
| 5 | MobileWorks: Designing for Quality in a Managed Crowdsourcing Architecture (Extended Abstract). | 1 |
| 6 | 236 | |
| 7 | Chorus: Letting the Crowd Speak with One Voice | 4 |
| 8 | 55 | |
| 9 | 3 | |
| 10 | 192 | |
| 11 | Turkomatic: automatic, recursive task and workflow design for mechanical turk | 44 |
| 12 | MobileWorks: a mobile crowdsourcing platform for workers at the bottom of the pyramid | 53 |
| 13 | The Complexity of Crowdsourcing: Theoretical Problems in Human Computation | 9 |
| 14 | 46 | |
| 15 | 4 | |
| 16 | 127 | |
| 17 | 310 | |
| 18 | 182 | |
| 19 | Isolation and identification of a radical scavenging antioxidant – punicalagin from pith and carpellary membrane of pomegranate fruit | 9 |
| 20 | 1 |
About Anand Kulkarni
Anand Kulkarni is a scholar working on Computer Science Applications, Biochemistry and Information Systems and Management, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (16 papers), Data Stream Mining Techniques (8 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Computer Science Applications (705 citations), Biochemistry (298 citations) and Nutrition and Dietetics (426 citations). Anand Kulkarni has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Björn Hartmann, S. M. Aradhya, Steven P. Dow, Scott Klemmer, S. Divakar, H. S. Mahal, Sudhir Kapoor, Bjoern Hartmann, Jeffrey P. Bigham and Walter S. Lasecki. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and IEEE Internet Computing.
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.