Nitin Auluck

548 citations
39 papers · 374 · h-index 12

Impact in

Papers in

Nitin Auluck

37 papers receiving 355 citations

Peers

Nitin Auluck
Comparison fields: 5 of 47
  • Computer Networks and Communications 281
  • Hardware and Architecture 66
  • Information Systems 164
  • Computer Vision and Pattern Recognition 53
  • Industrial and Manufacturing Engineering 19
Replace Jian Wan with:
Jian Wan China
Muhammad Asad Saleem Pakistan
Deokkyu Kwon South Korea
Venkatasamy Sureshkumar India
Angelo Corsaro United States
S. Jegadeesan India
Bangbang Ren China
Firooz B. Saghezchi Portugal
Chia-Heng Tu Taiwan
Amjed Sid Ahmed Malaysia
Nitin Auluck relative to Jian Wan China Jian Wan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nitin Auluck

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Auluck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201942
3 201431
4 202226
5 201919
6 201718
7 201917
8 202015
9 202114
10 202314
11 201813
12 202311
13 20129
14 20229
15 20049
16 20148
17 20236
18 20226
19 20185
20 20165

About Nitin Auluck

Nitin Auluck is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 39 papers that have together received 374 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (21 papers), Distributed and Parallel Computing Systems (13 papers), Cloud Computing and Resource Management (10 papers), Real-Time Systems Scheduling (6 papers), Context-Aware Activity Recognition Systems (5 papers), Parallel Computing and Optimization Techniques (4 papers), Scheduling and Optimization Algorithms (4 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (281 citations), Hardware and Architecture (66 citations), Information Systems (164 citations), Computer Vision and Pattern Recognition (53 citations) and Industrial and Manufacturing Engineering (19 citations). Nitin Auluck has collaborated with scholars based in India, United Kingdom and Canada. Frequent co-authors include Akramul Azim, Omer Rana, ‪Surya Nepal‬, Andrew Jones, Amanjot Kaur, Rajiv Ranjan, Abhik Banerjee, Prem Prakash Jayaraman, Dharma P. Agrawal and Karan Mitra. Their work appears in journals such as IEEE Transactions on Services Computing, Software Practice and Experience, IEEE Transactions on Parallel and Distributed Systems, IEEE Internet of Things Journal and Future Generation Computer Systems.

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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