Sameer Pawar

1.4k citations
32 papers · 737 indexed · h-index 13

Impact in

Papers in

Sameer Pawar

30 papers receiving 709 citations

Peers

Sameer Pawar
Comparison fields: 5 of 52
  • Computer Networks and Communications 524
  • Electrical and Electronic Engineering 443
  • Artificial Intelligence 190
  • Signal Processing 63
  • Computational Mechanics 80
Replace Victor B. Lawrence with:
Victor B. Lawrence United States
Dominik Seethaler Austria
S.J. Simmons Canada
Valerio Bioglio France
David Novo Switzerland
Aliazam Abbasfar Iran
Antoine Dejonghe Belgium
Ragnar Thobaben Sweden
Allen H. Levesque United States
Nam Yul Yu South Korea
Sameer Pawar relative to Victor B. Lawrence United States Victor B. Lawrence's profile →
Citations per field
00.5×3.2×
Victor B. Lawrence · 1×
Citations per year

Countries citing papers authored by Sameer Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006189
2 2011125
3 202058
4 201147
5 200838
6 201137
7 201336
8 200525
9 201725
10 201616
11 201114
12 201214
13 201513
14 201712
15 201511
16 201410
17 201210
18 20199
19 20118
20 20147

About Sameer Pawar

Sameer Pawar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computational Mechanics, Artificial Intelligence and Signal Processing, having authored 32 papers that have together received 737 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (12 papers), Sparse and Compressive Sensing Techniques (10 papers), Advanced Wireless Communication Techniques (8 papers), Blind Source Separation Techniques (6 papers), Error Correcting Code Techniques (5 papers), Caching and Content Delivery (4 papers), Coding theory and cryptography (4 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (524 citations), Electrical and Electronic Engineering (443 citations), Artificial Intelligence (190 citations), Signal Processing (63 citations) and Computational Mechanics (80 citations). Sameer Pawar has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Kannan Ramchandran, Salim El Rouayheb, P. Vijay Kumar, K. Raj Kumar, Petros Elia, H.-F. Lu, Michael Gastpar, David Tse, Amir Salman Avestimehr and Li Xiao. Their work appears in journals such as IEEE Transactions on Information Theory, Health Policy and Planning, IEEE Access, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Cureus.

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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