Deepak Rajan

1.2k citations
40 papers · 917 · h-index 13

Impact in

Papers in

Deepak Rajan

39 papers receiving 865 citations

Peers

Deepak Rajan
Comparison fields: 5 of 67
  • Computer Networks and Communications 532
  • Information Systems 372
  • Hardware and Architecture 74
  • Industrial and Manufacturing Engineering 91
  • Safety, Risk, Reliability and Quality 48
Replace Takayuki Osogami with:
Takayuki Osogami Japan
Yosr Jarraya Canada
Bjarne E. Helvik Norway
Manimaran Govindarasu United States
Siddharth Sridhar United States
Rubens Matos Brazil
Paul J. Kuehn Germany
Félicita Di Giandomenico Italy
J.W. Wong Canada
Slim Kallel Tunisia
Deepak Rajan relative to Takayuki Osogami Japan Takayuki Osogami's profile →
Citations per field
00.5×3.3×
Takayuki Osogami · 1×
Citations per year

Countries citing papers authored by Deepak Rajan

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012123
2 2010108
3
IBM Research Report Minimum Up/Down Polytopes of the Unit Commitment Problem with Start-Up Costs
200587
4 201079
5 200977
6 200273
7 201567
8 200862
9 201942
10 200423
11 200817
12 201215
13 200315
14 201412
15 202011
16 201611
17 201011
18 201610
19 20199
20 20127

About Deepak Rajan

Deepak Rajan is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 40 papers that have together received 917 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Risk and Portfolio Optimization (5 papers), Electric Power System Optimization (4 papers), Optimal Power Flow Distribution (4 papers), Optimization and Search Problems (4 papers), Advanced Optical Network Technologies (4 papers), Software-Defined Networks and 5G (4 papers) and Vehicle Routing Optimization Methods (4 papers). The work is most often cited by research in Computer Networks and Communications (532 citations), Information Systems (372 citations), Hardware and Architecture (74 citations), Industrial and Manufacturing Engineering (91 citations) and Safety, Risk, Reliability and Quality (48 citations). Deepak Rajan has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Alper Atamtürk, Sujay Parekh, Joel L. Wolf, Kirsten Hildrum, Samer Takriti, Kun‐Lung Wu, Rohit Khandekar, Andrey Balmin, Vibhore Kumar and Yongmin Tan. Their work appears in journals such as The VLDB Journal, Mathematical Programming, Discrete Optimization, Operations research, computer science. Interface series and INFORMS journal on 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.

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