Animesh Pathak

968 citations
15 papers · 324 indexed · h-index 9
Topics
Energy Efficient Wireless Sensor Networks (7 papers)Modular Robots and Swarm Intelligence (6 papers)Energy Harvesting in Wireless Networks (4 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

Animesh Pathak

15 papers receiving 312 citations

Peers

Animesh Pathak
Comparison fields: 5 of 46
  • Computer Networks and Communications 145
  • Artificial Intelligence 123
  • Information Systems 91
  • Computer Science Applications 69
  • Electrical and Electronic Engineering 68
Replace Asankhaya Sharma with:
Asankhaya Sharma Singapore
Xuewen Dong China
Javier Ferrer Spain
Rui Pereira Portugal
Mounir Frikha Tunisia
Wenjia Niu China
Tianlong Yu United States
Jae-Young Hwang South Korea
Nitinder Mohan Germany
Ji Wu China
Animesh Pathak relative to Asankhaya Sharma Singapore Asankhaya Sharma's profile →
Citations per field
00.5×1.5×1.9×
Asankhaya Sharma · 1×
Citations per year

Countries citing papers authored by Animesh Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Animesh Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Animesh Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Animesh Pathak. A scholar is included among the top collaborators of Animesh Pathak 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 Animesh Pathak. Animesh Pathak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 72
2 8
3 17
4 102
5 8
6
Revisiting the Middleware Paradigm: On-the-fly Interoperability in Highly Complex Distributed Systems
1
7 12
8 4
9 42
10 12
11 10
12 17
13 1
14 11
15
System-level Support for Macroprogramming of Networked Sensing Applications
7

About Animesh Pathak

Animesh Pathak is a scholar working on Computer Science Applications, Computer Networks and Communications and Transportation, having authored 15 papers that have together received 324 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Modular Robots and Swarm Intelligence (6 papers) and Energy Harvesting in Wireless Networks (4 papers). The work is most often cited by research in Computer Science Applications (69 citations), Software (37 citations) and Transportation (52 citations). Animesh Pathak has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Viktor K. Prasanna, Valérie Issarny, David Benavides, Karina Villela, Dave Clarke, Lorenzo Bettini, Salvador Trujillo, Ina Schaefer, Rick Rabiser and Goetz Botterweck. Their work appears in journals such as IEEE Transactions on Computers, Pervasive and Mobile Computing and ACM Transactions on Intelligent Systems and Technology.

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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