K. Nirmala Devi

529 citations
53 papers · 265 · h-index 6

Impact in

Papers in

K. Nirmala Devi

36 papers receiving 228 citations

Peers

K. Nirmala Devi
Comparison fields: 5 of 70
  • Health Information Management 19
  • Artificial Intelligence 137
  • Management Science and Operations Research 41
  • Information Systems 58
  • Signal Processing 19
Replace Sepideh Bazzaz Abkenar with:
Sepideh Bazzaz Abkenar Iran
Johannes Jurgovsky Germany
James Max Kanter
Mostafa Saadi Morocco
Yacine Kessaci France
V. Murali Bhaskaran India
Marco Fisichella Germany
Sam Maes Belgium
Tahani Alsubait Saudi Arabia
Nusrat Rouf India
K. Nirmala Devi relative to Sepideh Bazzaz Abkenar Iran Sepideh Bazzaz Abkenar's profile →
Citations per field
00.5×7.7×
Sepideh Bazzaz Abkenar · 1×
Citations per year

Countries citing papers authored by K. Nirmala Devi

Since Specialization
Citations

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

Fields of papers citing papers by K. Nirmala Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Nirmala Devi. 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 K. Nirmala Devi. The network helps show where K. Nirmala Devi may publish in the future.

Co-authors

The 23 scholars most cited alongside K. Nirmala Devi, 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 K. Nirmala Devi Line = papers co-authored together K. Nirmala Devi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201397
2 201533
3 202227
4 202215
5 202211
6 20118
7 20125
8 20155
9 20174
10 20174
11 20184
12 20234
13 20243
14 20233
15 20233
16 20213
17 20123
18 20192
19 20252
20 20222

About K. Nirmala Devi

K. Nirmala Devi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 265 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (7 papers), Stock Market Forecasting Methods (5 papers), Artificial Intelligence in Healthcare (4 papers), IoT and Edge/Fog Computing (4 papers), Network Security and Intrusion Detection (4 papers), Data Stream Mining Techniques (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Health Information Management (19 citations), Artificial Intelligence (137 citations), Management Science and Operations Research (41 citations), Information Systems (58 citations) and Signal Processing (19 citations). K. Nirmala Devi has collaborated with scholars based in India, United States and Spain. Frequent co-authors include V. Murali Bhaskaran, N. Z. Jhanjhi, N. Krishnamoorthy, Mehedi Masud, R. Manikandan, T. K. Ramesh, S. Shanthi, I. Nelson, Vani Rajasekar and K. Prabha. Their work appears in journals such as Online Journal of Communication and Media Technologies, Optical and Quantum Electronics, Energies, Cluster Computing and Journal of the Korean Physical Society.

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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