Sunil Thulasidasan

507 citations
24 papers · 205 indexed · h-index 10

Impact in

Papers in

    • Network Traffic and Congestion Control 6
    • Distributed and Parallel Computing Systems 5
    • Software-Defined Networks and 5G 3
    • Advanced Data Storage Technologies 3
    • Transportation Planning and Optimization 3

Sunil Thulasidasan

24 papers receiving 198 citations

Peers

Sunil Thulasidasan
Comparison fields: 5 of 54
  • Computer Networks and Communications 118
  • Hardware and Architecture 32
  • Transportation 16
  • Management Science and Operations Research 26
  • Signal Processing 22
Replace Philipp Andelfinger with:
Philipp Andelfinger Germany
Myungcheol Doo United States
Damiano Carra Italy
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D. Janaki Ram India
T. V. Suresh Kumar India
Qingchao Cai Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Sunil Thulasidasan

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Thulasidasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Sunil Thulasidasan, 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 Sunil Thulasidasan Line = papers co-authored together Sunil Thulasidasan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Combating Label Noise in Deep Learning using Abstention
20199
2
Knows When it Doesn’t Know: Deep Abstaining Classifiers
20182
3 20175
4 20172
5 20163
6 20168
7 201520
8
A comparative study of two models for celebrity identification on twitter
20145
9 201421
10 201310
11 201012
12 20097
13 200920
14 200910
15 20099
16 20071
17 200425
18 200415
19 20046
20
Using Steady- State TCP Behavior for Proactive Queue Management.
20021

About Sunil Thulasidasan

Sunil Thulasidasan is a scholar working on Computer Networks and Communications, Transportation, Hardware and Architecture, Management Science and Operations Research and Signal Processing, having authored 24 papers that have together received 205 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (6 papers), Distributed and Parallel Computing Systems (5 papers), Traffic control and management (4 papers), Simulation Techniques and Applications (4 papers), Transportation Planning and Optimization (3 papers), Software-Defined Networks and 5G (3 papers), Advanced Data Storage Technologies (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (118 citations), Hardware and Architecture (32 citations), Transportation (16 citations), Management Science and Operations Research (26 citations) and Signal Processing (22 citations). Sunil Thulasidasan has collaborated with scholars based in United States, India and France. Frequent co-authors include Stephan Eidenbenz, Wu-chun Feng, Hristo Djidjev, Apu Kapadia, Dominique Lavenier, Rumen Andonov, Guillaume Chapuis, Mark K. Gardner, Shiva Prasad Kasiviswanathan and Srinath Srinivasa. Their work appears in journals such as Computer Communications, Journal of Parallel and Distributed Computing, Computer Networks, SIMULATION and International Conference on Management of Data.

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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