Rajdeep K. Dash

21 papers receiving 497 citations

Peers

Rajdeep K. Dash
Comparison fields: 5 of 60
  • Management Science and Operations Research 316
  • Marketing 81
  • Computer Networks and Communications 201
  • Artificial Intelligence 162
  • Safety Research 33
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Countries citing papers authored by Rajdeep K. Dash

Since Specialization
Citations

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

Fields of papers citing papers by Rajdeep K. Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajdeep K. Dash. 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 Rajdeep K. Dash. The network helps show where Rajdeep K. Dash may publish in the future.

Co-authors

The 25 scholars most cited alongside Rajdeep K. Dash, 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 Rajdeep K. Dash Line = papers co-authored together Rajdeep K. Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003180
2
Overlapping coalition formation for efficient data fusion in multi-sensor networks
200663
3 200643
4 200743
5
A risk-based bidding strategy for continuous double auctions
200426
6 200426
7 200724
8 201024
9 200817
10 200517
11 200515
12 200714
13
Sellers Competing for Buyers in Online Markets: Reserve Prices, Shill Bids, and Auction Fees.
200613
14 200812
15
The ART of IAM: The Winning Strategy for the 2006 Competition
200711
16 20058
17 20066
18 20074
19 20062
20
A mechanism for multiple goods and interdependent valuations
20041

About Rajdeep K. Dash

Rajdeep K. Dash is a scholar working on Management Science and Operations Research, Artificial Intelligence, Marketing, Computer Networks and Communications and Safety Research, having authored 23 papers that have together received 550 indexed citations. Recurring topics across this work include Auction Theory and Applications (16 papers), Game Theory and Applications (11 papers), Consumer Market Behavior and Pricing (5 papers), Experimental Behavioral Economics Studies (4 papers), Logic, Reasoning, and Knowledge (3 papers), Multi-Agent Systems and Negotiation (3 papers), Game Theory and Voting Systems (3 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). The work is most often cited by research in Management Science and Operations Research (316 citations), Marketing (81 citations), Computer Networks and Communications (201 citations), Artificial Intelligence (162 citations) and Safety Research (33 citations). Rajdeep K. Dash has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nicholas R. Jennings, David C. Parkes, Alex Rogers, Perukrishnen Vytelingum, Kirk Martinez, Viet Dung Dang, Enrico Gerding, Esther David, Sarvapali D. Ramchurn and A. Rogers. Their work appears in journals such as Journal of Artificial Intelligence Research, Thrombosis and Haemostasis, Theoretical Computer Science, IEEE Intelligent Systems and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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