Atul Negi

1.7k citations
117 papers · 937 · h-index 15

Impact in

Papers in

Atul Negi

103 papers receiving 832 citations

Peers

Atul Negi
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 357
  • Media Technology 152
  • Computer Networks and Communications 378
  • Hardware and Architecture 82
  • Information Systems 197
Replace Jürgen Schönwälder with:
Jürgen Schönwälder Germany
Moath Jarrah Jordan
Zhonghong Ou China
Bin Tang China
Ling Gao China
Himanshu Gupta India
Abdur Rahim Biswas Italy
Keith Winstein United States
Jieren Cheng China
Atul Negi relative to Jürgen Schönwälder Germany Jürgen Schönwälder's profile →
Citations per field
00.5×4.8×
Jürgen Schönwälder · 1×
Citations per year

Countries citing papers authored by Atul Negi

Since Specialization
Citations

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

Fields of papers citing papers by Atul Negi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 200270
3 201749
4 201846
5 201442
6 200735
7 200533
8 200730
9 200521
10 200519
11 201917
12 200616
13 201716
14 201515
15 200314
16 201014
17 202214
18 201813
19 201913
20
A CROSS - DOMAIN ROLE MAPPING AND AUTHORIZATION FRAMEWORK FOR RBAC IN GRID SYSTEMS
200912

About Atul Negi

Atul Negi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Media Technology and Artificial Intelligence, having authored 117 papers that have together received 937 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (22 papers), Distributed and Parallel Computing Systems (17 papers), Image Retrieval and Classification Techniques (16 papers), Vehicle License Plate Recognition (15 papers), IoT and Edge/Fog Computing (15 papers), Face and Expression Recognition (14 papers), Cloud Computing and Resource Management (14 papers) and Mobile Ad Hoc Networks (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (357 citations), Media Technology (152 citations), Computer Networks and Communications (378 citations), Hardware and Architecture (82 citations) and Information Systems (197 citations). Atul Negi has collaborated with scholars based in India, United States and Chile. Frequent co-authors include Chakravarthy Bhagvati, Nenavath Srinivas Naik, V. N. Sastry, Rajeev Wankar, R. Anitha, Pradeep Kumar, C. Raghavendra Rao, Vijaya Kumar Koppula, Nagender Kumar Suryadevara and B. L. Deekshatulu. Their work appears in journals such as IEEE Sensors Journal, Future Generation Computer Systems, Pattern Recognition, Pattern Analysis and Applications and Machine Vision and Applications.

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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