Rajdeep K. Dash

990 total citations
23 papers, 544 citations indexed

About

Rajdeep K. Dash is a scholar working on Management Science and Operations Research, Artificial Intelligence and Marketing. According to data from OpenAlex, Rajdeep K. Dash has authored 23 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 7 papers in Artificial Intelligence and 5 papers in Marketing. Recurrent topics in Rajdeep K. Dash's work include Auction Theory and Applications (16 papers), Game Theory and Applications (11 papers) and Consumer Market Behavior and Pricing (5 papers). Rajdeep K. Dash is often cited by papers focused on Auction Theory and Applications (16 papers), Game Theory and Applications (11 papers) and Consumer Market Behavior and Pricing (5 papers). Rajdeep K. Dash collaborates with scholars based in United Kingdom, Germany and United States. Rajdeep K. Dash's co-authors include Nicholas R. Jennings, David C. Parkes, Alex Rogers, Perukrishnen Vytelingum, Kirk Martinez, Viet Dung Dang, Esther David, Enrico Gerding, Sarvapali D. Ramchurn and Alex D. Rogers and has published in prestigious journals such as Thrombosis and Haemostasis, Theoretical Computer Science and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Rajdeep K. Dash

21 papers receiving 490 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajdeep K. Dash United Kingdom 13 312 198 160 104 80 23 544
Ryan Porter United States 8 264 0.8× 93 0.5× 89 0.6× 95 0.9× 54 0.7× 11 366
Azarakhsh Malekian United States 12 206 0.7× 80 0.4× 42 0.3× 90 0.9× 168 2.1× 44 468
Shaddin Dughmi United States 17 556 1.8× 222 1.1× 99 0.6× 176 1.7× 190 2.4× 45 677
Viet Dung Dang United Kingdom 9 274 0.9× 146 0.7× 132 0.8× 168 1.6× 36 0.5× 13 430
Fredrik Ygge Sweden 10 352 1.1× 169 0.9× 175 1.1× 66 0.6× 145 1.8× 32 601
Vahideh Manshadi United States 11 175 0.6× 156 0.8× 41 0.3× 46 0.4× 74 0.9× 43 421
Young-Hoon Park South Korea 12 149 0.5× 64 0.3× 50 0.3× 48 0.5× 232 2.9× 43 461
Maria Polukarov United Kingdom 11 250 0.8× 82 0.4× 76 0.5× 184 1.8× 32 0.4× 45 397
Gagan Goel United States 14 418 1.3× 330 1.7× 116 0.7× 89 0.9× 143 1.8× 32 624
Hamid Mahini Iran 12 160 0.5× 108 0.5× 36 0.2× 66 0.6× 20 0.3× 41 413

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-authorship network of co-authors of Rajdeep K. Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Rajdeep K. Dash. A scholar is included among the top collaborators of Rajdeep K. Dash 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 Rajdeep K. Dash. Rajdeep K. Dash 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
1.
Dash, Rajdeep K., et al.. (2010). A utility-based adaptive sensing and multihop communication protocol for wireless sensor networks. ACM Transactions on Sensor Networks. 6(3). 1–39. 23 indexed citations
2.
Dash, Rajdeep K., Andrea Giovannucci, Nicholas R. Jennings, et al.. (2008). Trust-Based Mechanisms for Robust and Efficient Task Allocation in the Presence of Execution Uncertainty. The Warwick Economics Research Paper Series (TWERPS).
3.
Rezek, Iead, David S. Leslie, Steve Reece, et al.. (2008). On Similarities between Inference in Game Theory and Machine Learning. Journal of Artificial Intelligence Research. 33. 259–283. 16 indexed citations
4.
Teacy, W. T. Luke, Trung Dong Huynh, Rajdeep K. Dash, et al.. (2007). The ART of IAM: The Winning Strategy for the 2006 Competition. ePrints Soton (University of Southampton). 11 indexed citations
5.
Gerding, Enrico, et al.. (2007). Optimal Bidding Strategies for Simultaneous Vickrey Auctions with Perfect Substitutes. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 4 indexed citations
6.
Rogers, A., Rajdeep K. Dash, Sarvapali D. Ramchurn, Perukrishnen Vytelingum, & Nicholas R. Jennings. (2007). Coordinating team players within a noisy Iterated Prisoner’s Dilemma tournament. Theoretical Computer Science. 377(1-3). 243–259. 13 indexed citations
7.
Vytelingum, Perukrishnen, et al.. (2006). Trading strategies for markets : a design framework and its application. ePrints Soton (University of Southampton). 1 indexed citations
8.
Dang, Viet Dung, Rajdeep K. Dash, Alex Rogers, & Nicholas R. Jennings. (2006). Overlapping coalition formation for efficient data fusion in multi-sensor networks. ePrints Soton (University of Southampton). 635–640. 62 indexed citations
9.
Gerding, Enrico, Alex Rogers, Rajdeep K. Dash, & Nicholas R. Jennings. (2006). Sellers Competing for Buyers in Online Markets: Reserve Prices, Shill Bids, and Auction Fees.. ePrints Soton (University of Southampton). 1287–1293. 13 indexed citations
10.
Rogers, A., Rajdeep K. Dash, Nicholas R. Jennings, Steven Reece, & Stephen Roberts. (2006). Computational mechanism design for multi-sensor information fusion. 1463–1464. 2 indexed citations
11.
Dash, Rajdeep K., et al.. (2006). A utility-based sensing and communication model for a glacial sensor network. 1353–1360. 43 indexed citations
12.
Gerding, Enrico, Alex Rogers, Rajdeep K. Dash, & Nicholas R. Jennings. (2006). Competing sellers in online markets. 1208–1210. 6 indexed citations
13.
Vytelingum, Perukrishnen, et al.. (2005). A Framework for Designing Strategies for Trading Agents. Thrombosis and Haemostasis. 111(2). 333–44. 8 indexed citations
14.
Dash, Rajdeep K., et al.. (2005). Trusted kernel-based coalition formation. 989–996. 15 indexed citations
15.
Dash, Rajdeep K., A. Rogers, Nicholas R. Jennings, Steven Reece, & Stephen Roberts. (2005). Constrained bandwidth allocation in multi-sensor information fusion: a mechanism design approach. 8 pp.–8 pp.. 17 indexed citations
16.
Rezek, Iead, Stephen Roberts, A. Rogers, Rajdeep K. Dash, & Nicholas R. Jennings. (2005). Unifying learning in games and graphical models. tr 2001 22. 6 pp.–6 pp..
17.
Dash, Rajdeep K., Alex Rogers, & Nicholas R. Jennings. (2004). A mechanism for multiple goods and interdependent valuations. ePrints Soton (University of Southampton). 1 indexed citations
18.
Dash, Rajdeep K., Sarvapali D. Ramchurn, & Nicholas R. Jennings. (2004). Trust-Based Mechanism Design. Adaptive Agents and Multi-Agents Systems. 748–755. 26 indexed citations
19.
Vytelingum, Perukrishnen, Rajdeep K. Dash, Esther David, & Nicholas R. Jennings. (2004). A risk-based bidding strategy for continuous double auctions. ePrints Soton (University of Southampton). 79–83. 26 indexed citations
20.
Dash, Rajdeep K., Nicholas R. Jennings, & David C. Parkes. (2003). Computational-mechanism design: a call to arms. IEEE Intelligent Systems. 18(6). 40–47. 178 indexed citations

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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